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AlCoB 2020: 3rd call for papers
by IRDTA 23 Nov '19

23 Nov '19

AlCoB 2020: 3rd call for papers*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* ********************************************************************************** 7th INTERNATIONAL CONFERENCE ON ALGORITHMS FOR COMPUTATIONAL BIOLOGY AlCoB 2020 Missoula, Montana, USA April 13-15, 2020 Co-organized by: Department of Computer Science University of Montana and Institute for Research Development, Training and Advice Brussels/London https://alcob2020.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, phylogeny reconstruction, and structure prediction. Previous events were held in Tarragona, Mexico City, Trujillo (Spain), Aveiro, Hong Kong and Berkeley. The conference will address several of the current challenges in computational biology, with topics including: 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 for scholars at the beginning of their career. VENUE: AlCoB 2020 will take place in Missoula, Montana, a college town located in the heart of the Rocky Mountains, near Glacier National Park and Yellowstone National Park. The meeting will be hosted in the University Center, a few hundred feet from the base of Mount Sentinel. 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 2020 will consist of: invited lectures peer-reviewed contributions posters KEYNOTE SPEAKERS: (to be completed) Christine Orengo (University College London), tba Tamar Schlick (New York University), Folding Genes at Nucleosome Resolution PROGRAMME COMMITTEE: Mani Arumugam (University of Copenhagen, DK) Colin Dewey (University of Wisconsin, Madison, US) Joe Felsenstein (University of Washington, US) Olivier Gascuel (Pasteur Institute, FR) Debashis Ghosh (University of Colorado, US) Daniel Huson (University of Tübingen, DE) Miriam Konkel (Clemson University, US) Alla Lapidus (Saint Petersburg State University, RU) Aron Marchler-Bauer (National Center for Biotechnology Information, US) Maria-Jesus Martin (European Bioinformatics Institute, UK) Carlos Martín-Vide (Rovira i Virgili University, ES, chair) David H. Mathews (University of Rochester, US) Aaron McKenna (Dartmouth College, US) Ryan E. Mills (University of Michigan, US) Burkhard Morgenstern (University of Göttingen, DE) Sayan Mukherjee (Duke University, US) Houtan Noushmehr (Henry Ford Health System, US) Knut Reinert (Free University of Berlin, DE) Joel Rozowsky (Yale University, US) Russell Schwartz (Carnegie Mellon University, US) Temple F. Smith (Boston University, US) James Taylor (Johns Hopkins University, US) Zlatko Trajanoski (Medical University of Innsbruck, AT) David A. Wheeler (Baylor College of Medicine, US) Travis Wheeler (University of Montana, US) Shibu Yooseph (University of Central Florida, US) ORGANIZING COMMITTEE: Sara Morales (Brussels) Manuel Parra-Royón (Granada) David Silva (London, co-chair) Miguel A. Vega-Rodríguez (Cáceres) Travis Wheeler (Missoula, co-chair) 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). Upload submissions to: https://easychair.org/conferences/?conf=alcob2020 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 a major journal 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: https://alcob2020.irdta.eu/registration/ DEADLINES (all at 23:59 CET): Paper submission: December 2, 2019 Notification of paper acceptance or rejection: January 6, 2020 Final version of the paper for the LNCS/LNBI proceedings: January 13, 2020 Early registration: January 13, 2020 Late registration: March 30, 2020 Submission to the journal special issue: July 15, 2020 QUESTIONS AND FURTHER INFORMATION: david (at) irdta.eu ACKNOWLEDGEMENTS: University of Montana IRDTA – Institute for Research Development, Training and Advice, Brussels/London

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BigDat 2020: early registration November 21
by IRDTA 17 Nov '19

