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[PSD 2022, MAY 22, Hard Deadline] PRIVACY IN STATISTICAL DATABASES, Springer LNCS, Paris, France, Sept. 2022
by Joaquin Garcia-Alfaro 19 May '22

19 May '22

** Apologies for Cross-postings -- please share ** PRIVACY IN STATISTICAL DATABASES 2022 (PSD 2022) ============================================ Paris, France, September 21-23, 2022 https://crises-deim.urv.cat/psd2022/ Submission deadline: *MAY 22, 2022* (Hard deadline. It has already been extended one week). Submission link: https://easychair.org/conferences/?conf=psd2022 Follow our twitter account to receive the latest news: @PSD_Conference 1. AIMS AND GOAL ----------------- Privacy in statistical databases is about finding tradeoffs 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 enterprise which are the respondents providing the statistical data. In the case of statistical databases, the motivation for respondent privacy is one of survival: data collectors 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 2022" (PSD 2022) is a conference with proceedings published by Springer-Verlag in Lecture Notes in Computer Science. The purpose of PSD 2022 is to attract world-wide, high-level research in statistical database privacy. PSD 2022 is a successor to PSD 2020 (online, Sep. 23-25, 2020, https://unescoprivacychair.urv.cat/psd2020/) 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 12276, LNCS 11126, LNCS 9867, LNCS 8744, LNCS 7556, LNCS 6344, LNCS 5262, LNCS 4302 and LNCS 3050, respectively. Those ten 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 2022 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 - Jane Bambauer (University of Arizona, USA) - Bettina Berendt (Technical University of Berlin, Germany) - Aleksandra Bujnowska (EUROSTAT, European Union) - Jordi Castro (Polytechnical University of Catalonia) - Anne-Sophie Charest (Universite Laval, Quebec, Canada) - Peter Christen (Australian National University, Australia) - Christopher Clifton (Purdue University, USA) - Graham Cormode (University of Warwick, UK) - Roberto DiPietro (Hamad Bin Khalifa University, Qatar) - Josep Domingo-Ferrer (Universitat Rovira i Virgili, Catalonia) - Joerg Drechsler (IAB, Germany) - Khaled El Emam (University of Ottawa, Canada) - Mark Elliot (Manchester University, UK) - Sebastien Gambs (Universite du Quebec a Montreal) - Sarah Giessing (Destatis, Germany) - Marc Juarez (University of Southern California, USC) - Hiroaki Kikuchi (Meiji University, Japan) - Maryline Laurent (Telecom SudParis-Institut Polytechnique de Paris, France) - Bradley Malin (Vanderbilt University, USA) - Anna Monreale (Universita di Pisa, Italy) - Krish Muralidhar (The University of Oklahoma, USA) - David Naccache (Ecole Normale Superieure, France) - Benjamin Nguyen (INSA Centre Val de Loire, France) - Anna Oganyan (National Center for Health Statistics, USA) - Melek Onen (Eurecom, France) - Constantinos Patsakis (University of Piraeus, Greece) - Jerry Reiter (Duke University, USA) - Yosef Rinott (Hebrew University, Israel) - Salvatore Ruggieri (Universita di Pisa, Italy) - Steven Ruggles (University of Minnesota, USA) - Nicolas Ruiz (OECD) - Pierangela Samarati (University of Milan, Italy) - David Sanchez (Universitat Rovira i Virgili, Catalonia) - Monica Scannapieco (ISTAT, Italy) - 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 (Umea University, Sweden) - Rolando Trujillo-Rasua (Deakin University, Australia) - Lars Vilhuber (Cornell University, USA) - Peter-Paul de Wolf (Statistics Netherlands) PROGRAM CHAIR - Josep Domingo-Ferrer (Universitat Rovira i Virgili, Catalonia) GENERAL CHAIR - Maryline Laurent (Telecom SudParis-Institut Polytechnique de Paris, France) ORGANIZATION COMMITTEE - Samia Bouzefrane (CNAM, France) - Joaquin Garcia-Alfaro (Telecom SudParis-Institut Polytechnique de Paris, France) - Miriam Guillem (Universitat Rovira i Virgili, Catalonia) - Jesus Manjon (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 Computer Science. 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 2022 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 and no copyright transfer (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 USB will be *available at the conference*. 6. IMPORTANT DATES ------------------ Submission deadline: *May 22, 2022** (Hard deadline. It has already been extended one week) Acceptance notification: June 17, 2022 Proceedings version due: June 26, 2022 USB-only submission deadline: June 26, 2022 USB-only acceptance notification: July 6, 2022 USB-only proceedings version due: July 13, 2022 Conference: Sep. 21-23, 2022 7. VENUE AND TRAVEL ------------------- The conference will take place at the headquarters of the Conservatoire National des Arts et Metiers (CNAM) in central Paris. Further venue, travel and accomodation information will be posted no later than June 2022 at https://crises-deim.urv.cat/psd2022 8. REGISTRATION --------------- Registration information will be posted no later than June 2022 at http://crises-deim.urv.cat/psd2022

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[NEW DEADLINE] ESR 3 years research grant - Marie Skłodowska-Curie Action - InnoCyPES European project
by Massimo Cafaro 18 May '22

