AlCoB 2020: extended submission deadline December 9*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line*
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***** SUBMISSION DEADLINE EXTENDED: December 9 *****
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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:
Terry Gaasterland (University of California, San Diego), tba
Christine Orengo (University College London), Algorithms for Mining Massive Metagenome Repositories to Detect Novel Enzymes
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 9, 2019 – EXTENDED
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
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
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
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
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
**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
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- Verena Wolf (Saarland U)
Keynotes
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- Calin Belta (Boston U)
- Xiaowei Huang (U Liverpool)
- Wolfgang Kellerer (TU Munich)
Program Chair
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- 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
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- Udo Krieger (U Bamberg)
Local Organization
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- 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)