- computational.science - lists.iccsa.org

Your Contribution to a Research on Human-Smart Devices Interaction
by Francesco Lelli 30 Mar '20

30 Mar '20

Hello, I am Prof. Francesco Lelli (*) and together with Dr. Heidi Toivonen (**) we are running a multidisciplinary research on human-smart devices interaction. We are inviting you to take part in a little survey regarding your relationship with smart devices. In doing this survey, you will be able to reflect on how you relate to technology, while contributing to a study that aims to foster a deeper understanding of human interaction with personal smart devices that are becoming a more and more pervasive element of our everyday life. We sincerely appreciate your support and collaboration. Completing the survey will take you no more than 5 minutes. Follow this link to the Survey: Take the Survey <https://tilburgss.co1.qualtrics.com/jfe/form/SV_8GMjalxLgvKO1ox?Q_DL=cBfRpP…> Or copy and paste the URL below into your internet browser: https://tilburgss.co1.qualtrics.com/jfe/form/SV_8GMjalxLgvKO1ox?Q_DL=cBfRpP… You are also welcome to forward this invitation to anybody you think may be interested in participating in this research. Obviously, you are very welcome to contact us if you have any questions by replying to this email. In addition, if you have done work that you believe is relevant for this research, please get in touch. We look forward to learning from you! All the Best, Francesco Lelli and Heidi Toivonen (*) Doing research on Internet of Things and Information Management, more info at:https://francescolelli.info/ <https://francescolelli.info/ > (**) Doing research on agency in the field of Psychology, more info at http://www.heiditoivonen.com/ <http://www.heiditoivonen.com/> -- -- -- =================================================== Dr. Francesco Lelli Tilburg School of Economics and Management Department of Management Web: https://www.francescolelli.info/ <https://www.francescolelli.info/?utm_source=signature&utm_medium=email&utm_…> eMail: f.lelli(a)TilburgUniversity.edu <mailto:f.lelli@TilburgUniversity.edu> =================================================== The contents of this e-mail and its attachments ("message") are confidential and may be subject to legal privilege. The contents may not be disclosed, copied or distributed without the prior written consent of the sender Follow the link to opt out of future emails: Click here to unsubscribe <https://tilburgss.co1.qualtrics.com/CP/Register.php?OptOut=true&RID=MLRP_4Z…>

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[PSD 2020] PRIVACY IN STATISTICAL DATABASES, Springer LNCS, Arezzo, Italy, Sep. 23-25, 2020
by Joaquin Garcia-Alfaro 28 Mar '20

28 Mar '20

[apologies for cross-posting] PRIVACY IN STATISTICAL DATABASES 2020 (PSD 2020) ================================================ Arezzo, Italy, Sep. 23-25, 2020 http://unescoprivacychair.urv.cat/psd2020 Submission deadline: **MAY 24, 2020** 1. AIMS AND GOAL ----------------- Privacy in statistical databases is about finding trade-offs to the tension between the increasing societal and economical demand for accurate information and the legal and ethical obligation to protect the privacy of individuals and enterprises which are the respondents providing the statistical data. In the case of statistical databases, the motivation for respondent privacy is one of survival: statistical agencies or survey institutes cannot expect to collect accurate information from individual or corporate respondents unless these feel the privacy of their responses is guaranteed. Beyond respondent privacy, there are two additional privacy dimensions to be considered: privacy for the data owners (organizations owning or gathering the data, who would not like to share the data they have collected at great expense) and privacy for the users (those who submit queries to the database and would like their analyses to stay private). "Privacy in Statistical Databases 2020" (PSD 2020) is a conference sponsored and organized by the UNESCO Chair in Data Privacy (http://unescoprivacychair.urv.cat) with proceedings published by Springer-Verlag in Lecture Notes in Computer Science. The purpose of PSD 2020 is to attract world-wide, high-level research in statistical database privacy. PSD 2020 is a successor to - PSD 2018 (Valencia, Sep. 26-28, 2018, https://unescoprivacychair.urv.cat/psd2018/) - PSD 2016 (Dubrovnik, Sep. 14-16, 2016, https://unescoprivacychair.urv.cat/psd2016/) - PSD 2014 (Eivissa, Sep. 17-19, 2014, http://unescoprivacychair.urv.cat/psd2014/) - PSD 2012 (Palermo, Sep. 26-28, 2012, http://unescoprivacychair.urv.cat/psd2012) - PSD 2010 (Corfu, Sep. 22-24, 2010, http://unescoprivacychair.urv.cat/psd2010) - PSD 2008 (Istanbul, Sep. 24-26, 2008, http://unescoprivacychair.urv.cat/psd2008) - PSD 2006 (Rome, Dec. 13-15, 2006, http://crises-deim.urv.cat/psd2006) and PSD 2004 (Barcelona, June 9-11, 2004, http://crises-deim.urv.cat/psd2004) all with proceedings published by Springer in LNCS 11126, LNCS 9867, LNCS 8744, LNCS 7556, LNCS 6344, LNCS 5262, LNCS 4302 and LNCS 3050, respectively. Those nine PSD conferences follow a tradition of high-quality technical conferences on SDC which started with "Statistical Data Protection-SDP'98", held in Lisbon in 1998 and with proceedings published by OPOCE, and continued with the AMRADS project SDC Workshop, held in Luxemburg in 2001 and with proceedings published in Springer LNCS 2316. Like the aforementioned preceding conferences, PSD 2020 originates in Europe, but wishes to stay a worldwide event in database privacy and SDC. Thus, contributions and attendees from overseas are welcome. 2. ORGANIZATION --------------- PROGRAM COMMITTEE (More members to be confirmed soon) - Jane Bambauer (University of Arizona, USA) - Bettina Berendt (Katholieke Universiteit Leuven, Belgium) - Elisa Bertino (CERIAS, Purdue University, USA) - Aleksandra Bujnowska (EUROSTAT, European Union) - Jordi Castro (Universitat PolitËcnica de Catalunya) - Anne-Sophie Charest (UniversitÈ Laval, QuÈbec, Canada) - Chris Clifton (Purdue University, USA) - Graham Cormode (University of Warwick, UK) - Peter-Paul de Wolf (Statistics Netherlands) - Josep Domingo (Universitat Rovira i Virgili, Catalonia) - Joerg Drechsler (IAB, Germany) - Khaled El Emam (University of Ottawa, Canada) - Mark Elliot (Manchester University, UK) - SÈbastien Gambs (UniversitÈ du QuÈbec ‡ MontrÈal) - Sarah Giessing (Destatis, Germany) - Hiroaki Kikuchi (Meiji University, Japan) - Bradley Malin (Vanderbilt University, USA) - Laura McKenna (Census Bureau, USA) - Anna Monreale (Universit‡ di Pisa, Italy) - Krish Muralidhar (The University of Oklahoma, USA) - Anna Oganyan (National Center for Health Statistics, USA) - David Rebollo (Universitat Rovira i Virgili, Catalonia) - Jerry Reiter (Duke University, USA) - Yosef Rinott (Hebrew University, Israel) - Steven Ruggles (University of Minnesota, USA) - Nicolas Ruiz (OECD, European Union) - Pierangela Samarati (University of Milan, Italy) - David S·nchez (Universitat Rovira i Virgili, Catalonia) - Eric Schulte-Nordholt (Statistics Netherlands) - Natalie Shlomo (University of Manchester, UK) - Aleksandra Slavkovic (Penn State University, USA) - Jordi Soria-Comas (Catalan Data Protection Authority, Catalonia) - Tamir Tassa (The Open University, Israel) - Vicenc Torra (National University of Ireland-Maynooth, Ireland) - Lars Vilhuber (Cornell University, USA) PROGRAM CHAIR - Josep Domingo-Ferrer (UNESCO Chair in Data Privacy, Universitat Rovira i Virgili, Catalonia) GENERAL CHAIR - Krishnamurty Muralidhar (The University of Oklahoma, USA) ORGANIZATION COMMITTEE - Joaquin Garcia-Alfaro (Telecom SudParis, France) - Giulia Lombardi (The University of Oklahoma, Italy) - Jesus Manjon (Universitat Rovira i Virgili, Catalonia) - Romina Russo (Universitat Rovira i Virgili, Catalonia) 3. TOPICS OF INTEREST --------------------- Topics of interest include but are not limited to: - New anonymization methods for tabular data - New anonymization methods for microdata (including non-conventional microdata types such as trajectories, graphs, etc.) - Best anonymization practices for tabular data - Best anonymization practices for microdata - Co-utility for privacy preservation - Big data anonymization - Streaming data anonymization - Decentralized anonymization - Balancing data quality and data confidentiality in SDC - Differential privacy and other privacy models - SDC transparency issues - Onsite access centers - Remote access facilities - SDC software - Estimating disclosure risk in SDC - Record linkage methods - Real-life disclosure scenarios in EU-member states and abroad - Privacy preserving data mining (both cryptographic and non-cryptographic) - Private information retrieval - Privacy in web-based e-commerce - Privacy in healthcare - Privacy in official and corporate statistics - Other data anonymization issues 4. SUBMISSIONS -------------- Full papers containing either original technical contributions or high-quality surveys on the above topics or on related topics are sought. Camera-ready versions of accepted papers should be prepared using the LaTeX2estyle or the Word template of Springer Verlag Lecture Notes in ComputerScience. For LaTeX2e, a macro package llncs.zip and an example file typeinst.zip can be downloaded from https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…. For Microsoft Word, a template word.zip can be downloaded from the same page above. We encourage authors to use the above formats already for their submissions. LENGTH OF SUBMISSIONS. Using the above format with 11 point font, the paper should be at most 12 pages excluding bibliography and appendices, and at most 16 pages total. Committee members are not required to read appendices; the paper should be intelligible without them. Submissions not meeting these guidelines risk rejection without consideration of their merits. 5. PROCEEDINGS -------------- Among PSD 2020 accepted papers, a selection will be made based on quality and coverage and the selected papers will be published in the Lecture Notes in Computer Science (LNCS) series by Springer. This follows the tradition of the previous PSD conferences. The remaining accepted papers will be published in a USB with an ISBN. It is possible to submit a paper directly for the USB, which benefits from a later submission deadline (see USB-only dates below). The form of publication of an accepted paper will be clearly specified in the acceptance message. Both the LNCS volume and the CD will be *available at the conference*. 6. IMPORTANT DATES ------------------ Submission deadline: **MAY 24, 2020** Acceptance notification: June 26, 2020 Proceedings version due: July 5, 2020 USB-only submission deadline: July 5, 2020 USB-only acceptance notification: July 15, 2020 USB-only proceedings version due: July 22, 2020 Conference: Sep. 23-25, 2020 7. VENUE AND TRAVEL ------------------- The conference will take place at the San Francesco classroom annex of the 'Oklahoma University in Arezzo' facilities, located in the city of Arezzo. OU in Arezzo. San Francesco Classroom annex Piazza San Francesco, 18 Arezzo, Italy 52100 http://www.ou.edu/cis/education_abroad/programs/ou-in-arezzo Further venue, travel and accommodation information will be posted in due course at http://unescoprivacychair.urv.cat/psd2020 A number of travel grants are made available by the UNESCO Chair in Data Privacy, especially for authors and delegates from transition countries. Information on grants is posted in the conference web site. 8. REGISTRATION --------------- Registration information will be posted no later than June 2020 at http://unescoprivacychair.urv.cat/psd2020

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[CFP ICICS 2020] Information and Communications Security, Springer, LNCS, Denmark, Aug 2020
by Joaquin Garcia-Alfaro 28 Mar '20

28 Mar '20

[apologies for cross-posting] 22nd International Conference on Information and Communications Security (ICICS 2020) ================================================ Copenhagen, Denmark, 24-27 August 2020 http://icics2020.compute.dtu.dk/ Submission deadline: **3 May 2020 (23:59 AOE - Extended!)** ================================================ The 2020 International Conference on Information and Communications Security will be the 22nd event in the ICICS conference series, started in 1997, that brings together individuals involved in multiple disciplines of Information and Communications Security in order to foster exchange of ideas. There will be Best Paper and Best Student Paper awards with cash reward sponsored by Springer. It will be organized by Technical University of Denmark (DTU). http://icics2020.compute.dtu.dk/ Program Topics: Original papers offering novel research contributions on all aspects of information and communications security are solicited for submission to ICICS 2019. Areas of interest include, but are not limited to: Access control Social networks security, privacy and trust Key management and key recovery Software defined networking security Anonymity Embedded systems security Language-based security Security management Applied cryptography Security models, metrics, and policies Malware and anti-malware Fraud and cyber-crime Authentication and authorization Security and privacy of Big Data Mobile computing security and privacy Hardware security Biometrics security Security of critical Infrastructures Network security Identity access management Blockchain security and privacy Trust and reputation systems Cloud and edge computing security Trusted and trustworthy computing technologies Operating systems security Usable security and privacy Computer and digital forensics Insider threat detection Cyber-physical systems security Underground economy Privacy protection Intellectual property protection Data and system integrity Verification of security protocols Privacy-preserving data mining Intrusion detection Database security Web security Risk assessment IoT security and privacy Distributed systems security Wireless security Instructions for Authors: Authors are invited to submit original papers not previously published nor submitted in parallel for publication to any other conference, workshop or journal. All submitted papers must be anonymous, with no author names, affiliations, acknowledgements, or obvious references. Submissions should be in English, as a PDF file with all fonts embedded, in the Springer-Verlag LNCS format (details can be found at: http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0) typeset with 11pt font, and using reasonable spacing and margins. Papers should not exceed 16 pages in LNCS style including the bibliography, but excluding well-marked appendices (no more than 18 pages in total). Note that papers should be intelligible without all appendices, since committee members are not required to read them. Submitted papers may risk being rejected directly without consideration of their merits if they do not follow all the above submission instructions. Accepted papers will be presented at ICICS 2020 and included in the conference's post-proceeding published by Springer in its Lecture Notes in Computer Science series. Please note that at least one author of each accepted paper should register with full rate to the conference and give a presentation at the conference. Failure to register or absence from the presentation will eventually make your paper NOT being included in the conference proceedings. Organization: General Chairs - Christian D. Jensen, Technical University of Denmark, Denmark - Jianying Zhou, Singapore University of Technology and Design, Singapore Program Chairs - Dieter Gollmann, Hamburg University of Technology, Germany - Weizhi Meng, Technical University of Denmark, Denmark If there is any question, please contact us at: icics2020-1(a)easychair.org.