18 May '22

A three years research grant is available within the InnocyPES European project. The position is related to ESR4, for research on Large Scale Data Management and Integration DEADLINE: June 2, 2022 Ukranian Researchers are strongly encouraged to apply! Downloadable application forms etc are available: official Italian documents: https://www.unisalento.it/bandi-concorsi/-/bandi/view/66046831 unofficial English translation: http://sara.unisalento.it/~cafaro/page-3/ InnoCyPES announcement: https://innocypes.eu/index.php/2022/03/29/esr-4-large-scale-data-management… Foreign candidates are strongly encouraged to contact Prof. Cafaro by email (massimo.cafaro(a)unisalento.it) if they need help/support in order to prepare their application. A public selection procedure is called for a research grant for collaboration in research activities (hereinafter referred to as research grant), at the Department of Innovation Engineering of the University of Salento. The location, the duration, the amount, the scientific disciplinary sector, the scientific referent, the structure available to the winner and the program of the research grant are specified below: STRUCTURE Department of Engineering for Innovation, University of Salento, Lecce, Italy DURATION 3 years REMUNERATION The research grant will last 3 (three) years. The annual remuneration, gross of charges to be borne by the beneficiary and inclusive of contributions and social security charges to be borne by the University of Salento, consists of the following items: 1. Living allowance: Euro 40,966.56 (forty thousand nine hundred and sixty-six/56); 2. Mobility allowance: Euro 7.200,00 (seven thousand two hundred/00); 3. Family allowance: 3.1.Euro 0 (zero) per researcher without family obligations; 3.2.Euro 6,000.00 (six thousand/00) for researchers with family obligations (married or with a relationship recognised by Italian law or that of the country of origin or with dependent children). SCIENTIFIC SUPERVISOR Prof. Massimo Cafaro RESEARCH TITLE LARGE SCALE DATA MANAGEMENT AND INTEGRATION DESCRIPTION This is a three year “Marie Curie ETN Early Stage Researcher position” on the following topic. The sheer quantum of data being created and collected across jurisdictions requires a carefully planned and proactive approach to data management. The need for fusion and integration of multiple data sources characterized by fragmented data ownership is driving innovative approaches to large scale distributed data management and integration to avoid inconsistent and inaccurate data. The aim is to investigate, design and implement a fully decentralized solution to provide efficient management of dynamically updated information and support for distributed queries. One or more domain specific use cases shall be identified within the context of the project, considering both the current and future needs of some of the involved partners. These nicely fit into the research plan, owing to the need of surveying the user’s requirements to begin with; simultaneously, the uses cases can also be thought of as sources of advanced data management challenges. For admission to the selection is required the possession of all the requirements provided by law for access to public employment, the eligibility requirements provided by the Marie Sklodowska- Curie Action (https://ec.europa.eu/research/participants/data/ref/h2020/wp/2018-2020/main…) and the following requirements: a) Master of Science degree in Computer Science or Computer Engineering or equivalent qualification that formally allows access to a PhD program in Italy; b) an excellent academic career; c) must not have carried out more than 4 years of research activity after obtaining the degree mentioned in the previous point within the expected starting date of the contract (indicatively fixed at 01.03.2022); d) have a background relevant to the following areas but not limited to: distributed computing, databases, distributed data management, security and privacy; knowledge of C/C++ programming languages and time series archiving/analysis is a plus; e) must not have a Ph.D. as of the contract start date; f) must not have resided or carried out the main activity of study/work in Italy for more than 12 months during the 3 years preceding the date of the beginning of the contract; g) have an excellent knowledge of the English language, in any case sufficient to ensure the performance of the activity envisaged by the contract and daily interaction in the working environment; h) must not have criminal convictions or have pending criminal proceedings of particular gravity. Lack of even one of the above requirements will result in exclusion from the selection process at any time. Qualifications obtained abroad must normally be previously recognized in Italy in accordance with current legislation. The equivalence of qualifications obtained abroad that have not already been recognized in Italy will be evaluated by the Selection Committee solely for the purpose of admitting the candidate to this call for selection. The qualifications must be possessed on the date of expiry of the deadline established for the presentation of applications for admission to this selection. The University of Salento guarantees equality and equal opportunities between men and women for the allocation of the grants in question and the protection of confidentiality in the processing of personal data, according to the provisions in force. The position is officially advertised at the University of Unisalento: https://www.unisalento.it/bandi-concorsi/-/bandi/view/66046831 ******************************************************************************************* Prof. Massimo Cafaro, Ph.D. Associate Professor of Parallel Algorithms and Data Mining/Machine Learning Department of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro Web https://www.unisalento.it/people/massimo.cafaro E-mail massimo.cafaro(a)unisalento.it E-mail cafaro(a)ieee.org E-mail cafaro(a)acm.org INGV National Institute of Geophysics and Volcanology Via di Vigna Murata 605 Roma CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ******************************************************************************************* --

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[DEADLINE EXTENDED] 3 Years Marie Skłodowska-Curie ESR research grant - InnocyPES European project.
by Massimo Cafaro 26 Apr '22

