Carlos Artemio Coello Coello

He received a BSc in Civil Engineering from the Universidad Autonoma de Chiapas in Mexico in 1991 (graduating Summa Cum Laude). Then, he was awarded a scholarship from the Mexican government to pursue graduate studies in Computer Science at Tulane University (in the USA). He received a MSc and a PhD in Computer Science in 1993 and 1996, respectively. Dr. Coello has been a Senior Research Fellow in the Plymouth Engineering Design Centre (in England) and a Visiting Professor at DePauw University (in the USA). He is currently full professor at CINVESTAV-IPN in Mexico City, Mexico. He has published over 250 papers in international peer-reviewed journals, book chapters, and conferences. He has also co-authored the book "Evolutionary Algorithms for Solving Multi-Objective Problems", which is now in its Second Edition (Springer, 2007) and has co-edited the book "Applications of Multi- Objective Evolutionary Algorithms" (World Scientific, 2004). He has delivered invited talks, keynote speeches andtutorials at international conferences held in Spain, USA, Canada, Switzerland, UK, Chile, Colombia, Brazil,Argentina, India, Uruguay and Mexico. Dr. Coello has served as a technical reviewer for over50 international journals and for more than 60 international conferences and actually serves as associate editor of the journals "IEEE Transactions on Evolutionary Computation", "Evolutionary Computation", "Computational Optimization and Applications", "Pattern Analysis and Applications" and the "Journal of Heuristics". He is also a member of the editorial boards of the journals "Soft Computing", "Engineering Optimization", the "Journal of Memetic Computing" and the "International Journal of Computational Intelligence Research". He received the 2007 National Research Award (granted by the Mexican Academy of Science) in the area of "exact sciences". He is member of the Mexican Academy of Science, Senior Member of the IEEE, and member of Sigma Xi, The Scientific Research Society. His current research interests are: evolutionary multiobjective optimization and constraint-handling techniques for evolutionary algorithms.

Dara Curran

He received a BSc. in Information Technology from the National University of Ireland, Galway in 2000. After spending some time in industry, he was awarded an Irish Research Council for Research Engineering and Technology scholarship to pursue a PhD, which he obtained from the National University of Ireland, Galway in 2006. He is currently an Enterprise Ireland Principal Investigator. Prior to this he was a staff scientist at the Cork Constraint Computation Centre, an Enterprise Ireland Principal Investigator and an Irish Research Council for Research, Engineering and Technology Post-doctoral fellow. He has published over 35 research papers and co-organised the first workshop on Organisation, Cooperation and Emergence in Social Learning Agents at ECAL 2009. His research is focused on the application of learning models to evolutionary algorithms and the use of evolutionary computation for Artificial Life simulation.

Thomas Jansen

Born 1969, studied Computer Science at the University of Dortmund, Germany. He received his diploma (1996, summa cum laude) and Ph.D. (2000, summa cum laude) there. From September 2001 to August 2002 he stayed as a Post-Doc at Kenneth De Jong's EClab at the George Mason University in Fairfax, VA. He was Juniorprofessor for Computational Intelligence from September 2002 to February 2009 at the Technical University Dortmund. Since March 2009 he is Stokes Lecturer at the Department of Computer Science at the University College Cork, Ireland. His research is centered around design and theoretical analysis of evolutionary algorithms and other randomized search heuristics. He has published 16 journal papers, 34 conference papers and contributed seven book chapters. He is associate editor of Evolutionary Computation (MIT Press), member of the steering committee of the Theory of Randomized Search Heuristics workshop series, was program chair at PPSN 2008, co-organized FOGA 2009, a workshop on Bridging Theory and Practice (PPSN 2008), two Dagstuhl workshops on Theory of Evolutionary Computation (2004 and 2006) and one Dagstuhl workshop on Artificial Immune Systems (2011).

Daniele Loiacono

Graduated cum laude in 2004 in Computer Engineering at Politecnico di Milano. In 2008 he received the Ph.D. in Computer Engineering from the Department of Electronics and Information of Politecnico di Milano, where he is currently a Post-doctoral researcher. His research interests include machine learning, evolutionary computation, and computational intelligence in games.

He has been in the program committee of the ACM Genetic and Evolutionary Computation Conference (GECCO), the IEEE Congress on Evolutionary Computation (CEC), the IEEE Symposium on Computational Intelligence and Games (CIG), the International Workshop on Learning Classifier Systems (IWLCS), and the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). He also reviewed articles for the following journals: IEEE Transactions on Evolutionary Computation, Evolutionary Computation Journal, IEEE Transaction on Computational Intelligence and AI in Games, Genetic Programming and Evolvable Machines.

Since 2008, Daniele Loiacono has been organizing several scientific competitions at major conferences including GECCO, CEC and CIG. In 2009 he was local co-chair of the IEEE Symposium on Computational Intelligence and Games and co-organized the special session on Computational Intelligence in Games at the IEEE Congress on Evolutionary Computation. In 2010 he was in the organizing committee of the special session on Racing Games at the IEEE Symposium on Computational Intelligence. He has 38 refereed international publications between journal papers, conference papers, book chapters, and workshop papers.