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TENTH INTERNATIONAL SYMPOSIUM ON DATA-DRIVEN PROCESS DISCOVERY AND ANALYSIS - SIMPDA 2020
by Paolo Ceravolo 27 Mar '20

27 Mar '20

# SIMPDA 2019 ## TENTH INTERNATIONAL SYMPOSIUM ON DATA-DRIVEN PROCESS DISCOVERY AND ANALYSIS ### In conjunction with the 24th European Conference on Advances in Databases and Information Systems – ADBIS 2020 – Lyon, France, August 25, 2020 [http://simpda2020.di.unimi.it](http://simpda2020.di.unimi.it) [![ADBIS](http://eric.univ-lyon2.fr/adbis-tpdl-eda-2020/wp-content/uploads/2019/05/adbis_logo2-270x192.png)](http://eric.univ-lyon2.fr/adbis-tpdl-eda-2020/adbis/) ## About SIMPDA The increasing automation of business processes and the growing amounts of process data become available opens new research opportunities for business process data analysis, mining, and modeling. The aim of the *IFIP W.G. 2.6 International Symposium on Data-Driven Process Discovery and Analysis* is to offer a forum where researchers from different communities and the industry can share their insight in this hot new field. The Symposium will feature a number of advanced *research papers*, shorter presentations on recent research, a competitive *Ph.D. seminar* and selected research and *industrial demonstrations*. This year the symposium will be held in Bled, in cunjunction with the ADBIS conference. ###Call for Papers The **IFIP W.G. 2.6** *International Symposium on Data-Driven Process Discovery and Analysis* **(SIMPDA 2020)** offers a unique opportunity to present new approaches and research results to researchers and practitioners working in business process data modelling, representation, and privacy-aware analysis. The symposium will bring together leading researchers, engineers, and scientists from around the world. Full papers must not exceed 12 pages. Short papers are limited to at most 6 pages. All papers must be original contributions, not previously published or under review for publication elsewhere. All contributions must be written in English and must follow the **CCIS template** and **Springer** paper preparation rules, see: [https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…. ### Call for post-Proceedings The authors of the accepted papers will be invited to submit extended articles to a post-symposium proceedings volume which will be published in the **LNBIP series** [Lecture Notes in Business Information Processing](http://www.springer.com/series/7911), scheduled for late 2020 (extended papers length will be between 7000 and 9000 words). Around 5-8 papers will be selected for publication after a second round of review. ### Topics Topics of interest for submission include, but are not limited to: * Business process modeling languages, notations, and methods * Lightweight process model * Data-aware and data-centric approaches * Big Data process representation and management * Online Process Mining * Process mining with Big Data * Variability and configuration of process models * Process simulation and static analyses * Process data query languages * Process data mining * Process data visualization and reporting * Privacy-aware process data mining * Process metadata and semantic reasoning * Process patterns and standards * Foundations of business process models * Resource management in business process execution * Process tracing and monitoring * Process change management and evolution * Business process lifecycle * Case studies and experience * Social process discovery * Crowdsourced process definition and discovery  ### Call for Ph.D. Research Plans The SIMPDA Ph.D. Seminar is a workshop for **Ph.D. students** from all over the world. The goal of the Seminar is to help students with their thesis and research plans by providing feedback and general advice on how to use their research results. Students interested in participating in the Seminar should submit an extended abstract describing their research. Submissions can relate to any aspect of Process Data: technical advances, usage and impact studies, policy analyses, social and institutional implications, theoretical contributions, interaction and design advances, innovative applications, and social implications. **Research plans** should be at most of 6 page long and should be organised following the following structure: * Abstract: summarises, in 5 line, the research aims and significance. * Research Question: defines what will be accomplished by eliciting the relevant the research questions. * Background: defines the background knowledge providing the 5 most relevant references (papers or books). * Significance: explains the relevance of the general topic and of the specific contribution. * Research design and methods: describes and motivates the method adopted focusing on: assumptions, solutions, data sources, validation of results, limitations of the approach. * Research stage: describes what the student has done so far. ### SIMPDA Ph.D. award A doctoral award will be given by the SIMPDA Ph.D. Jury to the best research plan submitted. ### CALL for Demonstrations Demonstrations showcase innovative technology and applications, allowing for sharing research work directly with colleagues in a high-visibility setting. Demonstration proposals should consist of a title, an extended abstract, and contact information for the authors, and should not exceed 12 pages. ### Submission Guidelines Contributions to all calls should be submitted electronically to the Symposium management system connecting to [http://www.easychair.org/conferences/?conf=simpda2020](http://www.easychair…. At least one author of each accepted paper is expected to participate in the conference and present his/her work. The papers submitted must be sent in PDF, following CCIS template and Springer paper preparation rules, see: [https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu… > > **Registrations** are managed by the [ADBIS system](http://eric.univ-lyon2.fr/adbis-tpdl-eda-2020/registration/) > ### Important Dates | Milestone | Deadline| | ------ | ------ | | Paper Submission| April 30, 2020| | Notification of Acceptance| May 05, 2020| | Submission of Camera Ready Papers| June 05 2020| | Symposium| August 25 2020| | Post-proceeding submissions| 30 January 2021| ## Organizers ### CHAIRS * Paolo Ceravolo, Università degli Studi di Milano, Italy * Maurice van Keulen, University of Twente, The Netherlands * Maria Teresa Gomez Lopez, University of Seville, Spain ### Program Committee - Alexandra Mazak - University of Vienna, Austria - Robert Singer - FH JOANNEUM, Austria - Manfred Reichert - University of Ulm, Germany - Schahram Dustdar - Vienna University of Technology, Austria - Helen Balinsky - Hewlett-Packard Laboratories, UK - Valentina Emilia Balas - University of Arad, Romania - Antonio Mana Gomez - Universidad de Malaga, Spain - Karima Boudaoud - Ecole Polytechnique de Nice Sophia Antipolis, France - Jan Mendling - Vienna University of Economics and Business, Austria - Peter Spyns - Flemish Government, Belgium - Mohamed Mosbah - University of Bordeaux - Chintan Mrit - University of Twente, The Netherlands - Fabrizio Maria Maggi - University of Tartu, Estonia - Pnina Soffer - University of Haifa, Israel - Matthias Weidlich - Imperial College, UK - Roland Rieke - Fraunhofer SIT, Germany - Edgar Weippl - TU Vienna, Austria - Benoit Depaire - University of Hasselt, Belgium - Angel Jesus - Varela University of Seville, Spain - Luisa Parody - University Loyola Andalucia, Spain - Antonia Azzini - Consorzio C2T, Italy - Jorge Cardoso - University of Coimbra, Spain - Carlos Fernandez-Llatas - Universitat Politecnica de Valencia, Spain - Chiara Di Francescomarino - Fondazione Bruno Kessler, Italy - Faiza Bukhsh - University of Twente, The Netherlands - Mirjana Pejiƒá Bach - University of Zagreb, Croatia - Tamara Quaranta - 40Labs, Italy - Anna Wilbik - Eindhoven University of Technology, The Netherlands - Yingqian Zhang - Eindhoven University of Technology, The Netherlands - Richard Chbeir - Univ. Pau & Pays Adour, France - Renata Medeiros - Eindhoven University of Technology, The Netherlands

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PhD in formal methods and security, cotutelle France-Scotland
by Barbara Fila (Kordy) 25 Mar '20

25 Mar '20

We have a fully-funded three-year PhD position in formal methods for information security. This is a joint doctorate (cotutelle) between IRISA (Rennes, France) and Heriot-Watt University (Edinburgh, Scotland). The student will obtain a PhD degree from both universities. For more details, see http://people.irisa.fr/Barbara.Kordy/vacancies.php The deadline for applications is Friday, May 15, 2020, but applications will be considered until the position is filled. For all inquiries please contact Barbara Fila (barbara.fila(a)irisa.fr) and Saša Radomirović (sasa.radomirovic(a)hw.ac.uk) With kind regards, Barbara ---------------------- http://people.irisa.fr/Barbara.Kordy/

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CFP: Special Issue "Modeling and Analysis of Data-Driven Systems through Computational Neuroscience" with Hindawi's Computational Intelligence and Neuroscience
by Computational Science Mailing List 24 Mar '20

24 Mar '20

[Apologies for Multiple Emails] Please consider submitting your manuscript to the special issue of "Modeling and Analysis of Data-Driven Systems through Computational Neuroscience" with Hindawi's Computational Intelligence and Neuroscience. Theme of this special issue: Artificial intelligence(AI)based application systems are becoming the mainstream in the software industry and application domains such as computational neuroscience, bioinformatics, and healthcare. Recent advances in big data generation and management have created an avenue for decision makers to utilize these huge volumes of data for different purposes and analyses. AI-based application developers have long utilized conventional machine learning techniques to design better user interfaces and vulnerability predictions. However, with the advancement of deep learning-based and neural-based networks and algorithms, researchers are able to explore and learn more about data and their exposed relationships or hidden features. This new trend of developing data-driven application systems seeks the adaptation of computational neural network algorithms and techniques in many application domains, including software systems, cyber security, human activity recognition, and behavioral modeling. As such, computational neural networks algorithms can be refined to address problems in data-driven applications. This Special Issue aims to foster machine and deep learning approaches to data-driven applications, in which data governs the behavior of applications. Original research and review articles that consider how to model and build data-driven applications using computational neuroscience are encouraged. More specifically, it is of interest to learn how neuron networks can represent data-driven applications and their behaviors in order to extract key features. The Special Issue will enable researchers from academia and industry to share innovative applications and creative solutions to common problems when modeling neural-based applications in computational neuroscience and neuroengineering. Topics of Interest: Potential topics include but are not limited to the following: - Neural programming and coding in data-driven systems using machine and deep learning - Attention and learning of data-driven systems using neural memory networks - Neural-based mathematical formulation of information and data using machine and deep learning - Human perception, cognition, and decision making through neural networks - Human activity recognition through deep neural modeling - Modeling and prediction of human behavior using computational neuroscience techniques - Modeling human-computer interactions through neural networks - Modeling humanoid intelligent bots and mimicking human behavior using computational neuroscience techniques For more information regarding this special issue, please visit the following link: https://www.hindawi.com/journals/cin/si/696425/ Sincerely, Akbar Namin, The lead editor of this special issue.

