January 2019 - D-CON - lists.rwth-aachen.de

DeepLearn 2019: early registration February 2
by IRDTA 29 Jan '19

29 Jan '19

DeepLearn 2019: early registration February 2*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* *************************************************************** 3rd INTERNATIONAL SUMMER SCHOOL ON DEEP LEARNING DeepLearn 2019 Warsaw, Poland July 22-26, 2019 Co-organized by: Institute of Computer Science, Polish Academy of Sciences IRDTA – Brussels/London http://deeplearn2019.irdta.eu/ *************************************************************** SCOPE: DeepLearn 2019 will be a research training event with a global scope aiming at updating participants about the most recent advances in the critical and fast developing area of deep learning. This is a branch of artificial intelligence covering a spectrum of current exciting machine learning research and industrial innovation that provides more efficient algorithms to deal with large-scale data in neurosciences, computer vision, speech recognition, language processing, human-computer interaction, drug discovery, biomedical informatics, healthcare, recommender systems, learning theory, robotics, games, etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 2 keynote lectures, 24 four-hour and a half courses, and 1 round table, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Interaction will be a main component of the event. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. ADDRESSED TO: Master's students, PhD students, postdocs, and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2019 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen and discuss with major researchers, industry leaders and innovators. STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. VENUE: DeepLearn 2019 will take place in Warsaw, whose historical Old Town was designated a UNESCO World Heritage Site. The venue will be: tba KEYNOTE SPEAKERS: tba PROFESSORS AND COURSES: (to be completed) Pierre Baldi (University of California, Irvine), [intermediate/advanced] Deep Learning: Theory, Algorithms, and Applications to the Natural Sciences Christopher Bishop (Microsoft Research Cambridge), [introductory] Introduction to the Key Concepts and Techniques of Machine Learning Aaron Courville (University of Montréal), [introductory/intermediate] Deep Generative Models Sergei V. Gleyzer (University of Florida), [introductory/intermediate] Feature Extraction, End-end Deep Learning and Applications to Very Large Scientific Data: Rare Signal Extraction, Uncertainty Estimation and Realtime Machine Learning Applications in Software and Hardware Tomas Mikolov (Facebook), [introductory] Using Neural Networks for Modeling and Representing Natural Languages (with Armand Joulin) Hermann Ney (RWTH Aachen University), [intermediate/advanced] Speech Recognition and Machine Translation: From Statistical Decision Theory to Machine Learning and Deep Neural Networks Navraj Pannu (GoDaddy), [introductory/intermediate] Deep Learning and Maximum Likelihood in Structural Biology Jose C. Principe (University of Florida), [intermediate/advanced] Cognitive Architectures for Object Recognition in Video Björn Schuller (Imperial College London), [introductory/intermediate] Deep Learning for Intelligent Signal Processing Alex Smola (Amazon), tba Sargur Srihari (University at Buffalo), [intermediate/advanced] Explainable Artificial Intelligence Ponnuthurai N Suganthan (Nanyang Technological University), [introductory/intermediate] Learning Algorithms for Classification, Forecasting and Visual Tracking Johan Suykens (KU Leuven), [introductory/intermediate] Deep Learning, Neural Networks and Kernel Machines Alexey Svyatkovskiy (Princeton University), [introductory/intermediate] From Natural Language Processing to Machine Learning on Source Code Gaël Varoquaux (INRIA), [intermediate] Representation Learning in Limited Data Settings René Vidal (Johns Hopkins University), [intermediate/advanced] Mathematics of Deep Learning Haixun Wang (WeWork), [intermediate] Abstractions, Concepts, and Machine Learning Zhongfei Zhang (Binghamton University), tba OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing title, authors, and summary of the research to david(a)irdta.eu by July 14, 2019. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. At least one of the people participating in the demonstration must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by July 14, 2019. EMPLOYER SESSION: Firms searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for, to be circulated among the participants prior to the event. At least one of the people in charge of the search must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by July 14, 2019. ORGANIZING COMMITTEE: Łukasz Kobyliński (Warsaw, co-chair) Sara Morales (Brussels) Manuel J. Parra-Royón (Granada) David Silva (London, co-chair) REGISTRATION: It has to be done at http://deeplearn2019.irdta.eu/registration/ The selection of up to 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration facility disabled when the capacity of the venue is exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. ACCOMMODATION: Suggestions for accommodation will be available in due time. CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david(a)irdta.eu ACKNOWLEDGMENTS: Institute of Computer Science, Polish Academy of Sciences Institute for Research Development, Training and Advice (IRDTA) – Brussels/London