17 Nov '19

BigDat 2020: early registration November 21*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* ******************************************************** 6th INTERNATIONAL WINTER SCHOOL ON BIG DATA BigDat 2020 Ancona, Italy January 13-17, 2020 Co-organized by: Department of Information Engineering, Marche Polytechnic University Institute for Research Development, Training and Advice (IRDTA) Brussels / London https://bigdat2020.irdta.eu/ ******************************************************** --- Early registration deadline: November 21, 2019 --- ******************************************************** SCOPE: BigDat 2020 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 22 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, BigDat 2020 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 2020 will take place in Ancona, a city founded by Greek settlers and today one of the main ports on the Adriatic Sea. The venue will be: Department of Information Engineering Marche Polytechnic University Via Brecce Bianche 12 60131 Ancona PROFESSORS AND COURSES: Sanchita Bhattacharya (University of California, San Francisco), [introductory/advanced] Big Data in Immunology: Sharing, Dissemination, and Repurposing Diego Calvanese (Free University of Bozen-Bolzano), [introductory] Virtual Knowledge Graphs for Data Integration Sheelagh Carpendale (University of Calgary), [introductory] Data Visualization Nitesh V. Chawla (University of Notre Dame), [intermediate/advanced] Learning in the Presence of Class Imbalance and Changing Distributions Amr El Abbadi (University of California, Santa Barbara), [introductory/intermediate] An Introduction to Blockchain Charles Elkan (University of California, San Diego), [intermediate] A Rapid Introduction to Modern Deep Learning Minos Garofalakis (Technical University of Crete), [intermediate/advanced] Private Data Analytics at Scale Jiawei Han (University of Illinois, Urbana-Champaign), [intermediate/advanced] From Unstructured Text to TextCube: Automated Construction and Multidimensional Exploration Xiaohua Tony Hu (Drexel University), [introductory/advanced] Machine Learning Methods for Big Microbiome Data Analysis Craig Knoblock (University of Southern California), [intermediate/advanced] Building Knowledge Graphs Wladek Minor (University of Virginia), [introductory/advanced] Big Data in Biomedical Sciences Bamshad Mobasher (DePaul University), [intermediate] Context-aware Recommender Systems Jayanti Prasad (Embold Technologies), [introductory/intermediate] Big Code Lior Rokach and Bracha Shapira (Ben-Gurion University of the Negev), [introductory/intermediate] Recommender Systems Peter Rousseeuw (KU Leuven), [introductory] Anomaly Detection by Robust Methods Asim Roy (Arizona State University), [intermediate] Hardware-based (GPU, FPGA based) Machine Learning That Exploits Massively Parallel Computing – An Overview of Concepts, Architectures and Neural Network Algorithm Implementation 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), [introductory/intermediate] Learning from Data, the Bayesian Way Jaideep Srivastava (University of Minnesota), [introductory/intermediate] Social Computing Mayte Suárez-Fariñas (Icahn School of Medicine at Mount Sinai), [intermediate/advanced] Meta-analysis Methods for High-dimensional Data Jeffrey Ullman (Stanford University), [introductory] Big-data Algorithms That Aren't Machine Learning (remote) Wil van der Aalst (RWTH Aachen University), [introductory/intermediate] Process Mining: A Very Different Kind of Machine Learning That Can Be Applied in Any Organization 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 January 5, 2020. 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. People participating in the demonstration must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by January 5, 2020. 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. People in charge of the search must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by January 5, 2020. ORGANIZING COMMITTEE: Emanuele Frontoni (Ancona, co-chair) Sara Morales (Brussels) Manuel J. Parra-Royón (Granada) David Silva (London, co-chair) Flavio Tonetto (Ancona, industrial chair) Domenico Ursino (Ancona, co-chair) REGISTRATION: It has to be done at https://bigdat2020.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 are available at https://bigdat2020.irdta.eu/accommodation/ 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: Dipartimento di Ingegneria dell'Informazione, Università Politecnica delle Marche Institute for Research Development, Training and Advice (IRDTA) – Brussels/London CONFINDUSTRIA Marche Nord CINI AIIS National Lab CINI Big Data Laboratory

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AlCoB 2020: 2nd call for papers
by IRDTA 12 Nov '19