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ICCSA 2020 workshop Advanced Transport Tools and Methods - A2TM deadline extension and coronavirus outbreak news
by Computational Science Mailing List 24 Mar '20

24 Mar '20

Dear Collegue, I hope to find yourself in good health. Inside the 20th International Conference on Computational Science and Its Application, to be held in Cagliari, Italy in July 1-4 2020, we organized the workshop: Advanced Transport Tools and Methods - A2TM http://www.iccsa.org/workshops The Local Organizing Commitee is doing a great job laying the foundation for a great conference. We are not experts on epidemics and, in order to be sure, it is better to observe the evolution of the phenomenon in order to take better decisions. For this reason we decided new deadlines: Â·Â Â Â Â Â Â full paper submission 26 April 2020 for our Workshop Transport and Mo, the sessions can have different deadlines; Â·Â Â Â Â Â Â notification of Acceptance 24 May 2020; Â·Â Â Â Â Â Â submission deadline for camera ready paper and registration 15 June 2020. In last days the submission flow increased a lot, this means that in all cases the proceedings (Springer LNCS) will be published. Due to the deadline extension, the volumes will be published after the conference. I hope that in the summer, with the hot temperatures of Sardinia, the situation will be solved, but in next weeks we will continue to analyse the evolution of the situation and we will inform you. Best regards, Massimiliano Petri and Antonio Pratelli

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CFP: Special Issue "Deep Learning for the Internet of Things" with MDPI Electronics
by Computational Science Mailing List 24 Mar '20

24 Mar '20

[Apologies for Duplicate Emails] Please consider submitting your manuscripts to the special issue on "Deep Learning for the Internet of Things" with MDPI Electronics The Special Issue Theme: The recent advancements in artificial intelligence; machine learning; and, more importantly, deep learning, with its many variations of algorithms and platforms, have radically transformed conventional software applications into a set of smart and connected components with the capability of data-driven decision-making; intelligent data sensing and filtering; proactive and collaborative integration of software and hardware devices; and, more importantly, the ability to capture tons of useful interaction data. Machine and deep learning-based components are becoming the backbone of modern systems such as cyber-physical systems (CPS) and Internet of Things (IoT), where intelligent integrations and collaborations of smart devices along with their outstanding data collection capabilities make them a perfect application domain for such sophisticated learning algorithms. The beauty of smart and connected devices governed by software utilities has already been demonstrated in several application domains such as healthcare, agriculture and farming, manufacturing, smart buildings, transportation, energy, and environmental surveillance monitoring systems. While these IoT-based systems can capture a good amount of data, the usage of these valuable and hard-to-produce data are not being fully utilized. Deep learning enables one to explore these data in further detail and capturing the hidden relationships that may exist among their key factors and parameters, thus providing further insight into the underlying application domains. Furthermore, deep learning algorithms are also capable of addressing challenging problems that are natural in IoT but remain unsolved in systems such as real time optimization problems, modeling non-linear characteristics of IoT devices and components, and several instances of prediction and classification problems. This Special Issue aims to foster deep learning-based modeling, solutions, and approaches to problems in Internet of Things systems. It seeks to explore deep learning algorithms, including generative adversarial models, attention-based networks, deep reinforcement learning, and recurrent deep neural networks, in capturing features and modeling the behavior of the involved software and hardware components. Topics of Interest: Academic researchers and industrial practitioners are invited to contribute their valuable research and experiences to state-of-the-art of deep learning-based approaches to modeling Internet of Things and associated problems. Topics of interest include but are not limited to the following applications of deep learning techniques to - Modeling IoT systems using deep learning; - Generative adversarial networks (GANS) in IoT and CPS; - Long short-term memory (LSTM) modeling of IoT time series data; - Attention-based approaches to capture significant features in IoT; - Deep learning-based modeling and experience in IoT-based applications such as smart building, healthcare, agriculture, manufacturing, left-driving cars, and cyber security; - Deep reinforcement learning for modeling decision making and uncertainty in IoT. For more information regarding this special issue, please visit the following link: https://www.mdpi.com/journal/electronics/special_issues/Deep_Learning_IoT Sincerely, Akbar Namin Guest Editor

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Ada-Europe Int'l Conference 2020 (AEiC 2020) cancelled!
by Computational Science Mailing List 21 Mar '20

21 Mar '20

----------------------------------------------------------------------- Notice of CANCELLATION 25th Ada-Europe International Conference on Reliable Software Technologies (AEiC 2020) www.ada-europe.org/conference2020 (was planned to be held 8-12 June 2020, Santander, Spain) #AdaEurope #AEiC2020 #AdaProgramming #ConferenceCancelled ----------------------------------------------------------------------- Saturday, 21 March 2020 The containment measures put in place on a world scale against the COVID-19 pandemic, which is affecting us all so severely, have taken precedence in everybody's personal and professional life. The consequent regulations issued by national governments and public health authorities in the regard of public gatherings, oblige us to cancel the Ada-Europe International Conference 2020 (AEiC 2020), scheduled for 8-12 June 2020, in Santander, Spain. Consequent to that obligation, the organizing committee and its principal sponsor Ada-Europe have made a number of decisions, which we wish to share with authors, sponsors, participants and any other interested parties. In regard to the calendar of events promoted by Ada-Europe: - Santander, Spain, will be the venue of the next Ada-Europe International Conference on Reliable Software Technologies in June 2021. - The venue originally earmarked for the 2021 edition of the AEiC, Ghent, Belgium, will be the prime candidate to host the 2022 edition of the conference. - Selected elements of the technical program of the 2020 conference program will be considered for presentation at an Ada event co-organized with the International Real-Time Ada Workshop (IRTAW 2020), now tentatively postponed to late October 2020, near Valencia, Spain. The details of that event will be announced in due course, contingent on the lifting of current sanitary restrictions. In regard to the elements of the 2020 conference program: - The processing of the Journal-track submissions continues seamlessly, with a view to ensuring prompt open-access publication to those that gain acceptance. The authors of the accepted papers will be invited to present their work at the 2021 conference. - The authors of the Industrial Presentations that are accepted after review will be invited to forward their work to the Ada User Journal for immediate publication. - The call for Work-in-Progress submissions is cancelled. The prospective authors are invited to forward their work to the Ada User Journal for consideration. We express our heartfelt friendship to all members of our community and their families in these difficult times, and look forward to the restoration of a safe normality. See you all soon! The Ada-Europe Board -----------------------------------------------------------------------

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E-courses on Computer vision, Machine Learning, Autonomous Systems, Image/Video Processing/Analysis, Human-Centered Computing
by Computational Science Mailing List 20 Mar '20

20 Mar '20

Dear Colleague/Professor, this message is sent to you, as several Universities switch to tele-education, in reaction to COVID-19 pandemic. As a result of my very long University teaching career, complemented by rich dissemination activities in many European funded R&D projects, we have developed a long list of educational material (100+ 1-hour lecture ppts, more under development) and student assessment tools that allow tele-education of one or more of the following senior undergraduate/MSc/PhD full-semester courses: 1) Computer Vision 2) Machine Learning 3) Autonomous Systems 4) Image Processing and Analysis 5) Video Processing and Analysis 6) Human-Centered Computing 7) Social Media Analysis. As an example, the Computer Vision course lecture list is attached (final lecture list from parts A-E can be configured, depending on University rules/priorities). The lecture list of the rest of the courses can be sent upon request. A multitude of other courses can be devised, matching special education needs of any University. Any of these courses can be delivered upon request in various formats (e.g., intensive e-short course, regular e-course with weekly lectures) using tele-education tools (typically Skype for Business) to any audience that has appropriate background (typically senior undergraduate/MSc/PhD students of ECE/CS/EE departments, or other Science/Engineering departments). Educational material can also be delivered to be used by other Professors, upon request Sample educational material can be sent upon request. A lecture example can be found in: http://icarus.csd.auth.gr/wp-content/uploads/2019/12/Fast-convolution-algor… Sincerely yours I. Pitas Lecturer: Prof. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) received the Diploma and PhD degree in Electrical Engineering, both from the Aristotle University of Thessaloniki, Greece. Since 1994, he has been a Professor at the Department of Informatics of the same University. He served as a Visiting Professor at several Universities. His current interests are in the areas of image/video processing, machine learning, computer vision, intelligent digital media, human centered interfaces, affective computing, 3D imaging and biomedical imaging. He has published over 860 papers, contributed in 44 books in his areas of interest and edited or (co-)authored another 11 books. He has also been member of the program committee of many scientific conferences and workshops. In the past he served as Associate Editor or co-Editor of 9 international journals and General or Technical Chair of 4 international conferences. He participated in 69 R&D projects, primarily funded by the European Union and is/was principal investigator/researcher in 41 such projects. He has 30500+ citations to his work and h-index 81+ (Google Scholar). Prof. Pitas leads the big European H2020 R&D project MULTIDRONE: https://multidrone.eu/. He is chair of the IEEE Autonomaous Systems Initiative https://ieeeasi.signalprocessingsociety.org/ https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=en Computer vision lecture list Part A Mathematical foundations of computer vision Mathematical analysis fundamentals Linear algebra fundamentals Geometry fundamentals Part B Image/video acquisition and analysis Introduction to computer vision Digital images and videos Image acquisition Color theory Image/video perception Image registration Edge detection Region segmentation Texture description Image topology 2D shape description and recognition Motion estimation Object detection Object tracking Part C 3D Computer Vision Camera geometry Stereo and Multiview imaging Structure from Motion 3D object Localization and Mapping Semantic 3D world mapping 3D object localization Multiview object detection and tracking Object pose estimation Part D 3D Imaging 3D (volumetric) image processing 3D image geometry and topology 3D image segmentation 3D shape analysis Part E Applications Autonomous systems perception (cars/drones) Human centered computing (face detection, recognition, facial expression recognition, activity recognition) Medical imaging (CT/MRI/X-ray/ultrasonic image/volume analysis, medical image registration)

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CFP: Resilience@Euro-Par 2020 - Papers due May 8
by Computational Science Mailing List 19 Mar '20

19 Mar '20

We apologize if you receive multiple copies of this call for papers. -------------------------------------------------------------------------------- 13th Workshop on Resiliency in High Performance Computing (Resilience) in Clusters, Clouds, and Grids <https://www.csm.ornl.gov/srt/conferences/Resilience/2020> in conjunction with the 26th International European Conference on Parallel and Distributed Computing (Euro-Par), Warsaw, Poland August 24 - 28, 2020 <http://2020.euro-par.org> Overview: Resilience is a critical challenge as high performance computing (HPC) systems continue to increase component counts, individual component reliability decreases (such as due to shrinking process technology and near-threshold voltage (NTV) operation), hardware complexity increases (such as due to heterogeneous computing) and software complexity increases (such as due to complex data- and workflows, real-time requirements and integration of artificial intelligence (AI) technologies with traditional applications). Correctness and execution efficiency, in spite of faults, errors, and failures, is essential to ensure the success of the HPC systems, cluster computing environments, Grid computing infrastructures, and Cloud computing services. The impact of faults, errors, and failures in such HPC systems can range from financial losses due to system downtime (sometimes several tens-of-thousands of Dollars per lost system-hour), to financial losses due to unnecessary overprovision (acquisition and operating costs), to financial losses and legal liabilities due to erroneous or delayed output. The emergence of AI technology opens up new possibilities, but also new problems. Using AI technology for operational intelligence that enables resilience in HPC systems and centers is a complex control problem, while designing resilient AI technology for HPC applications is a difficult algorithmic problem. Resilience for HPC systems encompasses a wide spectrum of fundamental and applied research and development, including theoretical foundations, error/failure and anomaly detection, monitoring and control, end-to-end data integrity, enabling infrastructure, and resilient algorithms. This workshop brings together experts in the community to further research and development in HPC resilience and to facilitate exchanges across the computational paradigms of extreme-scale HPC, cluster computing, Grid computing, and Cloud computing. Submission Guidelines: Authors are invited to submit papers electronically in English in PDF format. Submitted manuscripts should be structured as technical papers and BETWEEN 10 AND 12 PAGES, including figures, tables and references, using Springer's Lecture Notes in Computer Science (LNCS) format at <http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0>. Papers with less than 10 or more than 12 pages will not be accepted due to publisher guidelines. Submissions should include abstract, key words and the e-mail address of the corresponding author. Papers not conforming to these guidelines may be returned without review. All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, significance, quality of presentation, and interest and relevance to the conference attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date or not appropriately structured may also not be considered. The proceedings will be published in Springer's LNCS as post-conference proceedings. At least one author of an accepted paper must register for and attend the workshop for inclusion in the proceedings. Authors may contact the workshop program chairs for more information. Important websites: - Resilience 2020 Website: <https://www.csm.ornl.gov/srt/conferences/Resilience/2020> - Euro-Par 2020 website: <http://2020.euro-par.org> Topics of interest include, but are not limited to: - Theoretical foundations for resilience: - Metrics and measurement - Statistics and optimization - Simulation and emulation - Formal methods - Efficiency modeling and uncertainty quantification - Experience reports - Error/failure/anomaly detection and reliability/dependability modeling: - Statistical analyses - Machine learning and artificial intelligence - Digital twins - Data collection and aggregation - Information visualization - Monitoring and control for resilience: - Center, system and application monitoring and control - Reliability, availability, serviceability and performability - Tunable fidelity and quality of service - Automated response and recovery - Operational intelligence to enable resilience - End-to-end integrity: - Fault tolerant design of centers, systems and applications - Forward migration and verification - Degraded operation - Error propagation, failure cascades, and error/failure containment - Testing and evaluation, including fault/error/failure injection - Enabling infrastructure for resilience: - Reliability, availability, serviceability systems - System software and middleware - Resilience extensions for programming models - Tools and frameworks - Support for resilience in heterogeneous architectures - Resilient algorithms: - Algorithmic detection and correction - Resilient solvers and algorithm-based fault tolerance - Fault tolerant numerical methods - Robust iterative algorithms - Resilient artificial intelligence Important Dates: - Workshop papers due: May 8, 2020 - Workshop author notification: June 30, 2020 - Workshop author registration: TBA - Workshop paper (for informal workshop proceedings): July 10, 2020 - Workshop date: August 24 or 25, 2020 - Workshop camera-ready papers: September 11, 2020 (after the conference) General Co-Chairs: - Stephen L. Scott Tennessee Tech University, USA scottsl(a)ornl.gov - Christian Engelmann Oak Ridge National Laboratory , USA engelmannc(a)ornl.gov Program Co-Chairs: - Ferrol Aderholdt Middle Tennessee State University, USA ferrol.aderholdt(a)mtsu.edu - Thomas Naughton Oak Ridge National Laboratory , USA naughtont(a)ornl.gov Workshop Chair Emeritus - Chokchai (Box) Leangsuksun Louisiana Tech University, USA box(a)latech.edu _________________________________________________________________________ Thomas Naughton naughtont(a)ornl.gov Research Associate (865) 576-4184