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EXPRESS/SOS 2019 (Amsterdam, co-located with CONCUR 2019) - First CfP
by Emanuele D'Osualdo 25 Jan '19

25 Jan '19

[ Please distribute widely - apologies for multiple postings. ] =========================================== FIRST CALL FOR PAPERS Combined 26th International Workshop on Expressiveness in Concurrency and 16th Workshop on Structural Operational Semantics (EXPRESS/SOS 2019) https://express-sos2019.cs.ru.nl Amsterdam (The Netherlands) August 26, 2019, Affiliated with CONCUR 2019 Submission deadline (full and short papers): Friday, June 21, 2019 =========================================== == SCOPE AND TOPICS The EXPRESS/SOS workshop series aims at bringing together researchers interested in the formal semantics of systems and programming concepts, and in the expressiveness of computational models. Topics of interest for EXPRESS/SOS 2019 include, but are not limited to: - expressiveness and rigorous comparisons between models of computation (process algebras, event structures, Petri nets, rewrite systems) - expressiveness and rigorous comparisons between programming languages and models (distributed, component-based, object-oriented, service-oriented); - logics for concurrency (modal logics, probabilistic and stochastic logics, temporal logics and resource logics); - analysis techniques for concurrent systems; - theory of structural operational semantics (meta-theory, category-theoretic approaches, congruence results); - comparisons between structural operational semantics and other formal semantic approaches; - applications and case studies of structural operational semantics; - software tools that automate, or are based on, structural operational semantics. We especially welcome contributions bridging the gap between the above topics and neighbouring areas, such as, for instance: - computer security - multi-agent systems - programming languages and formal verification - reversible computation - knowledge representation == SUBMISSION GUIDELINES: We invite two types of submissions: * Full papers (up to 15 pages, excluding references). * Short papers (up to 5 pages, excluding references, not included in the workshop proceedings) All submissions should adhere to the EPTCS format (http://www.eptcs.org). Simultaneous submission to journals, conferences or other workshops is only allowed for short papers; full papers must be unpublished. Submission is performed through EasyChair: https://easychair.org/conferences/?conf=expresssos2019 The final versions of accepted full papers will be published in EPTCS. It is understood that for each accepted submission one of the co-authors will register to the workshop and give the talk. == SPECIAL ISSUE There is a long tradition of special issues of reputed international journals devoted to the very best papers presented in prior editions of the workshop. For instance, a special issue of Information and Computation with selected papers from EXPRESS/SOS 2018 is currently in progress. We will consider organizing a special issue for EXPRESS/SOS 2019. == INVITED SPEAKERS - Yuxin Deng (East China Normal University, China) - Tom Hirschowitz (CNRS / Savoie Mont Blanc University, France) - Kirstin Peters (TU Berlin, Germany) == IMPORTANT DATES - Paper submission: June 21, 2019 - Notification date: July 26, 2019 - Camera ready version: August 11, 2019 - Workshop: August 26, 2019 == WORKSHOP CO-CHAIRS: Jorge A. Pérez (University of Groningen, The Netherlands) Jurriaan Rot (Radboud University, The Netherlands) == PROGRAM COMMITTEE: Roberto Bruni (Università di Pisa, Italy) Ilaria Castellani (INRIA, France) Valentina Castiglioni (INRIA Saclay, France) Matteo Cimini (University of Massachusetts Lowell, US) -- *Emanuele D'Osualdo* *Research Fellow in Computer Science*Imperial College London *office* Huxley building, room 433 *web *emanueledosualdo.com *email* e.dosualdo(a)imperial.ac.uk *mobile* +44 (0)7465231021 D'Osualdo (Imperial College London, UK) Adrian Francalanza (University of Malta, Malta) Jean-Marie Madiot (INRIA, France) Marino Miculan (University of Udine, Italy) Mohammadreza Mousavi (University of Leicester, UK) Jovanka Pantovic (University of Novi Sad, Serbia) Jorge A. Pérez (University of Groningen, The Netherlands) - co-chair Jurriaan Rot (Radboud University, The Netherlands) - co-chair Erik de Vink (Eindhoven University of Technology, The Netherlands) == CONTACT Prospective authors are encouraged to contact the co-chairs in case of questions: express-sos19(a)easychair.org -- *Emanuele D'Osualdo* *Marie Curie Research Fellow*Imperial College London *office* Huxley building, room 433 *web *emanueledosualdo.com *email* e.dosualdo(a)imperial.ac.uk