Albert Orriols-Puig

He received the M.Sc. and Ph.D. degrees in computer engineering in 2004 and 2008, respectively, from the Ramon Llull University, Spain. His thesis studied how the extended classifier system (XCS), one of the most influential LCS, could deal with domains that contained class imbalances. During his PhD, he was a visiting research fellow at the Illinois Genetic Algorithm Laboratory (University of Illinois at Urbana-Champaign) and at the Soft Computing and Intelligent Information Systems Research Group (University of Granada). In 2009, he was appointed as an assistant professor at the Ramon Llull University.

He is currently a software engineer at Google. His research interests include online evolutionary learning, fuzzy modeling, learning from rarities, data complexity, and machine learning in general. He is especially interested in the application of genetic-based machine learning to real-world problems in the field of supervised and unsupervised learning. He has been in the program committee, among other conferences and workshops, of the Genetic and Evolutionary Computation Conference (GECCO), the International Workshop on Learning Classifier Systems (IWLCS), the Hybrid Artificial Intelligence Systems (HAIS), and the Hybrid Intelligent Systems (HIS). He also serves as a reviewer for, among others, the following journals: IEEE Transactions on Evolutionary Computation, Evolutionary Computation Journal, Soft Computing, Evolutionary Intelligence, and Pattern Recognition Letters. He has 43 refereed international publications between journal papers, conference papers and book chapters, and he has given 3 invited talks.

Ryan Urbanowicz

He received his B. Eng. Degree in Agricultural and Biological Engineering from Cornell University in 2004 and a M. Eng. Degree from the same institution in 2005. His masters thesis explored a ganglioside-liposome biosensor design for the detection of botulinum and cholera toxins. In 2005 he entered the Molecular and Cellular Biology (MCB) Ph.D. program at Dartmouth College and joined a lab specializing in Compuational Biology under mentor/PI Jason Moore. In 2009 he was awarded a Dartmouth Neukom Institute Fellowship funding the development of a learning classifier system algorithm for the detection of complex multifactorial genetic associations predictive of disease. His Ph.D. thesis deals specifically with two complicating phenomena which impede the ability to detect genetic associations in common complex diseases; epistasis and genetic heterogeneity. Completion of his Ph.D thesis is anticipated to occur in early 2011. His research interests include the development of learning classifier systems (LCSs) and other kinds of evolutionary learning for application to problems in genetic epidemiology. More generally, his interests extend to genetics, epidemiology, bioinformatics, artificial intelligence, data mining, and evolutionary algorithms. He has chaired for the Bioinformatics and Computational Biology track at the Genetic and Evolutionary Computation Conference (GECCO), and has given 2 invited talks. He has 5 refereed international publications including an extensive review of LCSs, and two other LCS based works, one of which received best paper at 2010 GECCO in the Bioinformatics and Computational Biology track.

W. B. Langdon

He was awarded a PhD in Computer Science by University College, London (UCL) more than ten years ago. He has more than 100 papers, including writing three books. He is the resource review editor for Genetic Programming and Evolvable Machines and a member of the editorial board of Evolutionary Computation. He has given nine tutorials and organised workshops in international conferences and has chaired both tracks and been editor-in-chief for the GECCO proceedings. He co-chaired the EuroGP conference three times.

Man Leung Wong

He is an associate professor at the Department of Computing and Decision Sciences at Lingnan University, Tuen Mun, Hong Kong. His research interests are evolutionary computation, data mining, parallel algorithms on Graphics Processing Units, machine learning, knowledge acquisition, fuzzy logic, and approximate reasoning. His articles on these topics have been published in Evolutionary Computation, IEEE Transactions on Evolutionary Computation, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Systems, Man, and Cybernetic, IEEE Intelligent Systems, IEEE Engineering in Medicine and Biology, Management Science, Decision Support Systems, Expert Systems with Applications, Journal of the American Society for Information Science and Technology, Fuzzy Sets and Systems, International Journal of Approximate Reasoning, etc. He received his B.Sc., M.Phil., and Ph.D. in computer science from the Chinese University of Hong Kong in 1988, 1990, and 1995, respectively.

Garnett Wilson

He was awarded his PhD in Computer Science from Dalhousie University, Canada in 2007. He has published in the areas of financial analysis, linear genetic programming, co-evolutionary algorithms, artificial developmental systems, information visualization, and GPU programming for evolutionary computation. Dr. Wilson developed a genetic programming, and general-purpose computing on graphics processing units (GPGPU), implementation on a commercial video game system (using the XBox 360). He is currently a postdoctoral fellow with Memorial University of Newfoundland, where his research focuses on information visualization and evolutionary computation applied to fisheries conservation. He is also currently President and CTO of Afinin Labs, Inc., a company using evolutionary computation to create tools for financial analysis.