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CfPapers: European Dependable Computing Conference - EDCC 2020
by Computational Science Mailing List 19 Mar '20

19 Mar '20

***Submission deadline extension to April 8th (abstract) and April 15th (full paper)*** The 16th European Dependable Computing Conference - EDCC 2020 September 7-10, 2020, Munich, Germany Call for Papers The European Dependable Computing Conference is a leading venue for presenting and discussing the latest research, industrial practice and innovations in dependable and secure computing. The European Dependable Computing Conference is a unique forum for researchers and practitioners to present and discuss their latest research results on theory, techniques, systems, and tools for the design, validation, operation and evaluation of dependable and secure computing systems. The conference will cover a broad range of topics related to dependability and security, which includes, but is not limited to: * Hardware and software architectures of dependable systems; * Model-driven and formal engineering approaches; * Fault-tolerant networks & ultra-reliable low-latency communication; * Dependability modelling and tools; * Verification and validation methods; * Development of safety and security-critical systems; * Dependability and security of o critical infrastructures, e.g. smart energy grids, intelligent transportation systems, smart cities; o cyber-physical systems and (industrial) IoT; o cloud, fog, and edge computing systems; o data analytics applications & systems based on machine learning and artificial intelligence; o databases and distributed ledgers (incl. block chains); o artificial intelligence-based systems and components * Data protection and data privacy The conference is inviting submissions to its different tracks in the following categories: -Regular papers (up to 8 pages) solicited on theory, techniques, systems, and tools for the design, validation, operation and evaluation of dependable and secure computing systems, covering any fault model, from traditional hardware and software faults to accidental and malicious human interactions. -Practical experience reports (up to 6 pages) dedicated to dependability in practice: industrial applications, experience in introducing dependability in industry, use of new or mature dependability approaches to new challenging problems or domains, etc. -Short papers (3-4 pages) describing preliminary research work (position papers) or a prototype/tool description, outlining the design or implementation of a software tool, or the prototyping of an operational system. The papers submitted to the conference should present an original contribution and formatted according to IEEE style: https://www.ieee.org/conferences/publishing/templates.html. All submissions must be made electronically through the EasyChair submission web page, and should clearly indicate in which category the paper is being submitted. Detailed indications about the paper format are provided in the paper submission page: http://edcc.dependability.org/papersubmission.html Best Paper Award Submissions will be judged on originality, significance, correctness and impact. Three distinguished papers will be selected among accepted papers and presented in a dedicated session of the conference program. Full research papers and practical experience reports are eligible for the distinction. Important Dates: Abstract Submission: (March 17, 2020) - new: April 8, 2020 Full Paper Submission: (March 24, 2020) - new: April 15, 2020 Author Notification: (May 25, 2020) - new: June 1, 2020 Camera-ready Paper: June 22, 2020 General chairs: Michael Paulitsch, Intel Mario Trapp, Fraunhofer Program Committee chair: Elena Troubitsyna, KTH Sweden Publicity chair: Alexander Romanovsky, Newcastle University Publication chair: Miguel Pardal, Universidade de Lisboa Students Forum chair: Marcello Cinque, Frederico II University of Naples For more information, visit: http://edcc.dependability.org/

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Computational and Applied Statistics at ICCSA 2020 - special extended deadline
by Computational Science Mailing List 17 Mar '20

17 Mar '20

Dear Colleague, I hope you are well, beyond the hardships that everyone, in every part of the world, is experiencing. Taking into account the exceptional situation that the whole world is going through, the dates related to submission and decision-making on articles submitted to the 7th edition of the Computational and Applied Statistics (CAS2020) (https://cas2020.webnode.com/) workshop have been changed. The new deadline for paper submission is April 26, 2020. *********************************************************************** ****************** APOLOGIES FOR MULTIPLE COPIES RECEIVED *************** *********************************************************************** ********************* CAS 2020 CALL FOR PAPERS ************************** ********************* NEW deadline: April 26, 2020 ******************** Computational and Applied Statistics (CAS 2020<https://cas2020.webnode.com/>) Workshop of the 20th International Conference on Computational Science and Applications (ICCSA 2020, http://www.iccsa.org/) will be held on July 1 - 4, 2020 in Cagliari, Italy. TOPICS ====== The aim of CAS workshop is to bring together scientists working in computational statistics, scientific computation and applications in all areas of sciences, engineering, industry, economics, life sciences and social sciences. Topics of interest include (but are not limited to): * Computational Statistics: new issues in the design of computational algorithms for implementing statistical methods, development in R, etc * Applications: statistical case study in all areas of sciences, engineering and industry, including economics, medicine, biology, earth sciences and social sciences. IMPORTANT DATES (NEW) ====================== April 26, 2020: Deadline for abstract and paper submission to the CAS Workshop. May 24, 2020: Notification of Acceptance June 15, 2020: Early-bird Registration ends June 15, 2020: Submission deadline for the final version of the Proceeding Papers July 1-4, 2020: ICCSA 2020 Conference. PROCEEDINGS ============ The proceedings of the CAS 2020 Workshop will appear in the Springer-Verlag, Lecture Notes in Computer Science (LNCS) series. The paper must be camera-ready, between 10 and 16 pages long and formatted according to the LNCS rules SUBMISSION DETAILS ================== All accepted papers will be included in the Springer Lecture Notes in Computer Science (LNCS, http://www.springer.com/gp/computer-science/lncs ) series and indexed by Scopus, EI Engineering Index, Thomson Reuters Conference Proceedings Citation Index (included in ISI Web of Science), and several other indexing services. The papers will contain linked references, XML versions and citable DOI numbers. Submitted papers will be subject to stringent peer review by at least three experts and carefully evaluated based on originality, significance, technical soundness, and clarity of exposition. The authors can submit abstracts and papers to your session accessing the electronic submission site: http://ess.iccsa.org/ You can find the instructions to prepare and submit papers on the web site: http://www.iccsa.org/instructions-for-authors If you are not registered, you must to register before the submission. From the personal page the author is able to submit first an abstract (phase 1), then a full paper (phase 2), selecting the session from the list of sessions in the submission forms. The author will be able to update the paper until the submission deadline. ORGANIZER =========== * Ana Cristina Braga (acb(a)dps.uminho.pt<mailto:acb@dps.uminho.pt>), Dep. of Production and Systems (University of Minho), Algoritmi Research Centre (University of Minho), Portugal. If you have some doubts or problems, do not hesitate to contact the organizer. Best regards, Ana Cristina Braga (CAS 2020 organizer)

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Call For Papers - IEEE International Conference on High Performance Computing, Data, and Analytics 2020
by Computational Science Mailing List 11 Mar '20

11 Mar '20

********************************************************************** We apologize if you received multiple copies of this Call for Papers Please feel free to distribute it to those who might be interested ********************************************************************** HiPC 2020 CALL FOR PAPERS ********************************************************************* 27th IEEE International Conference on High Performance Computing, Data, and Analytics 16--19 December, 2020 in Pune India https://hipc.org/ PROGRAM CHAIRS HPC: Bora Uçar, CNRS and ENS Lyon, France Data Science: Gagan Agrawal, Augusta University, USA PROGRAM VICE-CHAIRS HPC TRACKS Algorithms: Kamesh Madduri, Pennsylvania State University, USA Applications: Yogesh Simmhan, Indian Institute of Science, India Architecture: Biswabandan Panda, IIT Kanpur, India System Software: Marco Aldinucci, University of Torino, Italy DATA SCIENCE TRACKS Scalable Algorithms and Analytics: Bingsheng He, National University of Singapore Scalable Systems and Software: Suren Byna, Lawrence Berkeley National Laboratory, USA HiPC 2020 Call For Papers HiPC 2020 will be the 27th edition of the IEEE International Conference on High Performance Computing, Data, Analytics and Data Science. HiPC serves as a forum to present current work by researchers from around the world as well as highlight activities in Asia in the areas of high performance computing and data science. The meeting focuses on all aspects of high performance computing systems, and data science and analytics, and their scientific, engineering, and commercial applications. Authors are invited to submit original unpublished research manuscripts that demonstrate current research in all areas of high performance computing, and data science and analytics, covering all traditional areas and emerging topics including from machine learning, big data analytics and blockchain. Each submission should be submitted to one of the tracks listed under the two broad themes of High Performance Computing and Data Science. Up to two best paper awards will be given for outstanding contributed papers. HIGH PERFORMANCE COMPUTING Algorithms. This track invites papers that describe original research on developing new parallel and distributed computing algorithms, and related advances. Examples of topics that are of interest include (but not limited to): * New parallel and distributed algorithms and design techniques; * Advances in enhancing algorithmic properties or providing guarantees (e.g., fault tolerance, resilience, concurrency, data locality, communication-avoiding); * Algorithmic techniques for resource allocation and optimization (e.g., scheduling, load balancing, resource management); * Provably efficient parallel and distributed algorithms for advanced scientific computing and irregular applications (e.g., numerical linear algebra, graph algorithms, computational biology); * Classical and emerging computation models (e.g., parallel/distributed models, quantum computing, neuromorphic and other bioinspired models). Architecture. This track invites papers that describe original research on the design and evaluation of high performance computing architectures, and related advances. Examples of topics of interest include (but not limited to): * High performance processing architectures (e.g., reconfigurable, system-on-chip, manycores, vector processors); * Networks for high performance computing platforms (e.g., interconnect topologies, network-on-chip); * Memory, cache and storage architectures (e.g., 3D, photonic, Processing-In-Memory, NVRAM, burst buffers, parallel I/O); * Approaches to improve architectural properties (e.g., energy/power efficiency, reconfigurable, resilience/fault tolerance, security/privacy); * Emerging computational architectures (e.g., quantum computing, neuromorphic and other bioinspired architectures). Applications. This track invites papers that describe original research on the design and implementation of scalable and high performance applications for execution on parallel, distributed and accelerated platforms, and related advances. Examples of topics of interest include (but not limited to): * Shared and distributed memory parallel applications (e.g., scientific computing, simulation and visualization applications, graph and irregular applications, data-intensive applications, science/engineering/industry applications, emerging applications in IoT and life sciences, etc.); * Methods, algorithms and optimizations for scaling applications on peta- and exa-scale platforms (e.g., co-design of hardware and software, heterogeneous and hybrid programming); * Hardware acceleration of parallel applications (e.g., GPUs, FPGA, vector processors, manycore); * Application benchmarks and workloads for parallel and distributed platforms. Systems Software. This track invites papers that describe original research on the design, implementation and evaluation of systems software for high performance computing platforms, and related advances. Examples of topics of interest include (but not limited to): * Scalable systems and software architectures for high performance computing (e.g., middleware, operating systems, I/O services); * Techniques to enhance parallel performance (e.g., compiler/runtime optimization, learning from application traces, profiling); * Techniques to enhance parallel application development and productivity (e.g., Domain-Specific Languages, programming environments, performance/correctness checking and debugging); * Techniques to deal with uncertainties, hardware/software resilience, and fault tolerance; * Software for cloud, data center, and exascale platforms (e.g., middleware tools, schedulers, resource allocation, data migration, load balancing); * Software and programming paradigms for heterogeneous platforms (e.g., libraries for CPU/GPU, multi-GPU clusters, and other accelerator platforms). DATA SCIENCE Scalable Algorithms and Analytics. This track invites papers that describe original research on developing scalable algorithms for data analysis at scale, and related advances. Examples of topics of interest include (but not limited to): * New scalable algorithms for fundamental data analysis tasks (supervised, unsupervised learning, and pattern discovery); * Scalable algorithms that are designed to address the characteristics of different data sources and settings (e.g., graphs, social networks, sequences, data streams); * Scalable algorithms and techniques to reduce complexity of large-scale data (e.g., streaming, sublinear data structures, summarization, compressive analytics); * Scalable algorithms that are designed to address requirements in different data-driven application domains (e.g., life sciences, business, agriculture); * Scalable algorithms that ensure the transparency and fairness of the analysis; * Case studies, experimental studies and benchmarks for scalable algorithms and analytics; * Scaling and accelerating machine learning, deep learning and computer vision applications. Scalable Systems and Software. This track invites papers that describe original research on developing scalable systems and software for handling data at scale, and related advances. Examples of topics of interest include (but not limited to): * Design of scalable system software to support various applications (e.g., recommendation systems, web search, crowdsourcing applications, streaming applications) * Scalable system software for various architectures (e.g., OpenPower, GPUs, FPGAs). * Architectures and systems software to support various operations in large data frameworks (e.g., storage, retrieval, automated workflows, data organization, visualization, visual analytics, human-in-the-loop); * Systems software for distributed data frameworks (e.g., distributed file system, virtualization, cloud services, resource optimization, scheduling); * Standards and protocols for enhancing various aspects of data analytics (e.g., open data standards, privacy preserving and secure schemes). IMPORTANT DATES (2020) Abstract Submissions : June 8, 2020 Paper Submissions : June 15, 2020 Reviews for Rebuttals: August 4, 2020 Initial Submission Decisions: August 21, 2020 Revisions Due: September 22, 2020 Author Notifications: October 2, 2020 Camera Ready: October 16, 2020 Manuscript Guidelines Submitted manuscripts should be structured as technical papers and may not exceed ten (10) single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (IEEE conference style), including figures, tables, and references. See style templates for details: •LaTex Package (ZIP) – will be linked •Word Package (ZIP) – will be linked Electronic submissions must be in the form of a readable PDF file. All manuscripts will be reviewed by the Program Committee and evaluated on originality, relevance of the problem to the conference theme, technical strength, rigor in analysis, quality of results, and organization and clarity of presentation of the paper. Authors are highly encouraged to list the key contributions of their paper, for example in a separate paragraph in the introduction of the paper. The review process is “single-blind” (i.e., authors can list their names on the paper), and that there will be a rebuttal period. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair at the email address below for further information or clarification. A published proceedings will be available at the conference. At least one author of each paper must be registered for the conference in order for the paper to be published in the proceedings. Presentation of an accepted paper at the conference in person is a requirement of publication. Any paper that is not presented at the conference will not be included in IEEE Xplore. Authors of selected high quality papers in HiPC 2020 will be invited to submit extended versions of their papers for possible publication in a special issue of Journal of Parallel and Distributed Computing. Submit your paper: https://easychair.org/conferences/?conf=hipc2020. __________________________________________________________________________ HiPC 2020 is co-sponsored by * IEEE Computer Society Technical Committee on Parallel Processing (TCPP) * HiPC Education Trust, India In cooperation with: * ACM Special Interest Group on Algorithms and Computation Theory (SIGACT); * ACM Special Interest Group on Computer Architecture (SIGARCH); * IFIP Working Group on Concurrent Systems; * Manufacturers' Association for Information Technology (MAIT); * National Association of Software and Service Companies (NASSCOM).