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unsubscribe
by Eike Best 22 Jan '19

22 Jan '19

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DeepLearn 2019: early registration February 2
by IRDTA 22 Jan '19

22 Jan '19

DeepLearn 2019: early registration February 2*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* *************************************************************** 3rd INTERNATIONAL SUMMER SCHOOL ON DEEP LEARNING DeepLearn 2019 Warsaw, Poland July 22-26, 2019 Co-organized by: Institute of Computer Science, Polish Academy of Sciences IRDTA – Brussels/London http://deeplearn2019.irdta.eu/ *************************************************************** SCOPE: DeepLearn 2019 will be a research training event with a global scope aiming at updating participants about the most recent advances in the critical and fast developing area of deep learning. This is a branch of artificial intelligence covering a spectrum of current exciting machine learning research and industrial innovation that provides more efficient algorithms to deal with large-scale data in neurosciences, computer vision, speech recognition, language processing, human-computer interaction, drug discovery, biomedical informatics, healthcare, recommender systems, learning theory, robotics, games, etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 2 keynote lectures, 24 four-hour and a half courses, and 1 round table, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Interaction will be a main component of the event. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. ADDRESSED TO: Master's students, PhD students, postdocs, and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2019 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen and discuss with major researchers, industry leaders and innovators. STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. VENUE: DeepLearn 2019 will take place in Warsaw, whose historical Old Town was designated a UNESCO World Heritage Site. The venue will be: tba KEYNOTE SPEAKERS: tba PROFESSORS AND COURSES: (to be completed) Pierre Baldi (University of California, Irvine), [intermediate/advanced] Deep Learning: Theory, Algorithms, and Applications to the Natural Sciences Christopher Bishop (Microsoft Research Cambridge), [introductory] Introduction to the Key Concepts and Techniques of Machine Learning Aaron Courville (University of Montréal), [introductory/intermediate] Deep Generative Models Sergei V. Gleyzer (University of Florida), [introductory/intermediate] Feature Extraction, End-end Deep Learning and Applications to Very Large Scientific Data: Rare Signal Extraction, Uncertainty Estimation and Realtime Machine Learning Applications in Software and Hardware Tomas Mikolov (Facebook), [introductory] Using Neural Networks for Modeling and Representing Natural Languages (with Armand Joulin) Hermann Ney (RWTH Aachen University), [intermediate/advanced] Speech Recognition and Machine Translation: From Statistical Decision Theory to Machine Learning and Deep Neural Networks Navraj Pannu (GoDaddy), [introductory/intermediate] Deep Learning and Maximum Likelihood in Structural Biology Jose C. Principe (University of Florida), [intermediate/advanced] Cognitive Architectures for Object Recognition in Video Björn Schuller (Imperial College London), [introductory/intermediate] Deep Learning for Intelligent Signal Processing Alex Smola (Amazon), tba Ponnuthurai N Suganthan (Nanyang Technological University), [introductory/intermediate] Learning Algorithms for Classification, Forecasting and Visual Tracking Johan Suykens (KU Leuven), [introductory/intermediate] Deep Learning, Neural Networks and Kernel Machines Alexey Svyatkovskiy (Princeton University), [introductory/intermediate] From Natural Language Processing to Machine Learning on Source Code Gaël Varoquaux (INRIA), [intermediate] Representation Learning in Limited Data Settings René Vidal (Johns Hopkins University), [intermediate/advanced] Mathematics of Deep Learning OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing title, authors, and summary of the research to david(a)irdta.eu by July 14, 2019. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. At least one of the people participating in the demonstration must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by July 14, 2019. EMPLOYER SESSION: Firms searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for, to be circulated among the participants prior to the event. At least one of the people in charge of the search must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by July 14, 2019. ORGANIZING COMMITTEE: Łukasz Kobyliński (Warsaw, co-chair) Sara Morales (Brussels) Manuel J. Parra-Royón (Granada) David Silva (London, co-chair) REGISTRATION: It has to be done at http://deeplearn2019.irdta.eu/registration/ The selection of up to 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration facility disabled when the capacity of the venue is exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. ACCOMMODATION: Suggestions for accommodation will be available in due time. CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david(a)irdta.eu ACKNOWLEDGMENTS: Institute of Computer Science, Polish Academy of Sciences Institute for Research Development, Training and Advice (IRDTA) – Brussels/London