26 Apr '22

A three years research grant is available within the InnocyPES European project. The position is related to ESR4, for research on Large Scale Data Management and Integration DEADLINE: extended to May 5, 2022 Ukranian Researchers are strongly encouraged to apply! Downloadable application forms etc are available: official Italian documents: https://www.unisalento.it/bandi-concorsi/-/bandi/view/66046831 unofficial English translation: http://sara.unisalento.it/~cafaro/page-3/ InnoCyPES announcement: https://innocypes.eu/index.php/2022/03/29/esr-4-large-scale-data-management… Foreign candidates are strongly encouraged to contact Prof. Cafaro by email (massimo.cafaro(a)unisalento.it) if they need help/support in order to prepare their application. A public selection procedure is called for a research grant for collaboration in research activities (hereinafter referred to as research grant), at the Department of Innovation Engineering of the University of Salento. The location, the duration, the amount, the scientific disciplinary sector, the scientific referent, the structure available to the winner and the program of the research grant are specified below: STRUCTURE Department of Engineering for Innovation, University of Salento, Lecce, Italy DURATION 3 years REMUNERATION The research grant will last 3 (three) years. The annual remuneration, gross of charges to be borne by the beneficiary and inclusive of contributions and social security charges to be borne by the University of Salento, consists of the following items: 1. Living allowance: Euro 40,966.56 (forty thousand nine hundred and sixty-six/56); 2. Mobility allowance: Euro 7.200,00 (seven thousand two hundred/00); 3. Family allowance: 3.1.Euro 0 (zero) per researcher without family obligations; 3.2.Euro 6,000.00 (six thousand/00) for researchers with family obligations (married or with a relationship recognised by Italian law or that of the country of origin or with dependent children). SCIENTIFIC SUPERVISOR Prof. Massimo Cafaro RESEARCH TITLE LARGE SCALE DATA MANAGEMENT AND INTEGRATION DESCRIPTION This is a three year “Marie Curie ETN Early Stage Researcher position” on the following topic. The sheer quantum of data being created and collected across jurisdictions requires a carefully planned and proactive approach to data management. The need for fusion and integration of multiple data sources characterized by fragmented data ownership is driving innovative approaches to large scale distributed data management and integration to avoid inconsistent and inaccurate data. The aim is to investigate, design and implement a fully decentralized solution to provide efficient management of dynamically updated information and support for distributed queries. One or more domain specific use cases shall be identified within the context of the project, considering both the current and future needs of some of the involved partners. These nicely fit into the research plan, owing to the need of surveying the user’s requirements to begin with; simultaneously, the uses cases can also be thought of as sources of advanced data management challenges. For admission to the selection is required the possession of all the requirements provided by law for access to public employment, the eligibility requirements provided by the Marie Sklodowska- Curie Action (https://ec.europa.eu/research/participants/data/ref/h2020/wp/2018-2020/main…) and the following requirements: a) Master of Science degree in Computer Science or Computer Engineering or equivalent qualification that formally allows access to a PhD program in Italy; b) an excellent academic career; c) must not have carried out more than 4 years of research activity after obtaining the degree mentioned in the previous point within the expected starting date of the contract (indicatively fixed at 01.03.2022); d) have a background relevant to the following areas but not limited to: distributed computing, databases, distributed data management, security and privacy; knowledge of C/C++ programming languages and time series archiving/analysis is a plus; e) must not have a Ph.D. as of the contract start date; f) must not have resided or carried out the main activity of study/work in Italy for more than 12 months during the 3 years preceding the date of the beginning of the contract; g) have an excellent knowledge of the English language, in any case sufficient to ensure the performance of the activity envisaged by the contract and daily interaction in the working environment; h) must not have criminal convictions or have pending criminal proceedings of particular gravity. Lack of even one of the above requirements will result in exclusion from the selection process at any time. Qualifications obtained abroad must normally be previously recognized in Italy in accordance with current legislation. The equivalence of qualifications obtained abroad that have not already been recognized in Italy will be evaluated by the Selection Committee solely for the purpose of admitting the candidate to this call for selection. The qualifications must be possessed on the date of expiry of the deadline established for the presentation of applications for admission to this selection. The University of Salento guarantees equality and equal opportunities between men and women for the allocation of the grants in question and the protection of confidentiality in the processing of personal data, according to the provisions in force. The position is officially advertised at the University of Unisalento: https://www.unisalento.it/bandi-concorsi/-/bandi/view/66046831 ******************************************************************************************* Prof. Massimo Cafaro, Ph.D. Associate Professor of Parallel Algorithms and Data Mining/Machine Learning Department of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro Web https://www.unisalento.it/people/massimo.cafaro E-mail massimo.cafaro(a)unisalento.it E-mail cafaro(a)ieee.org E-mail cafaro(a)acm.org INGV National Institute of Geophysics and Volcanology Via di Vigna Murata 605 Roma CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ******************************************************************************************* --

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CfP: 29th IEEE International Conference on High Performance Computing, Data & Analytics (HiPC 2022)
by Anand Panangadan 17 Apr '22

17 Apr '22

HiPC 2022 29th IEEE International Conference on High Performance Computing, Data & Analytics Dec. 18-21, 2022 Bengaluru, India Website: http://www.hipc.org CALL FOR PAPERS HiPC 2022 will be the 29th 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. Each submission should be submitted to one of the six 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. Depending on how the COVID-19 pandemic situation evolves, the presentation may be in person or in a virtual format. Authors of selected high-quality papers in HiPC 2022 will be invited to submit extended versions of their papers for possible publication in a special issue of the Journal of Parallel and Distributed Computing (JPDC). HIGH PERFORMANCE COMPUTING Topics for papers include, but are not limited to the topics given under the categories below. 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., concurrency, data locality, communication-avoiding, asynchronous, hybrid CPU-GPU algorithms, fault tolerance, resilience,); - 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, many cores, 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). SCALABLE 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, data (pre-)processing 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 the 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, health sciences); - 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, natural language processing 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): - New parallel and distributed algorithms and design techniques; - 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, data deduplication, 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 - Submission site open: June 15, 2022 - Abstract submissions: July 4, 2022 AOE - Full Paper submissions: July 8, 2022 AOE - First-round Author notifications: September 12, 2022 - Submission of revised papers along with response to reviews: October 10, 2022 - Author notification for revised papers: November 1, 2022 - Camera-ready version: November 15, 2022 - Conference dates: December 18-21, 2022 General Co-chairs: - Chiranjib Sur, Shell, India - Neelima Bayyapu, Consultant, India Vice General Co-chairs: - Sanmukh Rao Kuppannagari, University of Southern California, USA - Vivek Yadav, IIIT-Bangalore, India- - Program Co–chairs: - High performance computing: Sathish Vadhiyar, Indian Institute of Science, India - Data science: Jun Wang, University of Central Florida, USA Steering committee chair: - Viktor K. Prasanna, University of Southern California, USA Program Vice-Chairs HPC TRACKS - Algorithms: Thomas Herault, University of Tennessee, USA - Applications: Yogish Sabharwal, IBM IRL, India - Architecture: Diana Goehringer, TU Dresden, Germany - System Software: Jyothi Vedurada, IIT, Hyderabad DATA SCIENCE TRACKS - Scalable Algorithms and Analytics: Zhishan Guo, University of Central Florida, USA - Scalable Systems and Software: Dan Huang, Sun Yat-Sen University, PRC