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CfP for ENGAGE 2020 at CGI 2020 in Geneva, 23rd June 2020
by Computational Science Mailing List 05 Mar '20

05 Mar '20

*“EMPOWERING NOVEL GEOMETRIC ALGEBRA FOR GRAPHICS & ENGINEERING WORKSHOP”* *Call for papers *http://www.cgs-network.org/cgi20/?page_id=1817* * Since ACM SIGGRAPH2001 and 2003 conferences, there has been limited attention on the benefits of employing W. K. Clifford’s geometric algebras (GA), quaternions and octonions in solving computer graphics and vision problems. In the meantime, the geometric algebra community focused on GA applications and greatly advanced it as an adequate and viable computing technology. The Workshops at CGI’2016 on “Geometric Algebra in Computer Science and Engineering” and at CGI’2017, 2018, 2019 on “Empowering Novel Geometric Algebra for Graphics & Engineering” began to bridge that gap. Under the auspices of *CGI’20 (22-25 June), ENGAGE (Empowering Novel Geometric Algebra for Graphics & Engineering) on June 23rd in Geneva, Switzerland*, will again engage in a multi-disciplinary approach from mathematics, applied to computer graphics, computer vision and general computer science fields where GA has strong potential to answer existing mathematical problems. GA is in a particularly well suited to allow cross-disciplinary solutions in software engineering as it provides an intuitive and insightful common denominator across mathematical disciplines that have often advanced application specific. Understanding GA enables us to relate distinct, seemingly incompatible paths by providing a common mathematical base. We invite original contributors in the form of full and short papers, which advance the state-of-the-art of the application of geometric algebra as well as of its computing technology in topics related, *topics related, but not limited to:* * Feature Detection & Data Analysis * LIDAR and Point Cloud Algorithms * Scientific & Information Visualization * Computer graphics rendering * Computer animation and video processing * Holographic optics & Holographic maps * Geographic Information Systems * Soundscape & Electromagnetic landscape Modelling * Augmented and Virtual Reality * Application of Clifford Fourier transforms and Clifford wavelets to 2D and 3D images, including color images * Higher dimensional geometric algebras * GA Computing and Quantum Computing * GA hardware implementations * GA for Artificial Intelligence * GA for ubiquitous information processing * GA for Big Data processing & visualization * Other engineering/applied science applications using GA, like robotics applications, graph computing etc. Authors should submit short and full papers directly to the CGI conference LNCS proceedings, by April 7th deadline. All authors of accepted ENGAGE related papers will be invited either to an oral or poster presentation. For Springer LNCS CGI proceedings author instructions please refer to http://www.cgs-network.org/cgi20/?page_id=1359. Post workshop extended and more advanced ENGAGE papers (15 pages plus) can be published in the topical collection “Geometric Algebra for Computing, Graphics and Engineering” of the Journal Advances in Applied Clifford Algebras (AACA), published by Birkhauser, and should have been orally presented at the conference. See the “Instruction for Authors” at AACA. Online paper submission at https://www.editorialmanager.com/aaca/Default.aspx has deadline of October 31, 2020. At the time of submission, authors must indicate the topical collection “ENGAGE 2020-Geometric Algebra for Computing, Graphics and Engineering”. *IMPORTANT DATES* *All participants:* Abstract submission (ca. 200 words): March 31, 2020 to hitzer(a)icu.ac.jp <mailto:hitzer@icu.ac.jp> *Full and Short ENGAGE Papers:* (to appear in Springer LNCS proceedings, full 8-12 pages and short 5-7 pages) * Paper submission: April 7, 2020 * Paper notification: April 25, 2020 * Camera ready papers due: May 01, 2020 *Full AACA Papers:* (15 pages+, Latex using birkjour.cls) * Paper submission: October 31, 2020 For *further information*, please contact one of the ENGAGE Workshop organizers: * Andreas Aristidou (Cyprus) * Werner Benger♯ (w.benger(a)ahm.co.at <mailto:w.benger@ahm.co.at>) (Innsbruck) * Dietmar Hildenbrand♯ (dietmar.hildenbrand(a)gmail.com <mailto:dietmar.hildenbrand@gmail.com>) (Darmstadt) * Eckhard Hitzer♯ (hitzer(a)icu.ac.jp <mailto:hitzer@icu.ac.jp>) (Tokyo) * Joan Lasenby (Cambridge) * Kit Ian Kou (Macao) * Vincent Nozick (Paris) * George Papagiannakis♯ (papagian(a)ics.forth.gr <mailto:papagian@ics.forth.gr>) (Crete) * G. Stacey Staples (Edwardsville) * Kanta Tachibana (Tokyo) * Lars Tingelstad (Trondheim) * Peter Vasik (Brno) * Yu Zhaoyuan (Nanjing) (♯ = local workshop organizers) -- The Top Ten Scientific Problems with Biological and Chemical Evolution http://www.discovery.org/a/24041/ Male and female he created them (... question of gender theory in education): http://www.educatio.va/content/dam/cec/Documenti/19_0997_INGLESE.pdf *-----------------------------------------------------------------* Eckhard Hitzer, Dr. rer. nat. of Theoretical Physics, International Christian University Osawa 3-10-2, Mitaka-shi 181-8585 Tokyo, Japan Tel: +81-(0)422-33-3724, Email: hitzer(a)icu.ac.jp SUDem2020 (22.02.2020): https://sudworkshops.wordpress.com/ Japanese Bible: https://www.bible.com/ja/bible/83/mat.1.jlb

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WHPC@ISC'20 Call for posters- Deadline extended
by fouzhan.hosseini＠nag.co.uk 05 Mar '20

05 Mar '20

Call for early/mid career posters on HPC topics for the 12th International Women in HPC Workshop ================================================================= 12th International Women in HPC workshop Thursday June 25th 2020 — Frankfurt, Germany Call for posters and participation https://womeninhpc.org/events/isc-2020/workshop ================================================================= The twelfth international Women in HPC workshop will discuss methods to improve diversity and provide early career women with the opportunity to develop their professional skills and profile. The workshop will include: * Being part of the solution: instructions for advocates and allies * Putting in place a framework to help women take grow their careers * Explore pathways to leadership positions * Posters and lightning talks by women working in HPC * Short talks on topics including: dealing with sponsorship versus mentorship, the case for reverse mentorship to achieve diversity, addressing toxic behaviour at work, career advancement strategies, and 3 minute networking solution. Call for posters: Open to All! /*Deadline for submissions: Extended to*//**//*16th March 2020 AOE*/ As part of the workshop, we invite submissions from women in industry and academia to present their work as a poster. Submissions are invited on all topics relating to HPC from users and developers. All abstracts should emphasize the computational aspects of the work, such as the facilities used, the challenges that HPC can help address and any remaining challenges etc. */Exclusive to WHPC at ISC20: Successful authors will have the opportunity to present their posters in the main ISC20 conference poster session./* For full details please see: https://womeninhpc.org/events/isc-2020/workshop *Workshop Organising Committee* - Workshop Chair: Mozhgan Kabiri Chimeh (NVIDIA, UK) - Co-chair: Fouzhan Hosseini (Numerical Algorithms Group, UK) - Vice-chair: Elsa Gonsiorowski (Lawrence Livermore National Laboratory, USA) - Submissions Chair: Weronika Filinger (EPCC, University of Edinburgh, UK) - Submissions Co-Chair: Vitalina Morais (Mozambique Research and Education Network, Africa) - Mentoring Chair: Aiman Shaikh (Science and Technology Facilities Council, UK) - Invited Talks Chair: Rosa Filgueira (EPCC, University of Edinburgh, UK) - Publicity Chair: Cristin Merritt (Alces Flight, UK) - Website Chair: Caitlin Ross (Kitware, USA) /Dr Fouzhan Hosseini/ *HPC Application Analyst * *Tel:**+44 (0)161 250 3876* * * ** *Numerical Algorithms Group <https://www.nag.com>** * */Experts in numerical software and high performance computing services/* Disclaimer The Numerical Algorithms Group Ltd is a company registered in England and Wales with company number 1249803. The registered office is: Wilkinson House, Jordan Hill Road, Oxford OX2 8DR, United Kingdom. This e-mail has been scanned for all viruses and malware, and may have been automatically archived by Mimecast Ltd, an innovator in Software as a Service (SaaS) for business.

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[PSD 2020] PRIVACY IN STATISTICAL DATABASES, Springer LNCS, Arezzo, Italy, Sep. 23-25, 2020
by Joaquin Garcia-Alfaro 04 Mar '20