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DeepLearn 2019: early registration February 2
by IRDTA 15 Jan '19

15 Jan '19

DeepLearn 2019: early registration February 2*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* *************************************************************** 3rd INTERNATIONAL SUMMER SCHOOL ON DEEP LEARNING DeepLearn 2019 Warsaw, Poland July 22-26, 2019 Co-organized by: Institute of Computer Science, Polish Academy of Sciences IRDTA – Brussels/London http://deeplearn2019.irdta.eu/ *************************************************************** SCOPE: DeepLearn 2019 will be a research training event with a global scope aiming at updating participants about the most recent advances in the critical and fast developing area of deep learning. This is a branch of artificial intelligence covering a spectrum of current exciting machine learning research and industrial innovation that provides more efficient algorithms to deal with large-scale data in neurosciences, computer vision, speech recognition, language processing, human-computer interaction, drug discovery, biomedical informatics, healthcare, recommender systems, learning theory, robotics, games, etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 2 keynote lectures, 24 four-hour and a half courses, and 1 round table, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Interaction will be a main component of the event. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. ADDRESSED TO: Master's students, PhD students, postdocs, and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2019 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen and discuss with major researchers, industry leaders and innovators. STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. VENUE: DeepLearn 2019 will take place in Warsaw, whose historical Old Town was designated a UNESCO World Heritage Site. The venue will be: tba KEYNOTE SPEAKERS: tba PROFESSORS AND COURSES: (to be completed) Pierre Baldi (University of California, Irvine), [intermediate/advanced] Deep Learning: Theory, Algorithms, and Applications to the Natural Sciences Christopher Bishop (Microsoft Research Cambridge), [introductory] Introduction to the Key Concepts and Techniques of Machine Learning Aaron Courville (University of Montréal), [introductory/intermediate] Deep Generative Models Sergei V. Gleyzer (University of Florida), [introductory/intermediate] Feature Extraction, End-end Deep Learning and Applications to Very Large Scientific Data: Rare Signal Extraction, Uncertainty Estimation and Realtime Machine Learning Applications in Software and Hardware Tomas Mikolov (Facebook), [introductory] Using Neural Networks for Modeling and Representing Natural Languages (with Armand Joulin) Hermann Ney (RWTH Aachen University), [intermediate/advanced] Speech Recognition and Machine Translation: From Statistical Decision Theory to Machine Learning and Deep Neural Networks Navraj Pannu (GoDaddy), [introductory/intermediate] Deep Learning and Maximum Likelihood in Structural Biology Jose C. Principe (University of Florida), [intermediate/advanced] Cognitive Architectures for Object Recognition in Video Björn Schuller (Imperial College London), [introductory/intermediate] Deep Learning for Intelligent Signal Processing Alex Smola (Amazon), tba Ponnuthurai N Suganthan (Nanyang Technological University), [introductory/intermediate] Learning Algorithms for Classification, Forecasting and Visual Tracking Johan Suykens (KU Leuven), [introductory/intermediate] Deep Learning, Neural Networks and Kernel Machines Alexey Svyatkovskiy (Princeton University), [introductory/intermediate] From Natural Language Processing to Machine Learning on Source Code Gaël Varoquaux (INRIA), [intermediate] Representation Learning in Limited Data Settings OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing title, authors, and summary of the research to david(a)irdta.eu by July 14, 2019. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. At least one of the people participating in the demonstration must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by July 14, 2019. EMPLOYER SESSION: Firms searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for, to be circulated among the participants prior to the event. At least one of the people in charge of the search must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by July 14, 2019. ORGANIZING COMMITTEE: Łukasz Kobyliński (Warsaw, co-chair) Sara Morales (Brussels) Manuel J. Parra-Royón (Granada) David Silva (London, co-chair) REGISTRATION: It has to be done at http://deeplearn2019.irdta.eu/registration/ The selection of up to 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration facility disabled when the capacity of the venue is exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. ACCOMMODATION: Suggestions for accommodation will be available in due time. CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david(a)irdta.eu ACKNOWLEDGMENTS: Institute of Computer Science, Polish Academy of Sciences Institute for Research Development, Training and Advice (IRDTA) – Brussels/London