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Virtualization in High-Performance Cloud Computing (VHPC 2022) - Submission deadline extended
by Tommaso Cucinotta 14 Apr '22

14 Apr '22

[apologies for cross-postings] *The paper submission deadline for VHPC 2022 has been extended to April 26th (AoE). Please, register your abstract by April 19th.* The Workshop on Virtualization in High-Performance Cloud Computing (VHPC) <vhpc.org/> is an international forum bringing together researchers and industrial practitioners facing the challenges posed by virtualization in HPC/Cloud scenarios, 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 17th edition of VHPC will be held on June 2nd, jointly with the ISC High-Performance 2022 <https://www.isc-hpc.com/> conference and exhibition in Hamburg (Germany), and will feature two excellent *industrial **_/keynote speakers/_* * “rtla: finding the sources of OS noise on Linux”, Daniel Bristot De Oliveira, Senior Principal Software Engineer in the real-time kernel team at Red Hat * “DynamoDB: NoSQL database services for predictable HPC workloads”, Akshat Vig, Principal Software Engineer at Amazon Web Services (AWS) In addition to the general research topics mentioned below, VHPC'22 encourages particularly contributions on the following _/focus topics/_: * Container Platforms (Kubernetes, Docker, Singularity, Shifter, rkt, …) for Scientific Workflows * Composable Lightweight Applications and Unikernel Frameworks * Latency Control and Data/Container Placement in Heterogeneous HPC Virtualized Environments * Energy-efficiency and Service Orchestration in Virtualized Cloud & HPC Infrastructures *Workshop Overview* 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 and heterogeneous infrastructures in a seamless fashion to support the highly dynamic and diverse workloads and 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. More recently, Function as a Service (Faas) and Serverless computing, leveraging on lightweight virtualizaton and containerization solutions, widens the spectrum of applications that can be deployed in a cloud environment, especially in an HPC context. Here, HPC-provided services can 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 bare-metal 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. *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 cloud computing. Each topic encompasses aspects related to design/architecture, management, performance management, modeling and configuration/tooling: Design / Architecture: * Containers and OS-level virtualization (LXC, Docker, rkt, Singularity, Shifter) * Hypervisor support for heterogeneous resources (GPUs, co-processors, FPGAs, etc.) * Hypervisor extensions to mitigate side-channel attacks ([micro-]architectural timing attacks, privilege escalation) * VM & Container trust and security models * Multi-environment coupling, system software supporting in-situ analysis with HPC simulation * Cloud reliability, fault-tolerance and high-availability * Energy-efficient and power-aware virtualization * Containers inside VMs with hypervisor isolation * Virtualization support for emerging memory technologies * Lightweight/specialized operating systems in conjunction with virtual machines * Hypervisor support for heterogeneous resources (GPUs, co-processors, FPGAs, etc.) * Novel unikernels and use cases for virtualized HPC environments * ARM-based hypervisors, ARM virtualization extensions Management: * Container, VM and data management for HPC and cloud environments * HPC services integration, services to support HPC * Service and on-demand scheduling & resource management * Dedicated workload management with VMs or containers * Workflow coupling with VMs and containers * Unikernels and lightweight VM application management * Environments and tools for operating containerized environments (batch, orchestration) * Novel models for non-HPC workload provisioning on HPC resources Performance Measurements and Modeling: * Performance improvements for or driven by unikernels * Optimizations of virtual machine monitor platforms and hypervisors * Scalability analysis of VMs and/or containers at large scale * Performance measurement, modeling and monitoring of virtualized/cloud workloads * Virtualization in supercomputing environments, HPC clusters, HPC in the cloud * Energy-efficient deployment of high-performance, ultra-low latency and real-time workloads in cloud infrastructures * Modeling, control and isolation of end-to-end performance for parallel & distributed cloud/HPC applications Configuration / Tooling: * Tool support for unikernels: configuration/build environments, debuggers, profilers * Job scheduling/control/policy and container placement in virtualized environments * Measuring and controlling “OS/Virtualization noise” * Operating MPI in containers/VMs and Unikernels * GPU virtualization operationalization 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. For more information and detailed paper submission instructions, refer to the VHPC'22 webpage <https://vhpc.org/>: https://vhpc.org/ *Important Dates* * *Apr 19th, 2022 (extended)*: Abstract submission (opens /Feb 14th, 2022/) * *Apr 26th, 2022 (extended)*: Paper submission deadline (Springer LNCS) * *May 6th, 2022*: Acceptance notification * *Jun 2nd, 2022*: Workshop Day * *Jul 10th, 2022*: Camera-ready version due (post-workshop) *General Chairs* * Michael Alexander, BOKU Vienna, Austria * Anastassios Nanos, Nubificus Ltd., UK * Tommaso Cucinotta, Scuola Superiore Sant’Anna, Ital -- Tommaso Cucinotta, Associate Professor of Computer Engineering, PhD Head of the Real-Time Systems Laboratory (ReTiS) Scuola Superiore Sant'Anna, Pisa, Italy http://retis.sssup.it/~tommaso/eng/research.html

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[DEADLINE APPROACHING] InnoCyPES European Project - ESR4 position available
by Massimo Cafaro 10 Apr '22