04 Mar '20

[apologies for cross-posting] PRIVACY IN STATISTICAL DATABASES 2020 (PSD 2020) ================================================ Arezzo, Italy, Sep. 23-25, 2020 http://unescoprivacychair.urv.cat/psd2020 Submission deadline: **MAY 24, 2020** 1. AIMS AND GOAL ----------------- Privacy in statistical databases is about finding trade-offs to the tension between the increasing societal and economical demand for accurate information and the legal and ethical obligation to protect the privacy of individuals and enterprises which are the respondents providing the statistical data. In the case of statistical databases, the motivation for respondent privacy is one of survival: statistical agencies or survey institutes cannot expect to collect accurate information from individual or corporate respondents unless these feel the privacy of their responses is guaranteed. Beyond respondent privacy, there are two additional privacy dimensions to be considered: privacy for the data owners (organizations owning or gathering the data, who would not like to share the data they have collected at great expense) and privacy for the users (those who submit queries to the database and would like their analyses to stay private). "Privacy in Statistical Databases 2020" (PSD 2020) is a conference sponsored and organized by the UNESCO Chair in Data Privacy (http://unescoprivacychair.urv.cat) with proceedings published by Springer-Verlag in Lecture Notes in Computer Science. The purpose of PSD 2020 is to attract world-wide, high-level research in statistical database privacy. PSD 2020 is a successor to - PSD 2018 (Valencia, Sep. 26-28, 2018, https://unescoprivacychair.urv.cat/psd2018/) - PSD 2016 (Dubrovnik, Sep. 14-16, 2016, https://unescoprivacychair.urv.cat/psd2016/) - PSD 2014 (Eivissa, Sep. 17-19, 2014, http://unescoprivacychair.urv.cat/psd2014/) - PSD 2012 (Palermo, Sep. 26-28, 2012, http://unescoprivacychair.urv.cat/psd2012) - PSD 2010 (Corfu, Sep. 22-24, 2010, http://unescoprivacychair.urv.cat/psd2010) - PSD 2008 (Istanbul, Sep. 24-26, 2008, http://unescoprivacychair.urv.cat/psd2008) - PSD 2006 (Rome, Dec. 13-15, 2006, http://crises-deim.urv.cat/psd2006) and PSD 2004 (Barcelona, June 9-11, 2004, http://crises-deim.urv.cat/psd2004) all with proceedings published by Springer in LNCS 11126, LNCS 9867, LNCS 8744, LNCS 7556, LNCS 6344, LNCS 5262, LNCS 4302 and LNCS 3050, respectively. Those nine PSD conferences follow a tradition of high-quality technical conferences on SDC which started with "Statistical Data Protection-SDP'98", held in Lisbon in 1998 and with proceedings published by OPOCE, and continued with the AMRADS project SDC Workshop, held in Luxemburg in 2001 and with proceedings published in Springer LNCS 2316. Like the aforementioned preceding conferences, PSD 2020 originates in Europe, but wishes to stay a worldwide event in database privacy and SDC. Thus, contributions and attendees from overseas are welcome. 2. ORGANIZATION --------------- PROGRAM COMMITTEE (More members to be confirmed soon) - Jane Bambauer (University of Arizona, USA) - Bettina Berendt (Katholieke Universiteit Leuven, Belgium) - Elisa Bertino (CERIAS, Purdue University, USA) - Aleksandra Bujnowska (EUROSTAT, European Union) - Jordi Castro (Universitat PolitËcnica de Catalunya) - Anne-Sophie Charest (UniversitÈ Laval, QuÈbec, Canada) - Chris Clifton (Purdue University, USA) - Graham Cormode (University of Warwick, UK) - Peter-Paul de Wolf (Statistics Netherlands) - Josep Domingo (Universitat Rovira i Virgili, Catalonia) - Joerg Drechsler (IAB, Germany) - Khaled El Emam (University of Ottawa, Canada) - Mark Elliot (Manchester University, UK) - SÈbastien Gambs (UniversitÈ du QuÈbec ‡ MontrÈal) - Sarah Giessing (Destatis, Germany) - Hiroaki Kikuchi (Meiji University, Japan) - Bradley Malin (Vanderbilt University, USA) - Laura McKenna (Census Bureau, USA) - Anna Monreale (Universit‡ di Pisa, Italy) - Krish Muralidhar (The University of Oklahoma, USA) - Anna Oganyan (National Center for Health Statistics, USA) - David Rebollo (Universitat Rovira i Virgili, Catalonia) - Jerry Reiter (Duke University, USA) - Yosef Rinott (Hebrew University, Israel) - Steven Ruggles (University of Minnesota, USA) - Nicolas Ruiz (OECD, European Union) - Pierangela Samarati (University of Milan, Italy) - David S·nchez (Universitat Rovira i Virgili, Catalonia) - Eric Schulte-Nordholt (Statistics Netherlands) - Natalie Shlomo (University of Manchester, UK) - Aleksandra Slavkovic (Penn State University, USA) - Jordi Soria-Comas (Catalan Data Protection Authority, Catalonia) - Tamir Tassa (The Open University, Israel) - Vicenc Torra (National University of Ireland-Maynooth, Ireland) - Lars Vilhuber (Cornell University, USA) PROGRAM CHAIR - Josep Domingo-Ferrer (UNESCO Chair in Data Privacy, Universitat Rovira i Virgili, Catalonia) GENERAL CHAIR - Krishnamurty Muralidhar (The University of Oklahoma, USA) ORGANIZATION COMMITTEE - Joaquin Garcia-Alfaro (Telecom SudParis, France) - Giulia Lombardi (The University of Oklahoma, Italy) - Jesus Manjon (Universitat Rovira i Virgili, Catalonia) - Romina Russo (Universitat Rovira i Virgili, Catalonia) 3. TOPICS OF INTEREST --------------------- Topics of interest include but are not limited to: - New anonymization methods for tabular data - New anonymization methods for microdata (including non-conventional microdata types such as trajectories, graphs, etc.) - Best anonymization practices for tabular data - Best anonymization practices for microdata - Co-utility for privacy preservation - Big data anonymization - Streaming data anonymization - Decentralized anonymization - Balancing data quality and data confidentiality in SDC - Differential privacy and other privacy models - SDC transparency issues - Onsite access centers - Remote access facilities - SDC software - Estimating disclosure risk in SDC - Record linkage methods - Real-life disclosure scenarios in EU-member states and abroad - Privacy preserving data mining (both cryptographic and non-cryptographic) - Private information retrieval - Privacy in web-based e-commerce - Privacy in healthcare - Privacy in official and corporate statistics - Other data anonymization issues 4. SUBMISSIONS -------------- Full papers containing either original technical contributions or high-quality surveys on the above topics or on related topics are sought. Camera-ready versions of accepted papers should be prepared using the LaTeX2estyle or the Word template of Springer Verlag Lecture Notes in ComputerScience. For LaTeX2e, a macro package llncs.zip and an example file typeinst.zip can be downloaded from https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…. For Microsoft Word, a template word.zip can be downloaded from the same page above. We encourage authors to use the above formats already for their submissions. LENGTH OF SUBMISSIONS. Using the above format with 11 point font, the paper should be at most 12 pages excluding bibliography and appendices, and at most 16 pages total. Committee members are not required to read appendices; the paper should be intelligible without them. Submissions not meeting these guidelines risk rejection without consideration of their merits. 5. PROCEEDINGS -------------- Among PSD 2020 accepted papers, a selection will be made based on quality and coverage and the selected papers will be published in the Lecture Notes in Computer Science (LNCS) series by Springer. This follows the tradition of the previous PSD conferences. The remaining accepted papers will be published in a USB with an ISBN. It is possible to submit a paper directly for the USB, which benefits from a later submission deadline (see USB-only dates below). The form of publication of an accepted paper will be clearly specified in the acceptance message. Both the LNCS volume and the CD will be *available at the conference*. 6. IMPORTANT DATES ------------------ Submission deadline: **MAY 24, 2020** Acceptance notification: June 26, 2020 Proceedings version due: July 5, 2020 USB-only submission deadline: July 5, 2020 USB-only acceptance notification: July 15, 2020 USB-only proceedings version due: July 22, 2020 Conference: Sep. 23-25, 2020 7. VENUE AND TRAVEL ------------------- The conference will take place at the San Francesco classroom annex of the 'Oklahoma University in Arezzo' facilities, located in the city of Arezzo. OU in Arezzo. San Francesco Classroom annex Piazza San Francesco, 18 Arezzo, Italy 52100 http://www.ou.edu/cis/education_abroad/programs/ou-in-arezzo Further venue, travel and accommodation information will be posted in due course at http://unescoprivacychair.urv.cat/psd2020 A number of travel grants are made available by the UNESCO Chair in Data Privacy, especially for authors and delegates from transition countries. Information on grants is posted in the conference web site. 8. REGISTRATION --------------- Registration information will be posted no later than June 2020 at http://unescoprivacychair.urv.cat/psd2020

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CfP VHPC'20: HPC Containers-Kubernetes
by Michael Alexander 02 Mar '20

02 Mar '20

==================================================================== CALL FOR PAPERS 15th Workshop on Virtualization in High-Performance Cloud Computing (VHPC 20) held in conjunction with the International Supercomputing Conference - High Performance, June 21-25, 2020, Frankfurt, Germany. (Springer LNCS Proceedings) ==================================================================== Date: June 25, 2020 Workshop URL: https://vhpc.org Rolling Abstract Registration (extended) Paper Submission Deadline: Apr 05th, 2020 Springer LNCS Call for Papers Containers and virtualization technologies constitute key enabling factors for flexible resource management in modern data centers, and particularly in cloud environments. Cloud providers need to manage complex infrastructures in a seamless fashion to support the highly dynamic and heterogeneous workloads and hosted applications customers deploy. Similarly, HPC environments have been increasingly adopting techniques that enable flexible management of vast computing and networking resources, close to marginal provisioning cost, which is unprecedented in the history of scientific and commercial computing. Most recently, Function as a Service (Faas) and Serverless computing, utilizing lightweight VMs-containers widens the spectrum of applications that can be deployed in a cloud environment, especially in an HPC context. Here, HPC-provided services become accessible to distributed workloads outside of large cluster environments. Various virtualization-containerization technologies contribute to the overall picture in different ways: machine virtualization, with its capability to enable consolidation of multiple underutilized servers with heterogeneous software and operating systems (OSes), and its capability to live-migrate a fully operating virtual machine (VM) with a very short downtime, enables novel and dynamic ways to manage physical servers; OS-level virtualization (i.e., containerization), with its capability to isolate multiple user-space environments and to allow for their coexistence within the same OS kernel, promises to provide many of the advantages of machine virtualization with high levels of responsiveness and performance; lastly, unikernels provide for many virtualization benefits with a minimized OS/library surface. I/O Virtualization in turn allows physical network interfaces to take traffic from multiple VMs or containers; network virtualization, with its capability to create logical network overlays that are independent of the underlying physical topology is furthermore enabling virtualization of HPC infrastructures. Publication Accepted papers will be published in a Springer LNCS proceedings volume. Topics of Interest The VHPC program committee solicits original, high-quality submissions related to virtualization across the entire software stack with a special focus on the intersection of HPC, containers-virtualization and the cloud. Major Topics: - HPC workload orchestration (Kubernetes) - Kubernetes HPC batch - HPC Container Environments Landscape - HW Heterogeneity - Container ecosystem (Docker alternatives) - Networking - Lightweight Virtualization - Unikernels / LibOS - State-of-the-art processor virtualization (RISC-V, EPI) - Containerizing HPC Stacks/Apps/Codes: Climate model containers each major topic encompassing design/architecture, management, performance management, modeling and configuration/tooling. Specifically, we invite papers that deal with the following topics: - HPC orchestration (Kubernetes) - Virtualizing Kubernetes for HPC - Deployment paradigms - Multitenancy - Serverless - Declerative data center integration - Network provisioning - Storage - OCI i.a. images - Isolation/security - HW Accelerators, including GPUs, FPGAs, AI, and others - State-of-practice/art, including transition to cloud - Frameworks, system software - Programming models, runtime systems, and APIs to facilitate cloud adoption - Edge use-cases - Application adaptation, success stories - Kubernetes Batch - Scheduling, job management - Execution paradigm - workflow - Data management - Deployment paradigm - Multi-cluster/scalability - Performance improvement - Workflow / execution paradigm - Podman: end-to-end Docker alternative container environment & use-cases - Creating, Running containers as non-root (rootless) - Running rootless containers with MPI - Container live migration - Running containers in restricted environments without setuid - Networking - Software defined networks and network virtualization - New virtualization NICs/Nitro alike ASICs for the data center? - Kubernetes SDN policy (Calico i.a.) - Kubernetes network provisioning (Flannel i.a.) - Lightweight Virtualization - Micro VMMs (Rust-VMM, Firecracker, solo5) - Xen - Nitro hypervisor (KVM) - RVirt - Cloud Hypervisor - Unikernels / LibOS - Performance, efficiency, utilization, security - Build procedure, application porting, re-use of existing components, and tooling - Monitoring, running, orchestrating, live cycle management - Deployment and operational costs - Architecture and platform ports, for instance - hypervisors, lightweight VMMs, bare-metal - Hardware virtualization and accelerators with Unikernels/LibOSes - Use cases and experiences, for instance: - edge services (e.g., vNFs, AI, IoT) - microservices - Stub and driver domains (disaggregation) - bare-metal (e.g., HPC) - HPC Storage in Virtualization - HPC container storage - Cloud-native storage - Hypervisors in storage virtualization - Processor Virtualization - RISC-V hypervisor extensions - RISC-V Hypervisor ports - EPI - Composable HPC microservices - Containerizing Scientific Codes - Building - Deploying - Securing - Storage - Monitoring - Use case for containerizing HPC codes: Climate model containers for portability, reproducibility, traceability, immutability, provenance, data & software preservation The Workshop on Virtualization in High-Performance Cloud Computing (VHPC) aims to bring together researchers and industrial practitioners facing the challenges posed by virtualization in order to foster discussion, collaboration, mutual exchange of knowledge and experience, enabling research to ultimately provide novel solutions for virtualized computing systems of tomorrow. The workshop will be one day in length, composed of 20 min paper presentations, each followed by 10 min discussion sections, plus lightning talks that are limited to 5 minutes. Presentations may be accompanied by interactive demonstrations. Important Dates Apr 5th, 2020 - Paper submission deadline (Springer LNCS) Apr 26th, 2020 - Acceptance notification June 25th, 2020 - Workshop Day July 10th, 2020 - Camera-ready version due Chair Michael Alexander (chair), BOKU, Vienna, Austria Anastassios Nanos (co-chair), Sunlight.io, UK Program committee Stergios Anastasiadis, University of Ioannina, Greece Paolo Bonzini, Redhat, Italy Jakob Blomer, CERN, Europe Eduardo César, Universidad Autonoma de Barcelona, Spain Taylor Childers, Argonne National Laboratory, USA Stephen Crago, USC ISI, USA Tommaso Cucinotta, St. Anna School of Advanced Studies, Italy François Diakhaté CEA DAM Ile de France, France Kyle Hale, Northwestern University, USA Brian Kocoloski, Washington University, USA Simon Kuenzer, NEC Laboratories Europe, Germany John Lange, University of Pittsburgh, USA Giuseppe Lettieri, University of Pisa, Italy Klaus Ma, Huawei Technologies, China Alberto Madonna, Swiss National Supercomputing Center, Switzerland Nikos Parlavantzas, IRISA, France Anup Patel, Western Digital, USA Kevin Pedretti, Sandia National Laboratories, USA Amer Qouneh, Western New England University, USA Carlos Reaño, Queen’s University Belfast, UK Adrian Reber, Redhat, Germany Riccardo Rocha, CERN, Europe Borja Sotomayor, University of Chicago, USA Jonathan Sparks, Cray, USA Kurt Tutschku, Blekinge Institute of Technology, Sweden John Walters, USC ISI, USA Yasuhiro Watashiba, Osaka University, Japan Chao-Tung Yang, Tunghai University, Taiwan Paper Submission-Publication Papers submitted to the workshop will be reviewed by at least two members of the program committee and external reviewers. Submissions should include abstract, keywords, the e-mail address of the corresponding author, and must not exceed 10 pages, including tables and figures at a main font size no smaller than 11 point. Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and attend the conference to present the work. Accepted papers will be published in a Springer LNCS volume. The format must be according to the Springer LNCS Style. Initial submissions are in PDF; authors of accepted papers will be requested to provide source files. Abstract, Paper Submission Link: edas[dot]info/newPaper.php?c=26973 Lightning Talks Lightning Talks are non-paper track, synoptical in nature and are strictly limited to 5 minutes. They can be used to gain early feedback on ongoing research, for demonstrations, to present research results, early research ideas, perspectives and positions of interest to the community. Submit abstract via the main submission link. General Information The workshop is one day in length and will be held in conjunction with the International Supercomputing Conference - High Performance (ISC) 2019, June 21-25, Frankfurt, Germany.