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CONCUR 2019 Call for Workshop Proposals
by Luttik, S.P. 10 Jan '19

10 Jan '19

* *CONCUR 2019* * THE 30TH INTERNATIONAL CONFERENCE ON CONCURRENCY THEORY August 26-31, 2019, Amsterdam, The Netherlands (https://event.cwi.nl/concur2019/) CALL FOR AFFILIATED WORKSHOPS The 30th Conference on Concurrency Theory (CONCUR 2019) will be held from August 26 until August 31, 2019 in Amsterdam, The Netherlands. It will be co-located with the 17th International Conference on Formal Modelling and Analysis of Timed Systems (FORMATS 2019). Researchers and practitioners are invited to submit proposals for workshops to be affiliated to CONCUR 2019, on topics related to concurrency theory and its applications. Example topics include: semantics, logics, verification techniques for concurrent systems, cross-fertilization between industry and academia and opportunities for young and prospective researchers. Past CONCUR conferences have been accompanied by successful workshops on a variety of topics, such as formal and foundational methods, models of systems (biological, timed), security issues, semantical issues, and verification methods. You can have an idea of the past workshops by browsing the pages of the past editions of CONCUR. The purpose of the workshops is to provide participants with a friendly, interactive atmosphere for presenting novel ideas and discussing their application. The workshops take place on Monday August 26, 2019 and Saturday August 31, 2019. Proposals should include: * The name and the preferred date of the proposed workshop (August 26 or 31, 2019) * A short description of the workshop (500 words max) * If applicable, a description of past versions of the workshop, including dates, organisers, submission and acceptance counts, and attendance * The expected number of participants * The name and short CV of the organiser(s) * The publication plan (only invited speakers, no published proceedings, pre-/post-proceedings published with EPTCS/ENTCS/...). The CONCUR organisation offers: * a link from the CONCUR web site; * setup of meeting space, and related equipment, * coffee-breaks and lunch for the participants on the day of the workshop, * on-line and on-site registration to the workshop, * free workshop registrations for an invited speaker and one or two organisers. The main responsibility for organising the workshop goes to the workshop organiser(s), including: * workshop publicity (possibly including call for papers, submission and review process) * scheduling workshop activities in collaboration with the CONCUR workshop chair. IMPORTANT DATES Submission of workshop proposals: February 1, 2019 (but we greatly appreciate if you announce your proposal to us as soon as possible). Notification: February 15, 2019 SUBMISSION TO: Bas Luttik (s.p.luttik at tue.nl) For more information, please contact me via email (s.p.luttik at tue.nl) The CONCUR 2019 workshop chair, Bas Luttik https://www.win.tue.nl/~luttik Eindhoven University of Technology

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AlCoB 2019: submission deadline extended to January 19
by IRDTA 08 Jan '19