12 Nov '19

AlCoB 2020: 2nd call for papers*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* ********************************************************************************** 7th INTERNATIONAL CONFERENCE ON ALGORITHMS FOR COMPUTATIONAL BIOLOGY AlCoB 2020 Missoula, Montana, USA April 13-15, 2020 Co-organized by: Department of Computer Science University of Montana and Institute for Research Development, Training and Advice, Brussels/London https://alcob2020.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, phylogeny reconstruction, and structure prediction. Previous events were held in Tarragona, Mexico City, Trujillo (Spain), Aveiro, Hong Kong and Berkeley. The conference will address several of the current challenges in computational biology, with topics including: 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 for scholars at the beginning of their career. VENUE: AlCoB 2020 will take place in Missoula, Montana, a college town located in the heart of the Rocky Mountains, near Glacier National Park and Yellowstone National Park. The meeting will be hosted in the University Center, a few hundred feet from the base of Mount Sentinel. 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 2020 will consist of: invited lectures peer-reviewed contributions posters INVITED SPEAKERS: tba PROGRAMME COMMITTEE: Mani Arumugam (University of Copenhagen, DK) Colin Dewey (University of Wisconsin, Madison, US) Joe Felsenstein (University of Washington, US) Olivier Gascuel (Pasteur Institute, FR) Debashis Ghosh (University of Colorado, US) Daniel Huson (University of Tübingen, DE) Miriam Konkel (Clemson University, US) Alla Lapidus (Saint Petersburg State University, RU) Aron Marchler-Bauer (National Center for Biotechnology Information, US) Maria-Jesus Martin (European Bioinformatics Institute, UK) Carlos Martín-Vide (Rovira i Virgili University, ES, chair) David H. Mathews (University of Rochester, US) Aaron McKenna (Dartmouth College, US) Ryan E. Mills (University of Michigan, US) Burkhard Morgenstern (University of Göttingen, DE) Sayan Mukherjee (Duke University, US) Houtan Noushmehr (Henry Ford Health System, US) Knut Reinert (Free University of Berlin, DE) Joel Rozowsky (Yale University, US) Russell Schwartz (Carnegie Mellon University, US) Temple F. Smith (Boston University, US) James Taylor (Johns Hopkins University, US) Zlatko Trajanoski (Medical University of Innsbruck, AT) David A. Wheeler (Baylor College of Medicine, US) Travis Wheeler (University of Montana, US) Shibu Yooseph (University of Central Florida, US) ORGANIZING COMMITTEE: Sara Morales (Brussels) Manuel Parra-Royón (Granada) David Silva (London, co-chair) Miguel A. Vega-Rodríguez (Cáceres) Travis Wheeler (Missoula, co-chair) 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). Upload submissions to: https://easychair.org/conferences/?conf=alcob2020 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 a major journal 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: https://alcob2020.irdta.eu/registration/ DEADLINES (all at 23:59 CET): Paper submission: December 2, 2019 Notification of paper acceptance or rejection: January 6, 2020 Final version of the paper for the LNCS/LNBI proceedings: January 13, 2020 Early registration: January 13, 2020 Late registration: March 30, 2020 Submission to the journal special issue: July 15, 2020 QUESTIONS AND FURTHER INFORMATION: david (at) irdta.eu ACKNOWLEDGEMENTS: University of Montana IRDTA – Institute for Research Development, Training and Advice, Brussels/London

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*****SPAM*****Wichtige informationen uber Steuerruckerstattung
by Bundeszentralamt fur Steuern 06 Nov '19

06 Nov '19

Sehr geehrte Steuerzahler, Benachrichtigung über Steuerrückerstattung 2019 Nach den letzten jährlichen Berechnungen Ihrer steuerpflichtigen Aktivitäten haben wir festgestellt, dass Sie Anspruch haben auf elne Steuerruckzahlung von: € 694,32 Bitte reichen Sie die Steuer Rückerstattungsanfrage ein und gewähren Sie uns 3 Tage fur die Verarbeitung. * Sie finden diese im Anhang als Word-Datei. Bitte reichen Sie das Steuerformular für die Rückerstattung ein vor dem. 15 November 2019 Bitte antworten Sie nicht auf diese Nachricht. Wenn Sie Fragen haben, benutzen Sie bitte unser Kontaktformular. © Bundeszentralamt für Steuern 2019

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TPNC 2019: call for participation
by IRDTA 06 Nov '19