Tony Lewis

He has a background of a MMath from Durham and several years' experience as a software engineer for IBM. He moved into researching computational intelligence via an MSc and his prize winning thesis focussed on applying GP to scheduling. He is currently working at Birkbeck, University of London and is researching accelerating GP with GPUs and using the powerful approach to exploring long term fitness growth. His work on tackling GP with GPUs recently earned a GECCO best paper award. He has reviewed papers for conferences and journals and he joint-organised the CIGPU special session at IEEE WCCI in 2010.

Christian Gagné

He is assistant professor of computer engineering at Université Laval in Québec (Canada) since 2008, and member of the Computer Vision and Systems Laboratory. He received is B.Ing. (computer engineering), M.Sc. (electrical engineering) and Ph.D. (electrical engineering) from Université Laval in 2000, 2003 and 2005, respectively. In the 2005-2006 period, he was ERCIM postdoctoral fellow jointly at the INRIA Saclay-Ile-de-France in Orsay (France) and the University of Lausanne (Switzerland). He also worked as research analyst for Informatique WGZ (2006-2007) and MacDonald, Dettwiler and Associates (2007), as consultant on research projects with Defence R&D Canada -- Valcartier. His research interests are on the engineering of distributed intelligent systems, in particular systems involving evolutionary computation (genetic programming, LCS, co-evolution), machine learning (reinforcement learning, ensemble methods, pattern recognition), and distributed computing (sensor networks, autonomic computing, high-performance computing). Prof. Gagné was local chair of GECCO 2009, competition chair at GECCO 2010, and is chair of the Digital Entertainment Technology and Art track at GECCO 2011. He is also the main author of Open BEAGLE, a C++ evolutionary computation framework.

François-Michel De Rainville

He received in 2010 his Master's degree from Université Laval, Québec (Canada), for his work on interactive designs of experiments to enhance comprehension of complex systems. He is currently pursuing his PhD degree at Université Laval on using a swarm of robots to explore and analyze unknown environments. His major area of interest are robotics, pattern recognition, machine learning, evolutionary algorithms, computer vision, and optimization. His major research contributions are on the optimization of configurations of quasi-random number generators with evolutionary algorithms, and DEAP, a distributed evolutionary computation framework in Python.

Félix-Antoine Fortin

He is a PhD student at the department of electrical and computer engineering of Université Laval, in Québec (Canada), and a research assistant at CLUMEQ, a research consortium for high-performance computing. He recently completed with a Master's with honours, investigating the usage of genetic algorithms for the automatic placement of surveillance cameras in arbitrary environments. His research interests include evolutionary algorithms, incremental learning, and high-performance computing. He is also the co-author of a new framework called DEAP, for the rapid prototyping of distributed evolutionary algorithms in Python.

Stephen L. Smith

Received a BSc in Computer Science and then an MSc and PhD in Electronic Engineering from the University of Kent, UK. He is currently a senior lecturer in the Department of Electronics at the University of York, UK. Steve's main research interests are in developing novel representations of evolutionary algorithms particularly with application to problems in medicine. His work is currently centered on the diagnosis of neurological dysfunction and analysis of mammograms. Steve was program chair for the Euromicro Workshop on Medical Informatics, program chair and local organizer for the Sixth International Workshop on Information Processing in Cells and Tissues (IPCAT) and guest editor for the subsequent special issue of BioSystems journal. Most recently he was tutorial chair for the IEEE Congress on Evolutionary Computation (CEC) in 2009 and local organiser for the International Conference on Evolvable Systems (ICES) in 2010.

Steve and Stefano Cagnoni are co-founders and organizers of the MedGEC Workshop, which is now in its seventh year. They are also guest editors for a special issue of Genetic Programming and Evolvable Machines (Springer) on medical applications and editors of a forthcoming book on the subject (John Wiley, November 2010).

Steve is associate editor for the journals Genetic Programming and Evolvable Machines and the Journal of Artificial Evolution and Applications. Hes is also a member of the editorial board for the International Journal of Computers in Healthcare.

Steve has some 75 refereed publications, is a Chartered Engineer and a fellow of the British Computer Society.

Stefano Cagnoni

Graduated in Electronic Engineering at the University of Florence in 1988 where he has been a PhD student and a post-doc until 1997. In 1994 he was a visiting scientist at the Whitaker College Biomedical Imaging and Computation Laboratory at the Massachusetts Institute of Technology. Since 1997 he has been with the University of Parma, where he has been Associate Professor since 2004.

His main basic research interests concern soft computing, with particular regard to evolutionary computation, and computer vision. As concerns applied research, the main topics of his research are the application of the above-mentioned techniques to problems in computer vision, pattern recognition and robotics.

Recent research grants regard: co-management of a project funded by Italian Railway Network Society (RFI) aimed at developing an automatic inspection system for train pantographs; a "Marie Curie" grant, for a four-year research training project in Medical Imaging using Bio-Inspired and Soft Computing; a grant from "Compagnia di S. Paolo" on "Bioinformatic and experimental dissection of the signalling pathways underlying dendritic spine function".