10 Apr '22

A three years research grant is available within the InnocyPES European project. The position is related to ESR4, for research on Large Scale Data Management and Integration DEADLINE: April 19, 2022 Ukranian Researchers are strongly encouraged to apply! Downloadable application forms etc are available: official Italian documents: https://www.unisalento.it/bandi-concorsi/-/bandi/view/66046831 unofficial English translation: http://sara.unisalento.it/~cafaro/page-3/ InnoCyPES announcement: https://innocypes.eu/index.php/2022/03/29/esr-4-large-scale-data-management… Foreign candidates are strongly encouraged to contact Prof. Cafaro by email (massimo.cafaro(a)unisalento.it) if they need help/support in order to prepare their application. A public selection procedure is called for a research grant for collaboration in research activities (hereinafter referred to as research grant), at the Department of Innovation Engineering of the University of Salento. The location, the duration, the amount, the scientific disciplinary sector, the scientific referent, the structure available to the winner and the program of the research grant are specified below: STRUCTURE Department of Engineering for Innovation, University of Salento, Lecce, Italy DURATION 3 years REMUNERATION The research grant will last 3 (three) years. The annual remuneration, gross of charges to be borne by the beneficiary and inclusive of contributions and social security charges to be borne by the University of Salento, consists of the following items: 1. Living allowance: Euro 40,966.56 (forty thousand nine hundred and sixty-six/56); 2. Mobility allowance: Euro 7.200,00 (seven thousand two hundred/00); 3. Family allowance: 3.1.Euro 0 (zero) per researcher without family obligations; 3.2.Euro 6,000.00 (six thousand/00) for researchers with family obligations (married or with a relationship recognised by Italian law or that of the country of origin or with dependent children). SCIENTIFIC SUPERVISOR Prof. Massimo Cafaro RESEARCH TITLE LARGE SCALE DATA MANAGEMENT AND INTEGRATION DESCRIPTION This is a three year “Marie Curie ETN Early Stage Researcher position” on the following topic. The sheer quantum of data being created and collected across jurisdictions requires a carefully planned and proactive approach to data management. The need for fusion and integration of multiple data sources characterized by fragmented data ownership is driving innovative approaches to large scale distributed data management and integration to avoid inconsistent and inaccurate data. The aim is to investigate, design and implement a fully decentralized solution to provide efficient management of dynamically updated information and support for distributed queries. One or more domain specific use cases shall be identified within the context of the project, considering both the current and future needs of some of the involved partners. These nicely fit into the research plan, owing to the need of surveying the user’s requirements to begin with; simultaneously, the uses cases can also be thought of as sources of advanced data management challenges. For admission to the selection is required the possession of all the requirements provided by law for access to public employment, the eligibility requirements provided by the Marie Sklodowska- Curie Action (https://ec.europa.eu/research/participants/data/ref/h2020/wp/2018-2020/main…) and the following requirements: a) Master of Science degree in Computer Science or Computer Engineering or equivalent qualification that formally allows access to a PhD program in Italy; b) an excellent academic career; c) must not have carried out more than 4 years of research activity after obtaining the degree mentioned in the previous point within the expected starting date of the contract (indicatively fixed at 01.03.2022); d) have a background relevant to the following areas but not limited to: distributed computing, databases, distributed data management, security and privacy; knowledge of C/C++ programming languages and time series archiving/analysis is a plus; e) must not have a Ph.D. as of the contract start date; f) must not have resided or carried out the main activity of study/work in Italy for more than 12 months during the 3 years preceding the date of the beginning of the contract; g) have an excellent knowledge of the English language, in any case sufficient to ensure the performance of the activity envisaged by the contract and daily interaction in the working environment; h) must not have criminal convictions or have pending criminal proceedings of particular gravity. Lack of even one of the above requirements will result in exclusion from the selection process at any time. Qualifications obtained abroad must normally be previously recognized in Italy in accordance with current legislation. The equivalence of qualifications obtained abroad that have not already been recognized in Italy will be evaluated by the Selection Committee solely for the purpose of admitting the candidate to this call for selection. The qualifications must be possessed on the date of expiry of the deadline established for the presentation of applications for admission to this selection. The University of Salento guarantees equality and equal opportunities between men and women for the allocation of the grants in question and the protection of confidentiality in the processing of personal data, according to the provisions in force. The position is officially advertised at the University of Unisalento: https://www.unisalento.it/bandi-concorsi/-/bandi/view/66046831 ******************************************************************************************* Prof. Massimo Cafaro, Ph.D. Associate Professor of Parallel Algorithms and Data Mining/Machine Learning Department of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro Web https://www.unisalento.it/people/massimo.cafaro E-mail massimo.cafaro(a)unisalento.it E-mail cafaro(a)ieee.org E-mail cafaro(a)acm.org INGV National Institute of Geophysics and Volcanology Via di Vigna Murata 605 Roma CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ******************************************************************************************* --

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call for participation in online OpenMP study
by Eric Aubanel 08 Apr '22

08 Apr '22

Researchers at the University of New Brunswick are recruiting programmers with experience in parallel programming in C using OpenMP 4.0 directives to complete an online study. The goal of the research is to study the mental representations formed by parallel programmers. Understanding these representations is important for developing programming languages and tools that enhance and assist programmers in the comprehension process and other tasks. The study takes approximately 60 minutes and needs to be completed on a desktop or laptop computer (not a handheld device). The study can be accessed through the following link: https://unbfpsyc.ca1.qualtrics.com/jfe/form/SV_3QmkAJ1jqnPAFtr For more information please contact the principal investigator: Leah Bidlake (leah.bidlake(a)unb.ca) This project has been approved by the Research Ethics Board of the University of New Brunswick. Dr. Eric Aubanel, Professor Acting Assistant Dean (Graduate) Faculty of Computer Science, University of New Brunswick http://www.cs.unb.ca/profs/aubanel

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ICCSA 2022: Last Call for Papers
by Osvaldo Gervasi 31 Mar '22