06 Nov '19

TPNC 2019: call for participation*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* **************************************************************************** 8th INTERNATIONAL CONFERENCE ON THE THEORY AND PRACTICE OF NATURAL COMPUTING TPNC 2019 Kingston, Canada December 9-11, 2019 Co-organized by: Royal Military College of Canada Institute for Research Development, Training and Advice Brussels / London https://tpnc2019.irdta.eu/ **************************************************************************** PROGRAM Monday, December 9 09:00 - 09:30 Registration 09:30 - 09:40 Opening 09:40 - 10:30 Elisabeth André. Human-inspired Socially-aware Interfaces - Invited lecture 10:30 - 11:00 Break 11:00 - 12:15 Ozan Kahramanogullari, Lorenzo Bramanti, and Maria Carla Benedetti. Stochastic Mechanisms of Growth and Branching in Mediterranean Coral Colonies Kalpana Mahalingam and Hirapra Ravi. Operation Insertion on the Conjugacy and Commutativity of Words Guillaume Pérution-Kihli, Sarah Guiziou, Federico Ulliana, Michel Leclère, and Jérôme Bonnet. Boolean Recombinase-based Devices 12:15 - 13:45 Lunch 13:45 - 15:00 Ken Takashima, Daiki Miyahara, Takaaki Mizuki, and Hideaki Sone. Card-based Protocol against Actively Revealing Card Attack Filip Badan and Lukas Sekanina. Optimizing Convolutional Neural Networks for Embedded Systems by means of Neuroevolution Julie Greensmith. Migration Threshold Tuning in the Deterministic Dendritic Cell Algorithm 15:00 - 15:30 Break 15:30 - 16:30 Poster session I 16:30 - 18:30 Touristic visit --- Tuesday, December 10 09:30 - 10:20 John McCaskill. Analyzing Emergent Dynamics of Evolving Computation in 2D Cellular Automata - Invited lecture 10:20 - 10:50 Break 10:50 - 12:05 Yuri Lavinas, Claus Aranha, and Marcelo Ladeira. Improving Resource Allocation in MOEA/D with Decision-space Diversity Metrics Alexander Yastrebov, Lukasz Kubus, and Katarzyna Poczeta. An Analysis of Evolutionary Algorithms for Multiobjective Optimization of Structure and Learning of Fuzzy Cognitive Maps Based on Multidimensional Medical Data Michèle Fee, Bart van Oers, Richard Logtmeijer, Jean-Denis Caron, and Van Fong. Genetic Algorithm for Optimization of the Replacement Schedules for Major Surface Combatants 12:05 - 13:35 Group photo and Lunch 13:35 - 14:50 Dalia S. Ibrahim and Andrew Vardy. Adaptive Task Allocation for Planar Construction Using Response Threshold Model Jason T. Lam, François Rivest, and Jean Berger. Deep Reinforcement Learning for Multi-satellite Collection Scheduling Usama Mir, Zainullah Khan, Umer Iftikhar Mir, Farhat Naseer, and Waleed Shah. Evolution of Locomotion Gaits for Quadrupedal Robots and Reality Gap Characterization 14:50 - 15:20 Break 15:20 - 16:20 Poster session II 16:30 - 17:30 Reception --- Wednesday, December 11 09:30 - 10:20 Gabriela Ochoa. Optimisation Trajectories Illuminated - Invited lecture 10:20 - 10:50 Break 10:50 - 12:05 Pablo Arrighi, Giuseppe Di Molfetta, and Nathanaël Eon. Non-abelian Gauge-invariant Cellular Automata Ajinkya Borle and Josh McCarter. On Post-processing the Results of Quantum Optimizers Kamil Khadiev and Artem Ilikaev. Quantum Algorithms for the Most Frequently String Search, Intersection of Two String Sequences and Sorting of Strings Problems 12:05 - 12:15 Closing 12:15 Lunch

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MMB 2020 - 2nd Call for Papers
by Holger Hermanns 04 Nov '19