Other activities

He is Editor-in-chief of the "Journal of Artificial Evolution and Applications"

Since 1999, he has been chairman of EvoIASP, an event dedicated to evolutionary computation for image analysis and signal processing. Since 2005, he has co-chaired MedGEC, workshop on medical applications of evolutionary computation at GECCO.

Co-editor of special issues of journals dedicated to Evolutionary Computation for Image Analysis and Signal Processing.

He has been reviewer for international journals and member of the committees of several conferences.

He is member of the Advisory Board of Perada, the UE Coordination Action on Pervasive Adaptation.

He has been recently awarded the "Evostar 2009 Award", in recognition of the most outstanding contribution to Evolutionary Computation.

Robert M. Patton

Dr. Patton received his Ph.D. in Computer Engineering with emphasis on Software Engineering from the University of Central Florida in 2002. In 2003, he joined the Applied Software Engineering Research group of Oak Ridge National Laboratory as a researcher. Dr. Patton primary research interests include data and event analytics, intelligent agents, computational intelligence, and nature-inspired computing. He currently is investigating novel approaches of evolutionary computation to the analysis of mammograms, abdominal aortic aneurysms, and traumatic brain injuries. In 2005, he served as a member of the organizing committee for the workshop on Ambient Intelligence - Agents for Ubiquitous Environments in conjunction with the 2005 Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005).

Forrest Stonedahl

He is an advanced graduate student at Northwestern University, completing his dissertation work on the use of evolutionary algorithms to explore the effects of varying parameters in multi-agent simulations. He has published on this topic at venues such as GECCO, AAMAS, and the AAAI fall symposium, and has also authored an open-source software package for aiding in this task. He is also an active member of the Center for Connected Learning and Computer-Based Modeling at Northwestern University contributing to the development of the NetLogo multi-agent modeling language and environment.

Gisele L. Pappa

Dr. Pappa received her PhD in Computer Science from the University of Kent, Canterbury, UK, in 2007. She is currently an Associate Professor at the Federal University of Minas Gerais, Brazil. She is the author of a research-oriented book on data mining and evolutionary algorithms, and her current research interests are on data mining, bio-inspired computational intelligence algorithms and social networks.

Alex Freitas

He obtained his PhD in Computer Science from the University of Essex, UK, in 1997. He is currently a Reader in Computational Intelligence (position equivalent to Associate Professor) at the University of Kent, UK. He has (co)-authored 3 research-oriented books and over 130 peer-reviewed papers in journals and conferences. He is a member of the editorial board of four international journals, and has (co-)organized several conferences and workshops in the areas of evolutionary algorithms, swarm intelligence and data mining. His current research interests are data mining and knowledge discovery, biologically-inspired computational intelligence algorithms, bioinformatics and the biology of ageing.

Jerry Swan

Prior to obtaining a PhD in computational group theory at Nottingham, Jerry has spent 20 years in industry as a software developer. He was the owner of a computer games company for most of the 1990s and has worked in areas as diverse as logistics and generative music. His research interests include hyper-heuristics, symbolic computation and machine learning. He now works at the Automated Scheduling and Planning (ASAP) Research Group at Nottingham.

John Woodward

He has a BSc in Theoretical Physics, an MSc in Cognitive Science distinction) and a PhD in Computer Science, all from the University of Birmingham. He recently completed a post-doc at the Nottingham of University investigating the use of Genetic Programming to discover novel heuristics. In addition he has worked at CERN doing research into Particle Physics, the Royal Air Force as an environmental noise scientist, and Electronic Data Systems as a systems engineer. Currently he is teaching at the University of Nottingham, Ningbo, campus based in China, and a member of the Automated Scheduling, Optimization and Planning Research Group at the University of Nottingham. His research interests include fundamental issues in Machine Learning especially Genetic Programming.

Jason H. Moore

He has more than 12 years of experience in developing and applying GEC methods for biological and biomedical problems. He has published more than 50 peer-reviewed papers on GEC methods including more than eight papers as part of GECCO. Dr. Moore is funded by the USA National Institutes of Health (NIH) to develop scientific visualization approaches for GEC (NIH R01 LM009012). Dr. Moore organized and chaired the 1st and 2nd SoftGEC workshop at GECCO 2007 and 2008 that focused on open-source software. Both of these workshops were very well attended (n>25) and accomplished to goal of discussing the challenges of developing user-friendly software in the GEC community. Last year, he organized the 1st VizGEC workshop at GECCO 2010 in Portland that was very well attended (n>30). In the past, he has organized and chaired the successful BioGEC workshop at GECCO 2004 and 2005 that focused on biological applications of GEC. There were more than 30 participants at each and the post-workshop reviews were excellent. Dr. Moore has chaired other GEC workshops and sessions including the session on 'Microarray Analysis' at the 1st European Workshop on Evolutionary Computing and Bioinformatics (EvoBIO 2003) and the session on 'Real World Applications in Bioinformatics' at GECCO-2003. Further, Dr. Moore has served on program and technical committees for the European Conference on Evolutionary Computing, Data Mining and Machine Learning in Bioinformatics (EvoBIO 2002-2010), the workshop on 'Grammatical Evolution' at GECCO (2003-2008), GECCO-2003, GECCO-2004, GECCO 2005, GECCO-2006, GECCO-2007 and the 2005 and 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). Dr. Moore chaired the Bioinformatics Track at GECCO 2006, 2007 and 2008. Dr. Moore chaired in 2007 and 2008 (with Drs. Carlos Cotta, Elena Marchiori, and David Corne) the European Conference on Evolutionary Computation, Data Mining and Machine Learning in Bioinformatics (EvoBIO). Dr. Moore has also given the GECCO 2005, 2006, 2007, 2008, 2009 and 2010 tutorials on Bioinformatics. Thus, Dr. Moore has been intimately involved in GECCO and other GEC conferences for the last nine years. He will serve as the General Chair of GECCO 2012.