08 Jan '19

AlCoB 2019: submission deadline extended to January 19*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* ------------------------------------------------------------------------------ ***** SUBMISSION DEADLINE EXTENDED: January 19 ***** ------------------------------------------------------------------------------ ********************************************************************************** 6th INTERNATIONAL CONFERENCE ON ALGORITHMS FOR COMPUTATIONAL BIOLOGY AlCoB 2019 Berkeley, California, USA May 28-30, 2019 Co-organized by: University of California, Berkeley Institute for Research Development, Training and Advice, Brussels/London http://alcob2019.irdta.eu/ ********************************************************************************** AIMS: AlCoB aims at promoting and displaying excellent research using string and graph algorithms and combinatorial optimization to deal with problems in biological sequence analysis, genome rearrangement, evolutionary trees, and structure prediction. Previous events were held in Tarragona, Mexico City, Trujillo (Spain), Aveiro, and Hong Kong. The conference will address several of the current challenges in computational biology by investigating algorithms aimed at: 1) assembling sequence reads into a complete genome, 2) identifying gene structures in the genome, 3) recognizing regulatory motifs, 4) aligning nucleotides and comparing genomes, 5) reconstructing regulatory networks of genes, and 6) inferring the evolutionary phylogeny of species. Special focus will be put on methodology and significant room will be reserved to young scholars at the beginning of their career. VENUE: AlCoB 2019 will take place in Berkeley, home to the oldest campus in the highly prestigious University of California system. The venue will be: University of California, Berkeley SCOPE: Topics of either theoretical or applied interest include, but are not limited to: Sequence analysis Sequence alignment Sequence assembly Genome rearrangement Regulatory motif finding Phylogeny reconstruction Phylogeny comparison Structure prediction Compressive genomics Proteomics: molecular pathways, interaction networks, mass spectrometry analysis Transcriptomics: splicing variants, isoform inference and quantification, differential analysis Next-generation sequencing: population genomics, metagenomics, metatranscriptomics, epigenomics Genome CD architecture Microbiome analysis Cancer computational biology Systems biology STRUCTURE: AlCoB 2019 will consist of: invited lectures peer-reviewed contributions posters INVITED SPEAKERS: Igor Jurisica (University of Toronto), Explanable AI for Data-driven Medicine Lior Pachter (California Institute of Technology), Algorithms for Single-cell Genomics Pavel A. Pevzner (University of California, San Diego), Bioinformatics: A Servant or the Queen of Molecular Biology? Teresa Przytycka (National Center for Biotechnology Information), Exploring Phenotypic Heterogeneity across Tissues and Conditions with Network-based Approaches Tandy Warnow (University of Illinois, Urbana-Champaign), Advances in Mathematical Approaches to Constructing the Tree of Life PROGRAMME COMMITTEE: Can Alkan (Bilkent University, TR) Stephen Altschul (National Center for Biotechnology Information, US) Philipp Bucher (Swiss Institute for Experimental Cancer Research, CH) Ken Chen (MD Anderson Cancer Center, US) Keith A. Crandall (George Washington University, US) Colin Dewey (University