31 Mar '22

** We apologize if you received multiple copies of the present message ** ***************************************************************************** ******************* LAST Call for Papers ********************** ********************** Deadline April 12, 2022 ************************* ***************************************************************************** Call for Papers, Short Papers and PHD Showcase papers The 2022 International Conference on Computational Science and Its Applications University of Malaga, Malaga, Spain ICCSA 2022 July 4-7, 2022 https://iccsa.org ICCSA 2022 is the next event in the series of highly successful International Conferences on Computational Science and Its Applications, previously held in Cagliari - Italy (2021, as blended Conference, part in-presence and part online) ONLINE (2020, as an online-only event due to COVID-19 pandemic restrictions), Saint Petersburg - Russia (2019), Melbourne - Australia (2018), Trieste - Italy (2017), Beijing - China (2016), Banff - Canada (2015), Guimaraes - Portugal (2014), Ho Chi Minh City - Vietnam (2013), Salvador da Bahia - Brazil (2012), Santander - Spain (2011), Fukuoka - Japan (2010), Suwon - Korea (2009), Perugia - Italy (2008), Kuala Lumpur - Malaysia (2007), Glasgow - United Kingdom (2006), Singapore - Singapore(2005), Assisi - Italy (2004), Montreal - Canada (2003), and, as ICCS, in Amsterdam - The Netherlands (2002) and San Francisco - USA (2001). The ICCSA 2022 conference will be organized in Malaga, Spain, in collaboration with the University of Malaga. Like last year, ICCSA 2022 offers the possibility of online-only participation (with reduces registration fees) and in-presence participation, should the pandemic situation allow it, by setting up a blended experience. Computational Science is a main pillar of most of the present research, industrial and commercial activities and plays a unique role in exploiting ICT innovative technologies. The ICCSA Conference offers a real opportunity to bring together scientists of different disciplines, discuss new issues, tackle complex problems and find advanced solutions breeding new trends in Computational Science. 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. Accepted papers will appear in the Conference proceedings to be published by Springer in Lecture Notes for Computer Science and, as post-Conference proceedings, Conference Publishing System (CPS). The authors of a selected number of top-quality papers will be requested to extend their papers for further review and publication as special issues in highly recognized international journals. ICCSA 2022 accepts paper submission in the following categories: main Conference theme papers and Workshop papers. The details for each paper submission category can be found at the URL https://iccsa.org/nstructions-for-authors and the list of Workshops at the URL: https://iccsa.org/workshops. Conference Themes ----------------- The ICCSA 2022 Conference themes, grouped in five tracks, are the following (but are not limited to): 1. Track: Computational Methods, Algorithms and Scientific Application Computational Biology Computational Combustion Computational Chemistry Computational Fluid Dynamics Computational Physics Computational Geometry Computational Mathematics Computational Mechanics Computational Electro-magnetics Numerical Methods and Algorithms 2. Track: High Performance Computing and Networks Parallel and Distributed Computing Cluster Computing Supercomputing Cloud Computing Autonomic Computing P2P Computing Mobile Computing Grid and Semantic Grid Computing Workflow Design and Practice Computer and Network Architecture 3. Track: Geometric Modelling, Graphics and Visualization Scientific Visualization Computer Graphics Geometric Modelling Pattern Recognition Image Processing CAD/CAM Web3D, Virtual and Augmented Reality 4. Track: Advanced and Emerging Applications Biochemistry Bioinformatics Astrophysics Biometric Modelling Environmental, Climate and Weather Modelling Geology and Geophysics Nuclear Physics Financial and Economical Modelling Computational Journalism Geographical Information Systems 5. Track: Information Systems and Technologies Information Retrieval Scientific Databases Security Engineering Risk Analysis Reliability Engineering Software Engineering Data Mining Artificial Intelligence Learning Technologies Web Based Computing Web 2.0 6 Track: Urban and Regional Planning Urban and regional growth Sustainable urban and regional development Socio-ecological systems Open Data- Big Data Cultural Heritage Smart and Sustainable Cities Mobility and Intelligent Transport Systems Geographical Information Systems Decision Support Systems Complexity assessment and mapping Logistics Workshops --------- For details visit https://iccsa.org/workshops 1) Advances in Artificial Intelligence Learning Technologies: Blended Learning, STEM, Computational Thinking and Coding (AAILT 2022) 2) Workshop on Advancements in Applied Machine-learning and Data Analytics (AAMDA 2022) 3) Automatic landform classification: spatial methods and applications (ALCSMA 2022) 4) Advances in information Systems and Technologies for Emergency management, risk assessment and mitigation based on the Resilience (ASTER 2022) 5) Advances in Web Based Learning (AWBL 2022) 6) Blockchain and Distributed Ledgers: Technologies and Applications (BDLTA 2022) 7) Bio and Neuro inspired Computing and Applications (BIONCA 2022) 8) Configurational Analysis For Cities (CA CITIES 2022) 9) Computational and Applied Mathematics (CAM 2022) 10) Computational and Applied Statistics (CAS 2022) 11) Computational Mathematics, Statistics and Information Management (CMSIM 2022) 12) Computational Optimization and Applications (COA 2022) 13) Computational Astrochemistry (CompAstro 2022) 14) Computational methods for porous geomaterials (CompPor 2022) 15) Computational Approaches for Smart, Conscious Cities (Consc-City 2022) 16) Workshop on Computational Science and HPC (CSHPC 2022) 17) Cities, Technologies and Planning (CTP 2022) 18) Digital Sustainability and Circular Economy (DiSCE 2022) 19) Econometrics and Multidimensional Evaluation in Urban Environment (EMEUE 2022) 20) Ethical AI applications for a human-centered cyber society (EthicAI 2022) 21) Future Computing System Technologies and Applications (FiSTA 2022) 22) Geographical Computing and Remote Sensing for Archaeology (GCRSArcheo 2022) 23) Geodesign in Decision Making: meta planning and collaborative design for sustainable and inclusive development. (GDM 2022) 24) Geomatics in Agriculture and Forestry: new advances and perspectives (GeoForAgr 2022) 25) Geographical Analysis, Urban Modeling, Spatial Statistics (Geog-An-Mod 2022) 26) Geomatics for Resource Monitoring and Management (GRMM 2022) 27) International Workshop on Information and Knowledge in the Internet of Things (IKIT 2022) 28) 13th International Symposium on Software Quality (ISSQ 2022) 29) Land Use monitoring for Sustanability (LUMS 2022) 30) Machine Learning for Space and Earth Observation Data (MALSEOD 2022) 31) Building multi-dimensional models for assessing complex environmental systems (MES 2022) 32) MOdels and indicators for assessing and measuring the urban settlement deVElopment in the view of ZERO net land take by 2050 (MOVEto0 2022) 33) Modelling Post-Covid cities (MPCC 2022) 34) Using microcontrollers to ensure the security of computing clusters and systems (MSCC 2022) 35) Ecosystem Services: nature’s contribution to people in practice. Assessment frameworks, models, mapping, and implications. (NC2P 2022) 36) New Mobility Choices For Sustainable and Alternative Scenarios (NEWMOB 2022) 37) 2nd Workshop on Privacy in the Cloud/Edge/IoT World (PCEIoT 2022) 38) Psycho-Social Analysis of Sustainable Mobility in The