Maria J. Blesa

She received her degree in Informatics Engineering in 2000 and her Ph.D. in Computer Science in 2006, both from the Universitat Politecnica de Catalunya (UPC) in Spain, where nowadays she is associate professor. Her Ph.D. thesis got a special Prize as best thesis defended during the course 2005-2006 in the area of Information Technologies and Communications at UPC. Her research has always been supported by European projects and official grants. Among them, she is currently participating in the European projects FRONTS (fronts.cti.gr) and WISEBED (wisebed.eu), whose research topics involve different theoretical and practical aspects of sensor networks. Her publications include three book chapters, ten journal articles and twenty-three articles in international conferences. She has also edited six LNCS proceedings and a book on Hybrid Metaheuristics. She is currently writting a book about stability in networks, to be published by Springer. She has been part of the organization committee and program committee of several international conferences, workshops and meetings.

Christian Blum

He received the doctoral degree in 2004 from the Free University of Brussels (Belgium). After spending one year at the Advanced Computation Laboratory of the Imperial Cancer Research Fund (ICRF) in London, he worked at IRIDIA at the Free University of Brussels under the supervision of Marco Dorigo. He currently is a "Ramon y Cajal" tenure-track research fellow at the ALBCOM research group of the Universitat Politecnica de Catalunya in Barcelona. Subject of his research is the use of swarm intelligence techniques for the management of large-scale mobile ad-hoc and sensor networks, as well as the hybridization of metaheuristics with more classical artificial intelligence and operations research methods. He is a member of the editorial boards of international journals such as Computers & Operations Research and Swarm Intelligence. As a co-founder, he initiated the series of International Workshops on Hybrid Metaheuristics (HM). Moreover, he gave invited tutorials at conferences such as PPSN, GECCO, and HIS. Concerning his publication record, Christian has published around 100 papers in international journals, conference proceedings, or as book chapters.

Finally, Christian Blum has a rather long history of involvement in GECCO conferences. Apart from chairing the "late breaking papers" track at this upcoming GECCO 2011, in the past Christian has chaired different regular GECCO tracks such as "Ant Colony Optimization and Swarm Intelligence (ACSI)" and "Combinatorial Optimization and Metaheuristics (COM)".

Steven Gustafson

He is a computer scientist at the General Electric Global Research Center in Niskayuna, New York. As a member of the Computational Intelligence Lab, he develops and applies advanced AI and machine learning algorithms for complex problem solving. He received his PhD in computer science from the University of Nottingham, UK, where he was a research fellow in the Automated Scheduling, Optimisation and Planning Research Group. He received his BS and MS in computer science from Kansas State University, where he was a research assistant in the Knowledge Discovery in Databases Laboratory. Dr. Gustafson is a member of several program committees, a member of the editorial board of the Journal of Artificial Evolution and Applications, and a Technical Editor-in-Chief of the new journal Memetic Computing. In 2006, he received the IEEE Intelligent System's "AI's 10 to Watch" award.

Ekaterina Vladislavleva

Graduated in mathematical theory of intelligent systems from the Faculty of Mathematics and Mechanics, Moscow State University of Lomonosov, Moscow, Russia. She received the M.Sc. degree in mathematics in 2000 and the P.D.Eng. degree in industrial mathematics from Eindhoven University of Technology, Eindhoven, The Netherlands, in 2005. She also received the Ph.D. degree in symbolic regression from Tilburg University, Tilburg, The Netherlands, in 2008. Currently, she is a Lecturer promoting scientific computing in the Department of Mathematics and Computer Science, University of Antwerp, Antwerp, Belgium. Her research interests include data-driven modeling and high-performance computing, particularly in the industrial scale symbolic regression.

Mark Hauschild

He is a Ph.D. student in the department of Computer Science at the University of Missouri in St. Louis and a research assistant at the Missouri Estimation of Distribution Algorithms Laboratory (MEDAL). His research interests include efficiency enhancement of estimation of distribution algorithms (with a particular emphasis on exploiting prior knowledge), machine learning, scalability of evolutionary computation, probabilistic model building genetic programming and applying estimation of distribution algorithms to solve real-world problems.