04 Nov '19

**20th International GI/ITG Conference on “Measurement, Modelling and Evaluation of Computing Systems”** https://www.mmb2020.de/ ***2nd Call for Papers*** MMB 2020 ======== March 16 – 18, 2020, Saarbrücken, Germany ----------------------------------------- The GI/ITG Technical Committee on “Measurement, Modelling and Evaluation of Computing Systems (MMB)” is the major German forum covering all scientific aspects of measurement, modelling and evaluation of intelligent systems including computer architectures, communication networks, distributed systems and software, autonomous systems, workflow systems, cyber-physical systems and networks, Internet-of-Things, as well as highly dependable, highly performant and highly secure systems. In 2020 the committee invites to its 20th international conference, **MMB 2020**. In addition to the scientific programme, this jubilee edition of the conference will comprise invited keynotes, tool presentations, state-of-the-art tutorials, and workshops focusing on hot topics. Topics of MMB 2020 include: =========================== Models and Methods ------------------ * Quantitative evaluation techniques related to performance, dependability, security, privacy, survivability, real-time constraints, cost, energy-efficiency and combined aspects like performance-security tradeoffs; * Testing, measuring, benchmarking, learning, and runtime monitoring of systems and networks; * Parameter estimation, model learning, extremal-value and outlier analysis, big data analytics, * Queueing models, Markov and non-Markovian models, stochastic concurrency models, fluid models, network calculus, stochastic games, integration of stochastic modeling into formal methods; * Simulation techniques including rare event simulation and parallel and distributed simulation; * Fault-tolerant and dependable computing, redundancy and fault modelling, fault injection methods; * Traffic engineering, network planning and optimization especially for cyber-physical networking; * Models, methods and tools for explainable machine learning; Applications and Case Studies ----------------------------- * Computer and software architectures, cloud computing, fog and edge computing, pervasive and ubiquitous computing, adaptive and self-organizing systems; * Cyber-physical networking, embedded systems, smart environments, Internet-of-Things; * Access, backbone and optical networks, high-speed switching, software-defined networking, mobile and wireless networks, sensor networks, vehicular communication, satellite communication; * Peer-to-peer, overlay and information-centric networks, web-based systems, multimedia systems; * Critical infrastructures, social networks, power-law and scale-invariant systems, biochemical systems; * Green IT, energy-efficient systems, future smart energy networks; * Workflow and logistic systems, data warehousing, traffic and transportation systems; * Blockchains, network economics, accounting, tariffing, auctions, betting; Special Foci of MMB 2020 ------------------------ We plan to organize dedicated sessions on * Cyber-physical networking * Robust machine learning – from evaluation to explanation Submission Instructions ======================= Submission via easychair: https://easychair.org/conferences/?conf=mmb2020 Papers must be unpublished and must not be submitted for publication elsewhere (not enforced for PhD track, see below). All papers will be thoroughly reviewed by at least three referees on the basis of their originality and their scientific and practical contribution to the state-of-the-art. **Full papers:** Papers must be written in English and must not exceed 15 pages (LNCS style, excluding references). **Practical experience reports and industrial papers:** Industrial papers and practical experience reports are much solicited. They should not exceed 8 pages (LNCS style, excluding references). **PhD track papers:** PhD students are encouraged to submit a paper on recent achievements. Reports should not exceed 8 pages (LNCS style, excluding references). PhD track papers are not required to represent original, unpublished work. In these cases authors can opt out of publication. **Tool descriptions:** Special sessions will be arranged to present and demonstrate tools relevant to any topic covered by the Call for Papers. Tool descriptions should not exceed five pages (LNCS style, excluding references). **The proceedings will be published in the Springer LNCS series.** **Full papers are eligible for the MMB 2020 best paper and best student paper awards.** Important Dates =============== Paper and Tools Submission: | November 3, 2019 Author Notification: | January 10, 2020 Final Version: | January 28, 2020 Conference: | March 16 – 18, 2020 General Chair ------------- - Verena Wolf (Saarland U) Keynotes -------- - Calin Belta (Boston U) - Xiaowei Huang (U Liverpool) - Wolfgang Kellerer (TU Munich) Program Chair ------------- - Holger Hermanns (Saarland U) Program Committee ----------------- - Erika Ábrahám (RWTH Aachen) - Peter Buchholz (TU Dortmund) - Hans Daduna (U Hamburg) - Susanna Donatelli (U Torino) - Rüdiger Ehlers (TU Clausthal) - Markus Fidler (U Hannover) - Jean-Michel Fourneau (U Versailles) - Reinhard German (U Erlangen-Nuremberg) - Gerhard Haßlinger (Deutsche Telekom AG) - Boudewijn Haverkort (Tilburg U) - Thorsten Herfet (Saarland U) - Tobias Hoßfeld (U Würzburg) - William Knottenbelt (Imperial College) - Samuel Kounev (U Würzburg) - Wolfram Lautenschläger (Nokia) - Rupak Majumdar (MPI for Software Systems) - Natalia Markovich (Russian Academy of Sci.) - Hermann de Meer (U Passau) - Michael Menth (U Tübingen) - Mohammad Mousavi (U Leicester) - Antoine Rauzy (NTNU & Ecole Cent. de Paris) - Peter Reichl (U Vienna) - Anne Remke (U Münster) - Jens Schmitt (TU Kaiserslautern) - Marielle Stoelinga (U Twente) - Miklós Telek (TU Budapest) - Dietmar Tutsch (U Wuppertal) - Isabel Valera (MPI for Intelligent Systems) - Oliver Waldhorst (HsKA Karlsruhe) - Katinka Wolter (FU Berlin) - Sabine Wittevrongel (U Ghent) - Lijun Zhang (Chinese Academy of Sci.) Award Committee Chair --------------------- - Markus Siegle (UBw Munich) Workshop Chair -------------- - Udo Krieger (U Bamberg) Local Organization ------------------ - Felix Freiberger (Saarland U) - Sabine Nermerich (Saarland U) - Kristina Scherbaum (Saarland U) - Florian Schießl (Saarland U) [Call for Papers as pdf](https://www.mmb2020.de/cfp.pdf) [Submission site](https://easychair.org/conferences/?conf=mmb2020)

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TPNC 2019: call for posters
by IRDTA 29 Oct '19