Pre- and Post-Pandemic Phase (PSYCHE 2022) 39) Processes, methods and tools towards RESilient cities and cultural heritage prone to SOD and ROD disasters (RES 2022) 40) Scientific Computing Infrastructure (SCI 2022) 41) Socio-Economic and Environmental Models for Land Use Management (SEMLUM 2022) 42) 14th International Symposium on Software Engineering Processes and Applications (SEPA 2022) 43) Ports of the future – Smartness and Sustainability (SmartPorts 2022) 44) Smart Tourism (SmartTourism 2022) 45) Sustainability Performance Assessment: models, approaches and applications toward interdisciplinary and integrated solutions (SPA 2022) 46) Specifics of smart cities development in Europe (SPEED 2022) 47) Smart and Sustainable Island Communities (SSIC 2022) 48) Theoretical and Computational Chemistry and its Applications (TCCMA 2022) 49) Transport Infrastructures for Smart Cities (TISC 2022) 50) 14th International Workshop on Tools and Techniques in Software Development Process (TTSDP 2022) 51) Urban Form Studies (UForm 2022) 52) Urban Regeneration: Innovative Tools and Evaluation Model (URITEM 2022) 53) Urban Space Accessibility and Mobilities (USAM 2022) 54) Virtual Reality and Augmented Reality and Applications (VRA 2022) 55) Workshop on Advanced and Computational Methods for Earth Science applications (WACM4ES 2022) 56) Workshop on Advanced Mathematics and Computing Methods in Complex Computational Systems (WAMCM 2022) Please pay attention, when submitting your contribution to one of the above listed Workshops, to select the right entry in the list box shown in the submission form. An author is enabled to change the workshop associated to a submitted paper until the submission deadline, by resubmitting the paper into the system. Paper Submission ---------------- >>>>>>>>>>>>>>>>>>>>>> PLEASE NOTICE THE NEW PAGE LENGTH OF LNCS FULL PAPERS REQUIRED BY SPRINGER FOR LNCS FULL PAPERS <<<<<<<<<<<<<<<<<<<<<< To submit a paper, please connect to the Submission site from the link available at the ICCSA 2022 web site: https://ess.iccsa.org. All papers should be formatted according to the LNCS or CPS rules, according to the Editor sected during the submission phase. Please consult the URL https://iccsa.org/instructions-for-authors for formatting information and templates. Only papers submitted through the electronic system and strictly adhering to the relevant format will be considered for reviewing and publication. The submission may fall into the following categories: Main Tracks and Workshops' Full Papers (LNCS or CPS), Short Papers (LNCS), and PHD Showcase Papers (CPS). MAIN TRACKS AND WORKSHOPS' FULL PAPERS (LNCS or CPS) The submitted full paper must be between 12 to 18 pages long for LNCS publication, or 7 to 11 pages for CPS publication (in such case as post-conference proceedings).Full papers will be presented during the conference and will be published by Springer LNCS or CPS. MAIN TRACKS AND WORKSHOPS' SHORT PAPERS (LNCS) Reporting preliminary results of ongoing research. The submitted paper must be between 7 and 11 pages formatted according to LNCS rules. The Short Papers will be presented during the conference and will be published by LNCS. PHD SHOWCASE PAPERS (CPS) Reporting ongoing research already achieving significant results and primarily carried out by Ph.D. students and junior researchers. The submitted paper must be between 6 to 8 pages long formatted according to CPS rules. The PHD Showcase Papers will be presented during the conference and will be published by CPS as post-conference proceedings. Each paper must deal with original and unpublished work, not submitted for publication elsewhere (copyright problems fall entirely under responsibility of the authors). Each paper will be reviewed by at least three experts in the relevant field (acceptance rate was 28% in 2005, 26% in 2006 and 28% in 2007, 29% in 2008, 30% in 2009, 29% in 2010, 2011, 2012, and 30% in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020 and 2021) ensuring the publication of only top quality contributions. When a paper is accepted at least one of the authors has to register to the conference and present the paper in the related Session (the program of Sessions will be made available before the Conference starts). Failure to do so shall lead to rejection of the application to attend next year conference and the exclusion of the paper for the current year proceedings. Important Dates --------------- April 12, 2022: Deadline for paper submission to the General Tracks (Workshops may select a different deadline) May 10, 2022: Notification of Acceptance. May 20, 2022: Early-bird Registration ends (firm deadline). May 20, 2022: Submission deadline for the final version of the Papers (firm deadline). July 4-7, 2022: ICCSA 2022 Conference Proceedings ----------- The proceedings of the Conference will be published both by Springer-Verlag (Lecture Notes in Computer Science series) and, as post-conference proceedings, by Conference Publishing Services (CPS) exclusively ONLINE (no printed copies available). In particular: 1. The selected top-quality Main Tracks and Workshops' Full Papers having adopted LNCS, will appear in the Springer-Verlag Lecture Notes in Computer Science (LNCS) series (paper length: 12-18 pages). >>>>>>>>>>>>>>>>>>>>>> PLEASE NOTICE THE NEW PAGE LENGTH OF LNCS FULL PAPERS REQUIRED BY SPRINGER FOR LNCS FULL PAPERS <<<<<<<<<<<<<<<<<<<<<< 2. The selected top-quality Workshops' Papers having adopted CPS (paper length: 7-11 pages), will appear in the CPS post-conference Proceedings. 3. Main Tracks and Workshops' Short papers (paper length: 7-11 pages) will appear in the Springer-Verlag Lecture Notes in Computer Science (LNCS) series 4. PHD Showcase Papers (paper length: 6-8 pages) will be published in the CPS post-conference Proceedings. For a selected number of top-quality papers, after the Conference, the authors will be requested to extend the paper in order to be published as special issues in appropriate international journals. Conference policy ----------------- By submitting the paper to ICCSA conference, all authors agree to abide by all ICCSA conference paper submission, publication and presentation policies. Namely, authors confirm that the work is original, has not appeared in literature in any form in the past and will not be submitted to any other venue concurrently with ICCSA submission or until it appears in ICCSA proceedings (in the case of acceptance). Furthermore, upon paper acceptance, authors agree to transfer copyright on the accepted paper to the Editor, and one of the authors will register the paper and present the paper at the event. No paper withdrawals can be accepted after Conference pre-registration date. Paper withdrawal request can be only accepted in writing through email to conference organizers. The conference has no responsibility for any intentional or accidental misuse, misinterpretation, or failure to follow above rules and conditions and holds no legal, civil or other responsibility for opinions, content or utilization of any methods/algorithms expressed in the Conference Proceedings. Contact Information ------------------- Eligius Hendrix University of Malaga (Spain) Office Málaga: Arquitectura de Computadores, Escuela de Ingenerías, 2.116D c/ Dr Ortiz Ramos, 29071, Málaga, España Office Address Wageningen: Operations Research and Logistics Group, De Leeuwenborch, Hollandseweg 1, 6706 KN Wageningen, The Netherlands Telephone Málaga: +34 951952257 Wageningen +31 317485645 email: eligius<at>uma<dot>es Osvaldo Gervasi Department of Mathematics and Computer Science, University of Perugia Via Vanvitelli, 1 06123 Perugia Italy Phone: +39-075-5855048 Fax: +39-075-5855024 Email: osvaldo <dot> gervasi <at> unipg <dot> it URL: http://ogervasi.unipg.it