Martin Pelikan

He received his Ph.D. from the Department of Computer Science at the University of Illinois at Urbana-Champaign in 2002. He joined the Department of Mathematics and Computer Science at the University of Missouri in St. Louis in 2003. Currently, he is an assistant professor of computer science and the director of the Missouri Estimation of Distribution Algorithms Laboratory (MEDAL). Pelikan's research focuses on genetic and evolutionary computation and machine learning. He worked at the Slovak University of Technology in Bratislava, the German National Center for Information Technology in Sankt Augustin, the Illinois Genetic Algorithms Laboratory (IlliGAL) at the University of Illinois at Urbana-Champaign, and the Swiss Federal Institute of Technology (ETH) in Zurich. Pelikan's most important contributions to genetic and evolutionary computation are the Bayesian optimization algorithm (BOA), the hierarchical BOA (hBOA), the scalability theory for BOA and hBOA, and efficiency enhancement techniques.

Ender Özcan

He is a lecturer in Operational Research and Computer Science with the Automated Scheduling, Optimisation and Planning (ASAP) research group in the School of Computer Science at the University of Nottingham, UK. He received his PhD from the Department of Computer and Information Science at Syracuse University, NY, USA in 1998. He worked as a lecturer in the Department of Computer Engineering at Yeditepe University, Istanbul, Turkey from 1998-2007. He established and led the ARTIficial Intelligence research group from 2002. He served as the Deputy Head of the Department from 2004-2007. Dr Özcan joined the ASAP group as a senior research fellow in 2008. He has been serving as an executive committee member for the LANCS initiative, which is one of the largest Science and Innovation Rewards given by EPSRC (Engineering and Physical Sciences Research Council, UK). His main research interests include intelligent decision support systems, search and optimisation using heuristics, hyper-heuristics, meta-heuristics, hybrid approaches and their theoretical foundations, and their applications to the real world and theoretical problems.

Andrew J. Parkes

He obtained a Ph.D. in theoretical physics in 1984 from King's College of the University of London. He then held research positions at the University of Southampton, CERN (the particle physics accelerator and research laboratory at Geneva, Switzerland), the University of California at Davis, USA, and the ETH in Zurich, Switzerland. In 1993 he changed from Physics to Artificial Intelligence and Computer Science. In 1999 he obtained a Ph.D., in Computer Science from the University of Oregon, USA, He became a faculty member of the Computational Intelligence Research Laboratory at the University of Oregon working on topics in combinatorial optimisation. In 2005 he joined the Automated Scheduling, Optimisation and Planning Research Group (ASAP) within the School of Computer Science of the University of Nottingham where he researched the management and planning of teaching space facilities within educational institutions. Since 2008 he has been a Lecturer in Operational Research and Computer Science at the University of Nottingham with particular responsibility to support the recent EPSRC-funded Science and Innovation award for "The LANCS Initiative: An initiative to build and maintain national research capacity in foundational Operational Research." He is a member of the LANCS executive committee and also coordinating a research cluster into the understanding of heuristics. He was on the organising committee for the 2007 International Timetabling competition. He is a co- inventor on two patents and has many refereed international publications.

Jonathan Rowe

He is a Reader in Natural Computation in the School of Computer Science at the University of Birmingham. He got his PhD from the University of Exeter in 1991 in Artificial Intelligence, and then worked in industry for British Maritime Technology. Returning to academia to complete post-doctoral studies (studying the evolution of neural networks in parallel genetic algorithms) he then became a Senior Researcher at De Montfort University, specialising in the theory of evolutionary algorithms. He joined the University of Birmingham in 2000 as a lecturer in Computer Science. As well as contributing to the theory of evolutionary algorithms, Rowe has many interdisciplinary research interests including complex systems, biological and social modelling, medical image understanding and quantum computation. He is on the editorial board of Evolutionary Computation (MIT Press) and Theoretical Computer Science (Elsevier).

Pascal Bouvry

He earned his undergraduate degree in Economical & Social Sciences and his Master degree in Computer Science with distinction ('91) from the University of Namur, Belgium . He went on to obtain his Ph.D. degree ('94) in Computer Science with great distinction at the University of Grenoble (INPG), France. His research at the IMAG laboratory focussed on Mapping and scheduling task graphs onto Distributed Memory Parallel Computers. Next, he performed post-doctoral research on coordination languages and multi-agent evolutionary computing at CWI in Amsterdam.

Dr Bouvry gained industrial experience as manager of the technology consultant team for FICS (SONE) a world leader in electronic financial services. Next, he worked as CEO and CTO of SDC, a Saigon-based joint venture between SPT (a major telecom operator in Vietnam), Spacebel SA (a Belgian leader in Space, GIS and Healthcare), and IOIT, a public research and training center. After that, Dr Bouvry moved to Montreal as VP Production of Lat45 and Development Director for MetaSolv Software (ORCL), a world-leader in Operation Support Systems for the telecom industry (e.g. AT&T, Worldcom, Bell Canada, etc).