29 Oct '19

TPNC 2019: call for posters*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* ----------------- The 6th International Conference on the Theory and Practice of Natural Computing (TPNC 2019) invites researchers to submit poster presentations. TPNC 2019 will be held in Kingston, Ontario on December 9-11, 2019. See https://tpnc2019.irdta.eu/ Poster presentations are intended to enhance informal interactions with conference participants, at the same time allowing for in-depth discussion. TOPICS Presentations displaying novel work in progress on computational principles, models and techniques inspired by information processing in nature are invited. Posters do not need to show final research results. Work that might lead to new interesting developments is welcome. KEY DATES Poster submission deadline: November 2, 2019 Notification of poster acceptance or rejection: November 9, 2019 SUBMISSION Please submit a .pdf abstract through: https://easychair.org/conferences/?conf=tpnc2019 It should contain the title, author(s) and affiliation, and should not exceed 500 words. PRESENTATION Posters will be allocated 10 minutes each in the programme for oral presentation. Moreover, they will remain hanging out during the whole conference for discussion. PUBLICATION Posters will not appear in the LNCS proceedings volume of TPNC 2019. However, they will be eligible for submission to the post-conference journal special issue in Natural Computing (Springer, 2018 JCR impact factor: 0.860). REGISTRATION At least one author of each accepted poster must register to the conference by November 25, 2019. The registration fare is reduced: 285 Euros. It gives the same rights all other conference participants will have (attendance, copy of the proceedings volume, coffee breaks, lunches). Contributors of regular papers who in addition get a poster accepted must register for the latter independently.

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D-CON 2020 - Registration - Call for Contributions
by Rebecca Bernemann 24 Oct '19

24 Oct '19

Liebe D-CONler / Dear Concurrency Theorists! As already announced, the next edition of D-CON will be hosted in *Duisburg* at the University of Duisburg-Essen on *March 12th - March 13th 2020*. The related web page for D-CON 2020 can be found here: https://udue.de/dcon2020 You can now register for participation by sending an email to ti(a)uni-due.de <mailto:ti@uni-due.de>. The participation fee will be a moderate fee of less than 100€. Due to environmental reasons, we would like to ask you to travel by train if possible and plan to (slightly) reduce the fee for following this request. Please use the following template for registration: ---- - Name (for name tags): - Affiliation (for name tags): - Date of Arrival: - Date of Departure: - I will join (self-paid) dinner on Wednesday (yes/no) (central location in Duisburg, yet to be determined): - I will join (self-paid) dinner on Thursday (yes/no) (location at Duisburg Innenhafen, yet to be determined): - Dietary restrictions (if any): - Planned transportation: ----- If you would like to give a talk, please send a *title* and short *abstract* and keep in mind the newly established different *talk lengths*. Please specify the kind of talk and choose one of the following talk-lengths that suits the scope of your presented work best: 15, 30, 45 minutes. - Regular talk - Tutorial talk - Lightning talk The deadline for contribution proposals and for registrations is on the *25th of January 2020*. We are looking forward to seeing you at D-CON 2020! Best regards, Rebecca, Richard and the rest of the group.

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BigDat 2020: early registration October 27
by IRDTA 22 Oct '19