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Associate Professor in AI, with a focus on knowledge and NLP
by Jean-Louis Dessalles 13 Feb '22

13 Feb '22

Télécom Paris <https://www.telecom-paris.fr/> offers a full-time tenured academic position as Associate Professor in the area of Artificial Intelligence, with a focus on knowledge, AI, and NLP. The candidate will join the DIG team (Data, Intelligence, Graphs) <https://dig.telecom-paristech.fr/>, starting September 2022. The candidate is expected to have strong skills in at least one of the following fields: • Natural Language Processing • Knowledge representation • Logic, reasoning • Online learning • Data exploration • Cognitive modeling Online application: https://institutminestelecom.recruitee.com/l/en/o/enseignantchercheur-en-la… Deadline for application: February 28, 2022 -- jean-louis Dessalles <https://www.dessalles.fr> Visit this MOOC: Understanding AI through *Algorithmic Information Theory* <https://aiai.telecom-paris.fr>. "A very interesting course that definitely changed how I see the world. Thank you so muchhh." (Hanady, 2021, betatester) "Very interesting course. It opens a lot of prospects. Thank you very much." (BORG_92, MOOC user) "/Enlightening./ Thank you for organizing this amazing course. I learned a lot! [...] After completing the course I’m now contemplating the final chapter on complexity+cognition. This chapter was so intuitive and provided such elegant explanations of human behavior." (Palmaya, MOOC user)

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[Jobs] Available Position: Professor in Artificial Intelligence (AI) at the University of Plymouth, UK
by Amir Aly 12 Feb '22

12 Feb '22

Dear All, *Apologies for cross-posting* *The School of Engineering, Computing, and Mathematics (SECaM)*, at the University of Plymouth has a unique opportunity for an outstanding academic and their team to join the School and strengthen our research, leadership, and collaboration in *Artificial Intelligence*. This is an opportunity to establish senior academic direction and growth in this core area of Artificial Intelligence and to build on multi-disciplinary collaboration, supporting the School’s strategic objectives to create a critical mass of expertise in the area of Artificial Intelligence aligning directly with Industry 4.0 and future national and international research opportunities and skills development needs. You will work together with colleagues to create a vision for our existing Centre for Robotics and Neural Systems (CRNS), which builds on the world-leading and international excellence performance in the field of computer science, social and cognitive robotics, neural computation, and others. You will join a community of over 100 staff and 2000 students who work alongside one another in world-leading facilities. This synergistic mix of academic disciplines has research strength aligned with challenges of the fourth Industrial Revolution, clean growth, digitalization, autonomy, and health technology, helping to develop pioneering, innovative solutions to real-world problems that have a genuinely positive impact upon society. The deadline is 25th February. For more information and to apply, please visit: https://hrservices.plymouth.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.o… <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fhrservice…> Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room B332, Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK

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