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IEEE ISORC 2020 Call for Posters and Demos
by Tommaso Cucinotta 28 Feb '20

28 Feb '20

*IEEE ISORC 2020 - Call for Posters and Demos <https://isorc.github.io/2020/>*/The 23rd IEEE International Symposium on Real-Time Distributed Computing/ Nashville, Tennessee, USA, May 19-21, 2020 *https://isorc.github.io/2020/* IEEE ISORC has become established as the leading event devoted to state-of-the-art research in the field of object/component/service-oriented real-time distributed computing (ORC) technology. ISORC has a special session dedicated to posters and demos, where the objective is to allow participants to show prototypes, tools, simulators, and systems, which demonstrate the applicability of real-time computing to different applications. This session will enable presenters to demonstrate their work and contact directly with potential users of their technology, fostering new collaborations and promoting the adoption of new frameworks. We specially encourage the submission of results from finished or ongoing projects, demos of their use-cases and products. *Topics* * Software architectures for real-time distributing computing: programming paradigms, ORC paradigms, object/component models, languages, synchronous languages. * Distributed computing and communication infrastructures: real-time communications, networked platforms, protocols, Internet QoS, peer-to-peer computing, sensor networks, VANETS and V2V and V2I communications, time-predictable systems and hardware, trusted and dependable systems, complex systems of systems, model maintenance. * Algorithms for real-time analytics: real-time stream processing solutions including clustering, classification, mining and inferencing, machine and deep learning, statistical modeling, stream correlation and sampling. * System software: real-time kernels, operating systems, virtualization/container mechanisms and distribution middleware for ORC, supporting QoS management and performance, decentralized processing and scalability, extensibility, synchronization, resource allocation, scheduling, energy efficiency, timing analysis, fault tolerance and resilience, security. * Applications: medical devices, intelligent transportation systems, industrial automation systems and Industry 4.0, Internet of Things and Smart Grids, embedded and cyber-physical systems (automotive, avionics, autonomous vehicles, consumer electronics, building systems, sensors, etc), multimedia processing, RT Web-based Applications, QoS-Aware and real-time Cloud/Edge/Fog Computing, real-time packet processing for future networking infrastructures and Network Function Virtualization (NFV), time-sensitive social dispersed computing. * System evaluation: monitoring mechanisms & infrastructures, performance & timing evaluation, dependability, end-to-end QoS, system/infrastructure overheads, fault detection and recovery time, large-scale evaluations and field studies. * Submission guidelines* Authors should submit a 2-pages extended abstract describing the poster and an optional demonstration, in the IEEE Conference Proceedings format. The IEEE conference paper templates can be found here: https://www.ieee.org/conferences_events/conferences/publishing/templates.ht… <ISORC has become established as the leading event devoted to state-of-the-art research in the field of object/component/service-oriented real-time distributed computing (ORC) technology.> The program committee will review the abstracts and decide on the adequacy of the demo/poster to the conference audience. Reviews are single-blinded. Accepted abstracts will appear in the conference proceedings, and highly-rated posters invited to submit a full paper to a special issue of Elsevier Journal of Systems Architecture (JSA) <https://www.journals.elsevier.com/journal-of-systems-architecture>. The session will consist of two parts: (i) a short presentation session where each participant can present slides on their demo/poster, followed by (ii) a demonstration and poster session where participants can display their work and discuss it with the attendees. Extended abstracts are to be submitted through HoTCRP at https://isorc20-ip.mpi-sws.org. All accepted poster/demo papers should be accompanied by a regular non-student registration. One of the authors of the poster/demo must attend and present their work at the conference. *Important dates* Submission deadline: March 24, 2020 Acceptance notification: April 1, 2020 Camera-ready papers: April 6, 2020 Conference: May 19 - 21, 2020 *Program committee chairs* Frank Mueller, North Carolina State University, USA, muelle(a)ncsu.edu Yogesh Simmhan, Indian Institute of Science (IISc), Bengaluru, India, simmhan(a)iisc.ac.in Tommaso Cucinotta, Scuola Superiore Sant'Anna, Pisa, Italy, tommaso.cucinotta(a)santannapisa.it -- Tommaso Cucinotta, Computer Engineering PhD Associate Professor at the Real-Time Systems Laboratory (ReTiS) Scuola Superiore Sant'Anna, Pisa, Italy http://retis.sssup.it/people/tommaso

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CfPapers: European Dependable Computing Conference - EDCC 2020
by Alexander Romanovsky 28 Feb '20

28 Feb '20

The 16th European Dependable Computing Conference - EDCC 2020 September 7-10, 2020, Munich, Germany Call for Papers The European Dependable Computing Conference is a leading venue for presenting and discussing the latest research, industrial practice and innovations in dependable and secure computing. The European Dependable Computing Conference is a unique forum for researchers and practitioners to present and discuss their latest research results on theory, techniques, systems, and tools for the design, validation, operation and evaluation of dependable and secure computing systems. The conference will cover a broad range of topics related to dependability and security, which includes, but is not limited to: * Hardware and software architectures of dependable systems; * Model-driven and formal engineering approaches; * Fault-tolerant networks & ultra-reliable low-latency communication; * Dependability modelling and tools; * Verification and validation methods; * Development of safety and security-critical systems; * Dependability and security of o critical infrastructures, e.g. smart energy grids, intelligent transportation systems, smart cities; o cyber-physical systems and (industrial) IoT; o cloud, fog, and edge computing systems; o data analytics applications & systems based on machine learning and artificial intelligence; o databases and distributed ledgers (incl. block chains); o artificial intelligence-based systems and components * Data protection and data privacy The conference is inviting submissions to its different tracks in the following categories: -Regular papers (up to 8 pages) solicited on theory, techniques, systems, and tools for the design, validation, operation and evaluation of dependable and secure computing systems, covering any fault model, from traditional hardware and software faults to accidental and malicious human interactions. -Practical experience reports (up to 6 pages) dedicated to dependability in practice: industrial applications, experience in introducing dependability in industry, use of new or mature dependability approaches to new challenging problems or domains, etc. -Short papers (3-4 pages) describing preliminary research work (position papers) or a prototype/tool description, outlining the design or implementation of a software tool, or the prototyping of an operational system. The papers submitted to the conference should present an original contribution and formatted according to IEEE style: https://www.ieee.org/conferences/publishing/templates.html. All submissions must be made electronically through the EasyChair submission web page, and should clearly indicate in which category the paper is being submitted. Detailed indications about the paper format are provided in the paper submission page: http://edcc.dependability.org/papersubmission.html Best Paper Award Submissions will be judged on originality, significance, correctness and impact. Three distinguished papers will be selected among accepted papers and presented in a dedicated session of the conference program. Full research papers and practical experience reports are eligible for the distinction. Important Dates: Abstract Submission: March 17, 2020 Full Paper Submission: March 24, 2020 Author Notification: May 25, 2020 Camera-ready Paper: June 22, 2020 General chairs: Michael Paulitsch, Intel Mario Trapp, Fraunhofer Program Committee chair: Elena Troubitsyna, KTH Sweden Publicity chair: Alexander Romanovsky, Newcastle University Publication chair: Miguel Pardal, Universidade de Lisboa Students Forum chair: Marcello Cinque, Frederico II University of Naples For more information, visit: http://edcc.dependability.org/

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SDM/IBM EARLY CAREER DATA MINING RESEARCHER AWARD
by Alfredo Cuzzocrea 28 Feb '20

28 Feb '20

SDM/IBM EARLY CAREER DATA MINING RESEARCHER AWARD About the Award: The SDM/IBM Early Career Data Mining Researcher Award for Excellence in Data Analytics seeks to recognize one individual (no runner up/ honorable mention) who has made outstanding, influential, and lasting contributions in the field of data analysis and who will be within 10 years of having received their PhD degree as of the calendar year prior to the year of the award. For example, an award winner in 2020 should have received their PhD no earlier than 2009. Nominations: A candidate may be nominated by any member of the community except members of the Award Selection Committee. An individual may nominate at most one candidate for this award. Nominations must be submitted to the Award Selection Committee Co-Chairs by email at cdomenic(a)gmu.edu and nchawla(a)nd.edu with "SDM/IBM Research Award" as the subject. A nomination application (a single PDF file) should contain the following: 1-Name/email of nominator (self-nominations are not permitted). 2-Name/email of candidate being nominated. 3-A statement by the nominator (maximum of 500 words) as to why the ?nominee is highly deserving of the award. Note that since the award ?is for outstanding contributions, the statement and supporting letters should address what the contributions are and why they are both outstanding and significant. The nomination should also list the names and email addresses of up to 3 persons who will provide letters supporting the nomination. 4-CV of the nominee (the CV must clearly indicate date of degree received) 5-Up to three support letters. The letters should be collected by the nominator and included in the nomination. The letter writers may not be the nominator nor Award Selection Committee members. Important Dates: .Nomination Deadline: March 30, 2020 .Results Notification: April 15, 2020 Award Selection Committee: Nitesh Chawla, University of Notre Dame (Co-Chair) Carlotta Domeniconi, George Mason University (Co-Chair) Arindam Banerjee, University of Minnesota Dimitrios Gunopulos, University of Athens, Greece Zoran Obradovic, Temple University (Steering Committee Representative) Jimeng Sun, University of Illinois Urbana-Champaign Note that members of the selection committee cannot be nominators or provide support letters. Also note that the intent is to select exactly one awardee - re-nominations for subsequent years are permissible as long as the individuals continue to maintain eligibility. The committee at its discretion may elect not to make an award in a particular year.