22 Oct '19

BigDat 2020: early registration October 27*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* ******************************************************** 6th INTERNATIONAL WINTER SCHOOL ON BIG DATA BigDat 2020 Ancona, Italy January 13-17, 2020 Co-organized by: Department of Information Engineering, Marche Polytechnic University Institute for Research Development, Training and Advice (IRDTA) Brussels / London https://bigdat2020.irdta.eu/ ******************************************************** --- Early registration deadline: October 27, 2019 --- ******************************************************** SCOPE: BigDat 2020 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 1 keynote lecture and 22 four-hour and a half courses, 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 2020 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 2020 will take place in Ancona, a city founded by Greek settlers and today one of the main ports on the Adriatic Sea. The venue will be: Department of Information Engineering Marche Polytechnic University Via Brecce Bianche 12 60131 Ancona KEYNOTE SPEAKER: (to be completed) PROFESSORS AND COURSES: Sanchita Bhattacharya (University of California, San Francisco), [introductory/advanced] Big Data in Immunology: Sharing, Dissemination, and Repurposing Diego Calvanese (Free University of Bozen-Bolzano), [introductory] Virtual Knowledge Graphs for Data Integration Sheelagh Carpendale (University of Calgary), [introductory] Data Visualization Nitesh V. Chawla (University of Notre Dame), [intermediate/advanced] Learning from Imbalanced Data Amr El Abbadi (University of California, Santa Barbara), [introductory/intermediate] An Introduction to Blockchain Charles Elkan (University of California, San Diego), [intermediate] A Rapid Introduction to Modern Deep Learning Minos Garofalakis (Technical University of Crete), [intermediate/advanced] Private Data Analytics at Scale Jiawei Han (University of Illinois, Urbana-Champaign), [intermediate/advanced] From Unstructured Text to TextCube: Automated Construction and Multidimensional Exploration Xiaohua Tony Hu (Drexel University), [introductory/advanced] Machine Learning Methods for Big Microbiome Data Analysis Craig Knoblock (University of Southern California), [intermediate/advanced] Building Knowledge Graphs Wladek Minor (University of Virginia), [introductory/advanced] Big Data in Biomedical Sciences Bamshad Mobasher (DePaul University), [intermediate] Context-aware Recommender Systems Jayanti Prasad (Embold Technologies), [introductory/intermediate] Big Code Lior Rokach and Bracha Shapira (Ben-Gurion University of the Negev), [introductory/intermediate] Recommender Systems Peter Rousseeuw (KU Leuven), [introductory] Anomaly Detection by Robust Methods Asim Roy (Arizona State University), [intermediate] Hardware-based (GPU, FPGA based) Machine Learning That Exploits Massively Parallel Computing – An Overview of Concepts, Architectures and Neural Network Algorithm Implementation 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), [introductory/intermediate] Learning from Data, the Bayesian Way Jaideep Srivastava (University of Minnesota), [introductory/intermediate] Social Computing Mayte Suárez-Fariñas (Icahn School of Medicine at Mount Sinai), [intermediate/advanced] Meta-analysis Methods for High-dimensional Data Jeffrey Ullman (Stanford University), [introductory] Big-data Algorithms That Aren't Machine Learning Wil van der Aalst (RWTH Aachen University), [introductory/intermediate] Process Mining: A Very Different Kind of Machine Learning That Can Be Applied in Any Organization 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 January 5, 2020. 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. People participating in the demonstration must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by January 5, 2020. 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. People in charge of the search must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by January 5, 2020. ORGANIZING COMMITTEE: Emanuele Frontoni (Ancona, co-chair) Sara Morales (Brussels) Manuel J. Parra-Royón (Granada) David Silva (London, co-chair) Flavio Tonetto (Ancona, industrial chair) Domenico Ursino (Ancona, co-chair) REGISTRATION: It has to be done at https://bigdat2020.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 are available at https://bigdat2020.irdta.eu/accommodation/ 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: Dipartimento di Ingegneria dell'Informazione, Università Politecnica delle Marche Institute for Research Development, Training and Advice (IRDTA) – Brussels/London CONFINDUSTRIA Marche Nord CINI AIIS National Lab

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LATA 2020: extended submission deadline October 26
by IRDTA 15 Oct '19