of Wisconsin, Madison, US) Eytan Domany (Weizmann Institute of Science, IL) Robert Edgar (independent, US) Dmitrij Frishman (Technical University of Munich, DE) Susumu Goto (Research Organization of Information and Systems, JP) Desmond Higgins (University College Dublin, IE) Karsten Hokamp (Trinity College Dublin, IE) Ian Holmes (University of California, Berkeley, US) Fereydoun Hormozdiari (University of California, Davis, US) Daniel Huson (University of Tübingen, DE) Martijn Huynen (Radboud University Medical Centre, NL) Peter Karp (SRI International, US) Kazutaka Katoh (Osaka University, JP) Anders Krogh (University of Copenhagen, DK) Doron Lancet (Weizmann Institute of Science, IL) Alla Lapidus (Saint Petersburg State University, RU) Ming Li (University of Waterloo, CA) Gerard Manning (Genentech, US) Carlos Martín-Vide (Rovira i Virgili University, ES, chair) David H. Mathews (University of Rochester Medical Center, US) Aaron McKenna (University of Washington, US) Jason Rafe Miller (Shepherd University, US) Aleksandar Milosavljevic (Baylor College of Medicine, US) Yasukazu Nakamura (National Institute of Genetics, JP) Zemin Ning (Wellcome Trust Sanger Institute, UK) William Stafford Noble (University of Washington, US) Sandra Orchard (European Bioinformatics Institute, UK) William Pearson (University of Virginia, US) Matteo Pellegrini (University of California, Los Angeles, US) Mihaela Pertea (Johns Hopkins University, US) Steve Rozen (Duke-NUS Medical School, SG) David Sankoff (University of Ottawa, CA) Russell Schwartz (Carnegie Mellon University, US) Wing-Kin Sung (National University of Singapore, SG) Alfonso Valencia (Barcelona Supercomputing Centre, ES) Arndt von Haeseler (Center for Integrative Bioinformatics Vienna, AT) Kai Wang (Children's Hospital of Philadelphia, US) ORGANIZING COMMITTEE: Ian Holmes (Berkeley, co-chair) Sara Morales (Brussels) Manuel Parra-Royón (Granada) David Silva (London, co-chair) Miguel A. Vega-Rodríguez (Cáceres) SUBMISSIONS: Authors are invited to submit non-anonymized papers in English presenting original and unpublished research. Papers should not exceed 12 single-spaced pages (all included) and should be prepared according to the standard format for Springer Verlag's LNCS series (see http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0). Submissions have to be uploaded to: https://easychair.org/conferences/?conf=alcob2019 PUBLICATIONS: A volume of proceedings published by Springer in the LNCS/LNBI series will be available by the time of the conference. A special issue of IEEE/ACM Transactions on Computational Biology and Bioinformatics (2017 JCR impact factor: 2.428) will be later published containing peer-reviewed substantially extended versions of some of the papers contributed to the conference. Submissions to it will be by invitation. REGISTRATION: The registration form can be found at: http://alcob2019.irdta.eu/Registration.php DEADLINES (all at 23:59 CET): Paper submission: January 19, 2018 – EXTENDED – Notification of paper acceptance or rejection: February 19, 2019 Final version of the paper for the LNCS/LNBI proceedings: February 26, 2019 Early registration: February 26, 2019 Late registration: May 14, 2019 Submission to the journal special issue: August 30, 2019 QUESTIONS AND FURTHER INFORMATION: david (at) irdta.eu ACKNOWLEDGEMENTS: University of California, Berkeley IRDTA – Institute for Research Development, Training and Advice, Brussels/London