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Call for Participation, ACDL2020, 3rd Advanced Course on Data Science & Machine Learning, July 13-17, Certosa di Pontignano (Siena) Tuscany - Italy, Early Registration: March 31
by Ludovico Montalcini 24 Feb '20

24 Feb '20

ACDL 2020, 3rd Advanced Course on Data Science & Machine Learning An Interdisciplinary Course: Big Data, Deep Learning & Artificial Intelligence without Borders ACDL 2020 – A Unique Experience: Data Science, Machine Learning & Artificial Intelligence with the World’s Leaders in the fascinating atmosphere of the ancient Certosa di Pontignano Certosa di Pontignano, Siena - Tuscany, Italy July 13-17, 2020 https://acdl2020.icas.xyz acdl(a)icas.xyz The past 2 editions have attracted more than 150 students per year and world-renowned experts in ML, AI, DP and DS including Yoshua Bengio, Leslie Kaelbling, Peter Norvig, Alex 'Sandy' Pentland, Marc'Aurelio Ranzato, Ruslan Salakhutdinov, Josh Tenenbaum, Naftali Tishby and Oriol Vinyals. More info about our current and past editions can be found here: https://acdl2020.icas.xyz/past-editions/ ACDL 2018 & ACDL 2019 Sold-out! Probably also ACDL 2020 ;-) Early registration deadline: March 31, 2020 https://acdl2020.icas.xyz/registration/ CALL FOR PARTICIPATION, POSTER & ORAL PRESENTATIONS: During the Registration Process we accept abstract submissions for posters and oral presentations to be presented during the poster sessions and the talk sessions. https://acdl2020.icas.xyz/registration/ Early registration deadline: March 31, 2020 Deadlines: Oral/Poster Presentation Submission: March 31, 2020. Notification of Decision for Oral/Poster Presentation: by April 12, 2020. Early Registration: Until March 31, 2020. Late Registration: After March 31, 2020. LECTURERS: Each Lecturer will hold three/four lessons on a specific topic. * Igor Babuschkin, DeepMind - Google, London, UK * Pierre Baldi, University of California Irvine, USA * Michael Bronstein, Twitter & Imperial College London, UK * Marco Gori, University of Siena, Italy * Victor Lempitsky, Samsung AI Center, Moscow Skolkovo Institute of Science and Technology, Russia * Diederik P. Kingma, Google Brain, San Francisco, CA, USA * Risto Miikkulainen, University of Texas at Austin, USA * Panos Pardalos, University of Florida, USA * Daniela Rus, Computer Science and Artificial Intelligence Laboratory, MIT, USA * Mihaela van der Schaar, University of Cambridge, UK More speakers coming soon! Tutorial Speakers * Chip Huyen, Stanford University, USA 4-hour tutorial on "TensorFlow 2.0 for Deep Learning Research" * Adam Paszke, University of Warsaw, Poland 4-hour tutorial on "PyTorch: A Modern Library for Machine Learning" More tutorial speakers coming soon! SCOPE: The Advanced Course is not a summer school suited only for younger scholars. Rather, a significant proportion of seasoned investigators are regularly present among the attendees, often senior faculty at their own institutions. The balanced audience that we strive to maintain in each Advanced Course greatly contributes to the development of intense cross-disciplinary debates among faculty and participants that typically address the most advanced and emerging areas of each topic. Each faculty member presents lectures and discusses with the participants for one entire day. Such long interaction together with the small, exclusive Course size provides the uncommon opportunity to fully explore the expertise of each faculty, often through one-to-one mentoring. This is unparalleled and priceless. The Certosa di Pontignano provides the perfect setting to a relaxed yet intense learning atmosphere, with the stunning backdrop of the Tuscan landscapes. World-class wines and traditional foods will make the Advanced Course on Data Science and Machine Learning the experience of a lifetime. 8 ECTS POINTS: Participants will be delivered a certificate of attendance indicating the number of hours of lectures (36-40 hours of lectures). In according to the academic system all PhD and master students attending to the summer school will may get 8 ECTS points. A formal certificate of successful participation in the event will be delivered indicating the number of hours of lectures. VENUE & ACCOMMODATION: The venue of ACDL 2020 will be The Certosa di Pontignano — Siena Dr. Lorenzo Pasquinuzzi The Certosa di Pontignano Località Pontignano, 5 – 53019, Castelnuovo Berardenga (Siena) – Tuscany – Italy phone: +39-0577-1521104 fax: +39-0577-1521098 info(a)lacertosadipontignano.com https://www.lacertosadipontignano.com/en/index.php A few Kilometres from Siena, on a hill dominating the town stands the ancient Certosa di Pontignano, a unique place where nature, history and hospitality blend together in memorable harmony. Built in the 1300, its medieval structure remains intact with additions of the following centuries. The Certosa is centred on its historic cloisters and gardens. https://acdl2020.icas.xyz/venue/ ACCOMMODATION: https://acdl2020.icas.xyz/accommodation/ REGISTRATION: https://acdl2020.icas.xyz/registration/ We remind you that ACDL 2018 and ACDL 2019 sold out a long time before the registration deadline! Anyone interested in participating in ACDL 2020 should register as soon as possible! Similarly for accommodation at the Certosa di Pontignano (the School Venue), book your full board accommodation at the Certosa as soon as possible! All course participants should/must stay at the Certosa di Pontignano. See you in Tuscany next July! ACDL 2020 Organizing Committee. acdl(a)icas.xyz https://acdl2020.icas.xyz https://www.facebook.com/groups/204310640474650/ https://twitter.com/TaoSciences * Apologies for multiple copies. Please forward to anybody who might be interested *

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Advanced Transport Tools and Methods at ICCSA 2020 (Scopus and ISI index) - 3rd call
by Massimiliano Petri 18 Feb '20

18 Feb '20

Dear Colleague, This is an invitation to submit a contribution for the: Advanced Transport Tools and Methods (A2TM 2020) Workshop of the 20th International Conference on Computational Science and Applications (ICCSA 2020, http://www.iccsa.org/) will be held on July 1 - 4, 2020 in Cagliari, Italy. TOPICS ====== The aim of A2TM workshop is to bring together scientists working on mobility. Topics of interest include (but are not limited to): Smart Urban Mobility, New ITS, Big Data in Transport, Innovation in Freight Transport and Logistic, Connected/Autonomous Vehicles, Innovation for Sustainable Mobility, Innovaton in Transport Modeling and Analysis IMPORTANT DATES ================ March 15, 2020: Deadline for abstract and paper submission to the A2TM Workshop. April 15, 2020: Notification of Acceptance. May 8, 2020: Early-bird Registration ends. May 8, 2020: Submission deadline for the final version of the Proceeding Papers. July 1-4, 2020: ICCSA 2020 Conference. PROCEEDINGS ============ The proceedings of the A2TM 2020 Workshop will appear in the Springer-Verlag, Lecture Notes in Computer Science (LNCS) series. The paper must be camera-ready, between 10 and 16 pages long and formatted according to the LNCS rules SUBMISSION DETAILS ================== All accepted papers will be included in the Springer Lecture Notes in Computer Science (LNCS, http://www.springer.com/gp/computer-science/lncs ) series and indexed by Scopus, EI Engineering Index, Thomson Reuters Conference Proceedings Citation Index (included in ISI Web of Science), and several other indexing services. The papers will contain linked references, XML versions and citable DOI numbers. Submitted papers will be subject to stringent peer review by at least three experts and carefully evaluated based on originality, significance, technical soundness, and clarity of exposition. The authors can submit abstracts and papers to your session accessing the electronic submission site: http://ess.iccsa.org/ You can find the instructions to prepare and submit papers on the web site: http://www.iccsa.org/instructions-for-authors If you are not registered, you must to register before the submission. From the personal page the author is able to submit first an abstract (phase 1), then a full paper (phase 2), selecting the session from the list of sessions in the submission forms. The author will be able to update the paper until the submission deadline. ORGANIZERS =========== * Massimiliano Petri (m.petri(a)ing.unipi.it) * Antonio Pratelli (a.pratelli(a)ing.unipi.it) Dep. of Industrial and Civil Engineering (University of Pisa), Italy. If you have some doubts or problems, do not hesitate to contact organizers. Best regards, Massimiliano Petri Antonio Pratelli (A2TM 2020 organizers) ---------------------------------------------------- Eng.Massimiliano Petri

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Computational and Applied Statistics at ICCSA 2020 (Scopus and ISI index) - extended deadline
by Ana Cristina Silva Braga 16 Feb '20

16 Feb '20

Dear Colleague, Due to a considerable number of requests, the deadline for paper submission, to the 7th edition of the Computational and Applied Statistics (CAS2020) (https://cas2020.webnode.com/) workshop has been extended to March, 15th. *********************************************************************** ****************** APOLOGIES FOR MULTIPLE COPIES RECEIVED *************** *********************************************************************** ********************* CAS 2020 CALL FOR PAPERS ************************** ********************* NEW deadline: March 15th, 2020 ******************** Computational and Applied Statistics (CAS 2020<https://cas2020.webnode.com/>) Workshop of the 20th International Conference on Computational Science and Applications (ICCSA 2020, http://www.iccsa.org/) will be held on July 1 - 4, 2020 in Cagliari, Italy. TOPICS ====== The aim of CAS workshop is to bring together scientists working in computational statistics, scientific computation and applications in all areas of sciences, engineering, industry, economics, life sciences and social sciences. Topics of interest include (but are not limited to): * Computational Statistics: new issues in the design of computational algorithms for implementing statistical methods, development in R, etc * Applications: statistical case study in all areas of sciences, engineering and industry, including economics, medicine, biology, earth sciences and social sciences. IMPORTANT DATES ================ March 15, 2020: Deadline for abstract and paper submission to the CAS Workshop. April 15, 2020: Notification of Acceptance. May 8, 2020: Early-bird Registration ends. May 8, 2020: Submission deadline for the final version of the Proceeding Papers. July 1-4, 2020: ICCSA 2020 Conference. PROCEEDINGS ============ The proceedings of the CAS 2020 Workshop will appear in the Springer-Verlag, Lecture Notes in Computer Science (LNCS) series. The paper must be camera-ready, between 10 and 16 pages long and formatted according to the LNCS rules SUBMISSION DETAILS ================== All accepted papers will be included in the Springer Lecture Notes in Computer Science (LNCS, http://www.springer.com/gp/computer-science/lncs ) series and indexed by Scopus, EI Engineering Index, Thomson Reuters Conference Proceedings Citation Index (included in ISI Web of Science), and several other indexing services. The papers will contain linked references, XML versions and citable DOI numbers. Submitted papers will be subject to stringent peer review by at least three experts and carefully evaluated based on originality, significance, technical soundness, and clarity of exposition. The authors can submit abstracts and papers to your session accessing the electronic submission site: http://ess.iccsa.org/ You can find the instructions to prepare and submit papers on the web site: http://www.iccsa.org/instructions-for-authors If you are not registered, you must to register before the submission. From the personal page the author is able to submit first an abstract (phase 1), then a full paper (phase 2), selecting the session from the list of sessions in the submission forms. The author will be able to update the paper until the submission deadline. ORGANIZER =========== * Ana Cristina Braga (acb(a)dps.uminho.pt<mailto:acb@dps.uminho.pt>), Dep. of Production and Systems (University of Minho), Algoritmi Research Centre (University of Minho), Portugal. If you have some doubts or problems, do not hesitate to contact the organizer. Best regards, Ana Cristina Braga (CAS 2020 organizer)

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[Journal] [Special Issue] CFP: Image and Vision Computing
by Pourya Shamsolmoali 16 Feb '20

16 Feb '20

Image and Vision Computing CALL FOR PAPERS Special Issue on Advances in Domain Adaptation for Computer Vision Aim and Scope: In daily routines, humans, not only learn and apply knowledge for visual tasks but also have intrinsic abilities to transfer knowledge between related vision tasks. For example, if a new vision task is relevant to any previous learning, it is possible to transfer the learned knowledge for handling the new vision task. In developing new computer vision algorithms, it is desired to utilize these capabilities to make the algorithms adaptable. Generally, traditional computer vision methods do not adapt to a new task and have to learn the new task from the beginning. These methods do not consider that the two visual tasks may be related and the knowledge gained in one may be applied to learn the other one efficiently in lesser time. Domain adaptation for computer vision is the area of research, which attempts to mimic this human behavior by transferring the knowledge learned in one or more source domains and use it for learning the related visual processing task in the target domain. Recent advances in domain adaptation, particularly in cotraining, transfer learning, and online learning have benefited computer vision research significantly. For example, learning from high-resolution source domain images and transferring the knowledge to learning low-resolution target domain information. This special issue will focus on the recent advances in domain adaptation for different computer vision tasks. Topics of interest include, but are not limited to: · Domain adaptation for machine learning frameworks for learning deep representations · Domain adaptation for face detection/recognition and tracking · Domain adaptation for object detection/ recognition and tracking · Domain adaptation and hybrid models for real-time computer vision tasks · Domain adaptation for human pose detection/recognition and estimation · Domain adaptation for event/action detection and recognition · Domain adaptation for few-shot learning · Domain adaptation for deep neural network optimization Important Dates: Paper submission due: May 31, 2020 First notification: July 31, 2020 Revision submission due: September 30, 2020 Final decision: November 30, 2020 Paper evaluation and submission: Submitted papers should present original, unpublished work, relevant to one of the topics of the Special Issue. All submitted papers will be evaluated on the basis of relevance, the significance of contribution, technical quality, and quality of presentation, by at least two independent reviewers (the papers will be reviewed following standard peer-review procedures of the Journal). Each paper will be reviewed rigorously and possibly in two rounds. Prospective authors should follow the formatting and Instructions of Image and Vision Computing at https://www.elsevier.com/journals/image-and-vision-computing/0262-8856/guid…, and invited to submit their papers directly via the online submission system at https://www.editorialmanager.com/IMAVIS/default.aspx. When submitting your manuscript please select the article type "VSI: Advances in Domain Adaptation for Computer Vision (ADACV)" Please submit your manuscript before the submission deadline. [ https://www.journals.elsevier.com/image-and-vision-computing/call-for-paper… | https://www.journals.elsevier.com/image-and-vision-computing/call-for-paper… ] Guest Editors: Dr. Pourya Shamsolmoali Institute of Image Processing & Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China. Email: [ mailto:pshams@sjtu.edu.cn | pshams(a)sjtu.edu.cn ] Prof. Salvador Garcaí Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain. Email: [ mailto:salvagl@decsai.ugr.es | salvagl(a)decsai.ugr.es ] Dr. Huiyu Zhou Department of Informatics, University of Leicester, Leicester, UK. Email: [ mailto:hz143@leicester.ac.uk | hz143(a)leicester.ac.uk ] Prof. M. Emre Celebi Department of Computer Science, University of Central Arkansas, Conway, Arkansas, USA. Email: [ mailto:ecelebi@uca.edu | ecelebi(a)uca.edu ]

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