computational.science

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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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