Dr. Bouvry is currently heading the Computer Science and Communications (CSC) research unit of the Faculty of Sciences, Technology and Communications of Luxembourg University, and serving as Professor. Pascal Bouvry is also treasurer & member of the administration board of CRP-Tudor, and member of various scientific committees and technical workgroups (ERCIM WG, COST TIST, LIASIT, etc.)

Samee U. Khan

He received a B.S. degree from Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Pakistan, in May 1999, and a Ph.D. degree from the University of Texas, Arlington, TX, USA, in August 2007. Currently, he is Assistant Professor of Electrical and Computer Engineering at the North Dakota State University, Fargo, ND, USA. He is the founding director of bi-institutional and multi-departmental NDSU-CIIT Green Computing and Communications Laboratory (GCC Lab). The GCC Lab currently hosts 10 faculty members and over 35 research students. Moreover, he also is an Adjunct Professor of Computer Science, COMSATS Institute of Information Technology, Pakistan.
Prof. Khan has extensively worked on the general topic of resource allocation in autonomous heterogeneous distributed computing systems. As of recent, he has been actively conducting cutting-edge research on energy-efficient computations and communications. A total of 75 (journal: 27, conference: 42, book chapter: 3, technical report: 3) publications are attributed to his name. His current work has received external support in excess of $1.5M from the Fonds National de la Recherche Luxembourg, National Academies, and Higher Education Commission of Pakistan.

Prof. Khan is an associate editor of: (a) Cluster Computing, (b) International Journal of Communication Systems, and (c) Security and Communication Networks. He also serves on the editorial boards of: (a) Informatica, (b) Information Systems, (c) Interdisciplinary Sciences, (d) International Journal of Communication Networks and Distributed Systems, (e) International Journal of Distributed Systems and Technologies, (f) International Journal of Green Computing, (g) Journal of Information Technology Research, and (h) Multiagent and Grid Systems. Moreover, he is serving (or has served) as an editor for more than seven special issues related to sustainable computing and communications. Furthermore, he also has organized more than five conferences, tracks, and sessions on topics related to sustainable computing and communications.

Prof. Khan is serving (or has served) as general chair, program committee chair, organizing committee chair, and advisory board member for more than five conferences, such as ACM/IEEE/IFIP International Conference on High Performance Computing and Simulation (HPCS), International Conference on Metaheuristics and Naturally Inspired Computing (META), International Conference on Computational and Systems Biology (ICCSB), IEEE International Conference on Smart Grid and Home (SGH), IEEE/ACM International Conference on Green Computing and Communications (GreenCom), ACM International Conference on Frontiers of Information Technology (FIT), and European Conference on Modeling and Simulation (ECMS). Moreover, he is serving (or has served) on the technical program committees for more than 35 conferences, such as IEEE International Conference on Communications (ICC), IEEE Global Communications Conference (Globecom), IEEE Consumer Communications and Networking Conference (CCNC), and IEEE International Symposium on Multimedia (ISM).

Prof. Khan serves as a member of the steering committee of the IEEE Technical Area of Green Computing. He also is a member of the IEEE Technical Committee on Self-Organized Distributed and Pervasive Systems. Moreover, he also is a member of the European Association of Theoretical Computer Science, the Game Theory Society, the IEEE Communications Society, the IEEE Computer Society, and the Society of Photo-Optical Instrumentation Engineers. Furthermore, he is a domain expert for: (a) Agence Nationale de la Recherche (ANR), France; (b) The Research Council (TRC), Oman; (c) Science Foundations (NWO and STW), Netherlands.

Prof. Khan is the recipient of the John Steven Schuchman Memorial Outstanding Doctoral Student Award, University of Texas, Arlington, TX, USA, 2007 and the Nortel Outstanding Doctoral Dissertation Award, University of Texas, Arlington, TX, USA, 2008. He is the 2007 inductee of Upsilon Pi Epsilon, the Computer Science Honors Society. For more information, please visit: http://sameekhan.org/.

Gregoire Danoy

He received the Industrial Engineer Degree in Computer Science from Luxembourg University of Applied Sciences in 2003 and the M.S. degree in Web Intelligence from Ecole des Mines of Saint-Etienne, France, in 2004. He defended his PhD thesis entitled "A Multi-Agent Approach for Hybrid and Dynamic Coevolutionary Genetic Algorithms: Organizational Model and Real-World Problems Applications" in June 2008 with the University of Luxembourg and the Ecole des Mines of Saint-Etienne. Since August 2008 he is scientific collaborator in the Computer Science and Communications research unit (CSC) of the University of Luxembourg. His current research interests include nature inspired algorithms, green computing, vehicular ad hoc networks and multi-agent systems. He is actively participating in the following National and European research projects: TITAN (FNR/CORE - 2009/2010), WiSafeCar (EUREKA/CELTIC - 2009/2011) and GreenIT (FNR/CORE - 2010/2012). He is member of the COST Action IC0702 (Combining Soft Computing Techniques and Statistical Methods to Improve Data Analysis Solutions) and has a total of 22 publications (2 journal, 21 international conferences).