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BigDat 2019: regular registration January 4
by IRDTA 02 Jan '19

02 Jan '19

BigDat 2019: regular registration January 4*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* ******************************************************** 5th INTERNATIONAL WINTER SCHOOL ON BIG DATA BigDat 2019 Cambridge, United Kingdom January 7-11, 2019 Co-organized by: Cambridge Big Data Initiative, University of Cambridge Institute for Research Development, Training and Advice (IRDTA) Brussels / London http://bigdat2019.irdta.eu/ ******************************************************** --- Regular registration deadline: January 4, 2019 --- ******************************************************** SCOPE: BigDat 2019 will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of big data, which covers a large spectrum of current exciting research and industrial innovation with an extraordinary potential for a huge impact on scientific discoveries, medicine, engineering, business models, and society itself. Renowned academics and industry pioneers will lecture and share their views with the audience. Most big data subareas will be displayed, namely foundations, infrastructure, management, search and mining, security and privacy, and applications (to biological and health sciences, to business, finance and transportation, to online social networks, etc.). Major challenges of analytics, management and storage of big data will be identified through 2 keynote lectures, 24 four-hour courses, and 1 round table, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Interaction will be a main component of the event. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. ADDRESSED TO: Master's students, PhD students, postdocs, and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, BigDat 2019 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen and discuss with major researchers, industry leaders and innovators. STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. VENUE: BigDat 2019 will take place in Cambridge, a city home of a world-renowned university. The venue will be: University of Cambridge Department of Engineering Trumpington Street Cambridge CB2 1PZ KEYNOTE SPEAKER: Kenji Takeda (Director, Health and AI Partnerships, Microsoft Research), Big Data and AI - What's It Really Good for? PROFESSORS AND COURSES: Thomas Bäck (Leiden University), [introductory/intermediate], Data Driven Modeling and Optimization for Industrial Applications Richard Bonneau (New York University), [introductory] Large Scale Machine Learning Methods for Integrating Protein Sequence and Structure to Predict Gene Function Altan Cakir (Istanbul Technical University), [introductory/intermediate] Processing Big Data with Apache Spark: From Science to Industrial Applications Jiannong Cao (Hong Kong Polytechnic University), [introductory/intermediate] Cross-domain Multi-source Big Data Fusion and Analytics Nitesh Chawla (University of Notre Dame), [intermediate/advanced] Network Science: Representation Learning and Higher Order Networks Nello Cristianini (University of Bristol), [introductory] The Interface between Big Data and Society Geoffrey C. Fox (Indiana University, Bloomington), [intermediate] High Performance Big Data Computing David Gerbing (Portland State University), [introductory] Data Visualization with R Craig Knoblock (University of Southern California), [intermediate/advanced] Building Knowledge Graphs Geoff McLachlan (University of Queensland), [intermediate/advanced] Applying Finite Mixture Models to Big Data Folker Meyer (Argonne National Laboratory), [intermediate] Skyport2: A Multi Cloud Framework for Executing Scientific Workflows Wladek Minor (University of Virginia), [introductory/advanced] Big Data in Biomedical Sciences Soumya Mohanty (University of Texas Rio Grande Valley), [introductory/intermediate] Swarm Intelligence Methods for Statistical Regression Sankar K. Pal (Indian Statistical Institute), [introductory/advanced] Machine Intelligence and Soft Granular Mining: Features, Applications and Challenges Lior Rokach (Ben-Gurion University of the Negev), [introductory/advanced] Ensemble Learning Michael Rosenblum (University of Potsdam), [introductory/intermediate] Synchronization Approach to Time Series Analysis Hanan Samet (University of Maryland), [introductory/intermediate] Sorting in Space: Multidimensional, Spatial, and Metric Data Structures for Applications in Spatial and Spatio-textual Databases, Geographic Information Systems (GIS), and Location-based Services Rory Smith (Monash University), [intermediate/advanced] Statistical Inference: Optimal Methods for Learning from Signals in Noise Jaideep Srivastava (University of Minnesota), [intermediate] Social Computing – Concepts and Applications Mayte Suárez-Fariñas (Icahn School of Medicine at Mount Sinai), [intermediate] A Practical Guide to the Analysis of Longitudinal Data Using R Jeffrey Ullman (Stanford University), [introductory] Big-data Algorithms That Aren't Machine Learning Andrey Ustyuzhanin (National Research University Higher School of Economics), [intermediate/advanced] Challenge-driven Data Science: Cracking Domain Problems by Crowd Intelligence Wil van der Aalst (RWTH Aachen University), [introductory/intermediate] Process Mining: Data Science in Action Zhongfei Zhang (Binghamton University), [introductory/advanced] Relational and Multimedia Data Learning OPEN SESSION An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing title, authors, and summary of the research to david(a)irdta.eu by December 30, 2018. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of big data in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. At least one of the people participating in the demonstration must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by December 30, 2018. EMPLOYER SESSION: Firms searching for personnel well skilled in big data will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for, to be circulated among the participants prior to the event. At least one of the people in charge of the search must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by December 30, 2018. ORGANIZING COMMITTEE: Chiara Paola Codebò (Genova) Sara Morales (Brussels) Manuel J. Parra-Royón (Granada) Jeffrey Salmond (Cambridge) David Silva (London, co-chair) Filippo Spiga (Cambridge, co-chair) Richard E. Turner (Cambridge) REGISTRATION: It has to be done at http://bigdat2019.irdta.eu/registration/ The selection of up to 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an approximation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration facility disabled when the capacity of the venue is exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. ACCOMMODATION: Suggestions for accommodation are available on the event website. CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david(a)irdta.eu ACKNOWLEDGMENTS: Cambridge Big Data Initiative, University of Cambridge Institute for Research Development, Training and Advice (IRDTA) – Brussels/London

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