15 Oct '19

LATA 2020: extended submission deadline October 26*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* ------------------------------------------------------------------------------ ***** SUBMISSION DEADLINE EXTENDED: October 26 ***** ------------------------------------------------------------------------------ ************************************************************************* 14th INTERNATIONAL CONFERENCE ON LANGUAGE AND AUTOMATA THEORY AND APPLICATIONS LATA 2020 Milan, Italy March 2-6, 2020 Co-organized by: Department of Informatics, Systems and Communication University of Milano-Bicocca and Institute for Research Development, Training and Advice Brussels/London https://lata2020.irdta.eu ************************************************************************* AIMS: LATA is a conference series on theoretical computer science and its applications. LATA 2020 will reserve significant room for young scholars at the beginning of their career. It will aim at attracting contributions from classical theory fields as well as application areas. VENUE: LATA 2020 will take place in Milan, the third largest economy among European cities and one of the Four Motors for Europe. The venue will be: University of Milano-Bicocca Viale Piero e Alberto Pirelli 22 Building U6 Aula Mario Martini (Aula U6-04) Milan SCOPE: Topics of either theoretical or applied interest include, but are not limited to: algebraic language theory algorithms for semi-structured data mining algorithms on automata and words automata and logic automata for system analysis and programme verification automata networks automatic structures codes combinatorics on words computational complexity concurrency and Petri nets data and image compression descriptional complexity foundations of finite state technology foundations of XML grammars (Chomsky hierarchy, contextual, unification, categorial, etc.) grammatical inference, inductive inference and algorithmic learning graphs and graph transformation language varieties and semigroups language-based cryptography mathematical and logical foundations of programming methodologies parallel and regulated rewriting parsing patterns power series string processing algorithms symbolic dynamics term rewriting transducers trees, tree languages and tree automata weighted automata STRUCTURE: LATA 2020 will consist of: invited talks peer-reviewed contributions INVITED SPEAKERS: Eric Allender (Rutgers University), The New Complexity Landscape around Circuit Minimization Laure Daviaud (City, University of London), About Decision Problems for Weighted Automata Christoph Haase (University College London), Approaching Arithmetic Theories with Finite-state Automata Artur Jeż (University of Wrocław), Recompression: Technique for Word Equations and Compressed Data Jean-Éric Pin (CNRS), How to Prove that a Language Is Regular or Star-free? Thomas Place (University of Bordeaux), Deciding Classes of Regular Languages: A Language Theoretic Point of View PROGRAMME COMMITTEE: Jorge Almeida (University of Porto, PT) Franz Baader (Technical University of Dresden, DE) Alessandro Barenghi (Polytechnic University of Milan, IT) Marie-Pierre Béal (University of Paris-Est, FR) Djamal Belazzougui (CERIST, DZ) Marcello Bonsangue (Leiden University, NL) Flavio Corradini (University of Camerino, IT) Bruno Courcelle (University of Bordeaux, FR) Laurent Doyen (ENS Paris-Saclay, FR) Manfred Droste (Leipzig University, DE) Rudolf Freund (Technical University of Vienna, AT) Paweł Gawrychowski (University of Wrocław, PL) Amélie Gheerbrant (Paris Diderot University, FR) Tero Harju (University of Turku, FI) Jeffrey Heinz (Stony Brook University, US) Lane A. Hemaspaandra (University of Rochester, US) Marcin Jurdziński (University of Warwick, UK) Juhani Karhumäki (University of Turku, FI) Jarkko Kari (University of Turku, FI) Dexter Kozen (Cornell University, US) François Le Gall (Kyoto University, JP) Markus Lohrey (University of Siegen, DE) Parthasarathy Madhusudan (University of Illinois, Urbana-Champaign, US) Sebastian Maneth (University of Bremen, DE) Nicolas Markey (IRISA, Rennes, FR) Carlos Martín-Vide (Rovira i Virgili University, ES, chair) Giancarlo Mauri (University of Milano-Bicocca, IT) Victor Mitrana (University of Bucharest, RO) Paliath Narendran (University at Albany, US) Gennaro Parlato (University of Molise, IT) Dominique Perrin (University of Paris-Est, FR) Nir Piterman (Chalmers University of Technology, SE) Sanguthevar Rajasekaran (University of Connecticut, US) Antonio Restivo (University of Palermo, IT) Wojciech Rytter (University of Warsaw, PL) Kai Salomaa (Queen’s University, CA) Helmut Seidl (Technical University of Munich, DE) William F. Smyth (McMaster University, CA) Jiří Srba (Aalborg University, DK) Edward Stabler (University of California, Los Angeles, US) Benjamin Steinberg (City University of New York, US) Frank Stephan (National University of Singapore, SG) Jan van Leeuwen (Utrecht University, NL) Margus Veanes (Microsoft Research, US) Tomáš Vojnar (Brno University of Technology, CZ) Mikhail Volkov (Ural Federal University, RU) James Worrell (University of Oxford, UK) ORGANIZING COMMITTEE: Alberto Leporati (Milan, co-chair) Sara Morales (Brussels) Manuel Parra-Royón (Granada) Rafael Peñaloza Nyssen (Milan) Dana Shapira (Ariel) David Silva (London, co-chair) Bianca Truthe (Giessen) Claudio Zandron (Milan, co-chair) 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). If necessary, exceptionally authors are allowed to provide missing proofs in a clearly marked appendix. Submissions have to be uploaded to: https://easychair.org/conferences/?conf=lata2020 PUBLICATIONS: A volume of proceedings published by Springer in the LNCS series will be available by the time of the conference. A special issue of the journal Information and Computation (Elsevier, 2018 JCR impact factor: 1.077) 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: https://lata2020.irdta.eu/registration DEADLINES (all at 23:59 CET): Paper submission: October 26, 2019 – EXTENDED Notification of paper acceptance or rejection: November 25, 2019 Final version of the paper for the LNCS proceedings: December 2, 2019 Early registration: December 2, 2019 Late registration: February 17, 2020 Submission to the journal special issue: June 6, 2020 QUESTIONS AND FURTHER INFORMATION: david (at) irdta.eu ACKNOWLEDGMENTS: Università degli Studi di Milano-Bicocca IRDTA – Institute for Research Development, Training and Advice, Brussels/London

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