Alexandru-Adrian Tantar

He received his Ph.D. diploma in Computer Science in 2009 from the Universtiy of Lille. He was a member of INRIA Lille - Nord Europe (French National Institute for Research in Computer Science and Control, Lille branch) DOLPHIN Team, and of the Fundamental Computer Science Laboratory of Lille (LIFL). He was involved in the ANR Docking@GRID and the ANR CHOC projects (NSF French equivalent). From September 2009 until March 2010 he was a PostDoctoral Researcher in the Advanced Learning Evolutionary Algorithms (ALEA) Team, INRIA Bordeaux - Sud-Ouest, France, working on parallel and distributed techniques for interacting Markov chains based modeling and development. During his stay at INRIA Bordeaux - Sud-Ouest he co-organized the ALEA working group and he was a member of the organizing committee for the "Evolutionary Algorithms - Challenges in Theory and Practice" and the "Rare Events Simulation" Workshops, held in Bordeaux, in March, respectively November 2010. He addressed topics ranging from evolutionary computation and optimization, parallel and distributed algorithms and Monte Carlo based algorithms with applications in general optimization problems, bio-informatics and rare events simulation. He collaborated with the Atomic Energy Commission (CEA Life Sciences Division and CEA CESTA), the Biology Institute of Lille (IBL) and the Sea French Research Institute (IFREMER).
Since the 1st of April 2010, Dr. TANTAR is a PostDoctoral Researcher at the Computer Science and Communications (CSC) Research Unit, University of Luxembourg (AFR Grant). He is currently involved in the GreenIT (FNR Core 2010-2012) project which aims at providing a holistic autonomic energy-efficient solution to manage, provision and administer the various resources of Cloud Computing / HPC centers. Dr. TANTAR also animates and co-organizes the GRIPHON working group at CSC which regroups several topics on green and energy efficient computing. He is also participating to the Carbon Neutral ICT Operations program at the University of Luxembourg, Luxembourg, an interdisciplinary project aiming at providing solutions for a carbon-free environment for the Belval Campus, to be constructed for the University of Luxembourg. His current research interests address the modeling and the optimization of large scale dynamic systems having energy efficiency as a main objective.

Emilia Tantar

She received her Diploma degree in 2003 and MsC in 2005 in the field of Computational Optimization, both from the Computer Science Faculty at the "Al. I. Cuza University" in Iasi, Romania. In 2005 she joined the French National Institute for Research in Computer Science and Control(INRIA) in Lille. She was awarded the PhD title for Landscape analysis in multi-objective optimization in 2009 at the University of Lille 1. Between 2007 and 2009 she hold a lecturer position at the same university. During her PhD she was also awarded an INRIA Explorateurs scholarship to the CWI, Amsterdam, Netherlands. She developed a strong interest on new challenging aspects regarding landscape analysis in multi-objective, but also the theoretical foundations of stochastic methods and their scaling to practical problems. Before joining the CSC research unit, at the University of Luxembourg, in October 2010, she was an INRIA post-doctoral researcher in the Advanced Learning Evolutionary Algorithms (ALEA) team, at INRIA Bordeaux, dealing with performance guarantees factors for multi-objective particle methods, such as evolutionary algorithms and rare event simulation techniques.
Emilia was actively involved in the dissemination of research through the organization of the 1st Workshop on Evolutionary Algorithms - Challenges in Theory and Practice, supported by the EA association, France. It aimed at providing a unified view over the developments in evolutionary computation through different research fields, as computer science, mathematics and physics. Her main research interests concern the performance guarantee factors for online dynamic multi-objective optimization appearing in energy efficient optimization. This is motivated through the study of the stability of existing approaches by means of evolutionary particle like paradigms. Emilia is currently co-authoring with Oliver Schutze a book in Springer series, dealing with performance guarantees and landscape analysis in multi-objective optimization.

Bernabe Dorronsoro

He received the degree in engineering (2002) and the Ph.D. in Computer Science (2007) from the University of Malaga (Spain), and he is currently working as scientific collaborator at the Interdisciplinary Centre for Security, Reliability and Trust of the University of Luxembourg. His main research interests include energy efficient Grid and cloud computing, ad hoc networks, the design of new efficient meta-heuristics, and their application for solving complex real-world problems in the domains of logistics, telecommunications, bioinformatics, combinatorial, multiobjective, and global optimization. Dr. Dorronsoro has an international book (published in Springer-Verlag), eight international journals, six of them indexed in the ISI Journal Citation Report (JCR), six publications in the Lecture Notes in Computer Science (LNCS) series of Springer-Verlag, eight book chapters, and over 30 conference papers, obtaining awards and grants in some of these conferences. The publications of Dr. Dorronsoro are interesting for the research community, and an evidence is the high number of references to his work in the last five years (more than 250).