Panel Session: Future Research and Funding Challenges for Computational Intelligence
| • Dr. Gary Fogel | • Dr. Garry Greenwood | • Dr. HisaoIshibuchi | • Dr. Chin-Teng (CT) Lin |
| • Dr. Nikhil R Pal | • Dr. Marios Polycarpou | • Dr. Jose Principe | • Dr. Paul Werbos |
| • Dr. Xin Yao | |||
Dr. Gary Fogel
Natural Selection Inc., USA
http://www.natural-selection.com/people_gfogel.html
Dr. Gary B. Fogel joined Natural Selection, Inc. in 1998 after completing the Ph.D. in biology from UCLA. His current research interests focus on the application of computational intelligence methods to problems in the biomedical sciences. These include biomarker discovery, sequence analysis, microRNA discovery, drug design, improved diagnosis, and biomedical pattern recognition. Dr. Fogel leads Natural Selection, Inc.’s efforts in biomedicine but also has led projects for industrial and defense related applications.
Dr. Fogel is a Fellow of the IEEE and member of Sigma Xi. He currently serves as editor-in-chief of BioSystems and as an associate editor for IEEE Transactions on Evolutionary Computation. He co-edited a volume on Evolutionary Computation in Bioinformatics published in 2003 (Morgan Kaufmann) and Computational Intelligence in Bioinformatics, published in 2008 (Wiley-IEEE Press). Dr. Fogel has assisted with many conferences and served as Conference Chair for the 2010 IEEE Congress on Evolutionary Computation, and as general chair for the 2004 and 2005 IEEE Symposia on Computational Intelligence in Bioinformatics and Computational Biology. Dr. Fogel serves on the IEEE Computational Intelligence Society Executive Committee (ExCom) as Vice President for Conferences (2010-2012).
Dr. Fogel’s responsibilities as CEO are to provide leadership towards maintaining Natural Selection, Inc.’s excellence in real-world applications of computational intelligence methods. Dr. Fogel assists in developing and advancing a company strategic plan for its mission and objectives and promotes revenue, profitability, and growth. Dr. Fogel oversees business operations to ensure production efficiency, quality, service, and cost-effective management of resources. He assists in developing and authorizing company operational procedures, policies, and standards.
Dr. Garry Greenwood
Portland State University, USA
greenwd@ece.pdx.edu
Garrison Greenwood received a Ph.D. in Electrical Engineering from the University of Washington in Seattle, Washington.
After spending more than a decade in industry designing multiprocessor embedded system hardware he entered academia. Since 2000 he has been a professor in the Department of Electrical and Computer Engineering at Portland State University in Portland, Oregon. He has served on numerous conference organizing committees including the General Chair of the IEEE Congress on Evolutionary Computation in 2004 and 2012. From 2006 to 2009 he was the Vice-President (Conferences) for the IEEE Computational Intelligence Society. He is currently the Editor-in-Chief of the IEEE Transactions on Evolutionary Computation. His research interests are evolutionary game theory, agent-based systems and evolvable/adaptive hardware. Dr. Greenwood is a registered profession electrical engineer in the State of California.
Dr. HisaoIshibuchi
Osaka Prefecture University, Japan
http://www.ie.osakafu-u.ac.jp/~hisaoi/ci_lab_e/personal/ishibuchi/
Dr. HisaoIshibuchi has been a full professor at Graduate School of Engineering, Osaka Prefecture University since 1999. His research interests include evolutionary multiobjective optimization, fuzzy rule-based classifiers, and evolutionary games. He received a JSPS Prize in 2007, and a Best Paper Award from GECCO 2004, HIS-NCEI 2006, FUZZ-IEEE 2009, WAC 2010, SCIS & ISIS 2010 and FUZZ-IEEE 2011. Currently, he is the IEEE CIS Vice-President for Technical Activities, and an Associate Editor of IEEE CIM, IEEE T-FS, IEEE T-EVC, IEEE T-CYB, and IEEE Access. He is also a Program or Technical Co-Chair of SSCI 2013, CEC 2013, FUZZ-IEEE 2013, and CEC 2014.
Dr. Chin-Teng (CT) Lin
National Chiao-Tung University, Taiwan
http://ctlin.nctu.edu.tw/faculty/ctlin/index_en.htm
Professor Chin-Teng Lin received the B.S. degree from National Chiao-Tung University (NCTU), Taiwan in 1986, and the Master and Ph.D. degree in electrical engineering from Purdue University, USA in 1989 and 1992, respectively. He is currently the Provost, Lifetime Chair Professor of Electrical and Computer Engineering, and Director of Brain Research Center, National Chiao Tung University. He is also invited as the International Faculty of University of California at San-Diego (UCSD) from 2011 to 2013. Professor Lin was elected to be an IEEE Fellow for his contributions to biologically inspired information systems in 2005. He was awarded the Outstanding Electrical and Computer Engineer (OECE) by Purdue University in 2011. Professor Lin has also served as the Editor-in-Chief (EIC) of IEEE Transactions on Fuzzy Systems (Impact Factor: 4.26, Top 4.5% of all 111 Computer Science journals, and 3.5% of 244 Electrical Engineering category) since 2011; he is the first and only one EIC of IEEE journals from Taiwan. Professor Lin is also the Co-Founding Editor-in-Chief of Journal of Neuroscience and Neuroengineering published by American Scientific Publishers since 2012. He received the Merit NSC Research Fellow Award by National Science Council (NSC) of Taiwan in 2007, the highest and lifetime research achievements award in Taiwan NSC; he was the youngest one receiving this awards.
Professor Lin has been granted a project Cognition and Neuroergonomics; Collaborative Technology Alliance (CTA) from 2010 to 2014 by Army Research Lab of USA, the first time that ARL supports on Taiwan’s organization for cognition research, and it is one of the major projects of neuroscience and engineering research in USA. Professor Lin has published about 170 journal papers (including more than 70 High Impact papers), 2 text books, and over 200 conference papers. He also has 26 approved patents in total over 50 issued patents. According to the statistics of Google Scholar, Prof. Lin’s h-Index is 36 (with 36 papers receiving more than 36 citations) and total citation is 8778.
Dr. Nikhil R Pal
Indian Statistical Institute, India
http://www.isical.ac.in/~nikhil/
Nikhil R. Pal is a Professor in the Electronics and Communication Sciences Unit of the Indian Statistical Institute. His current research interest includes bioinformatics, brain science, fuzzy logic, image and pattern analysis, neural networks, and evolutionary computation.
He was the Editor-in-Chief of the IEEE Transactions on Fuzzy Systems for the period January 2005-December 2010. He has served/been serving on the editorial /advisory board/ steering committee of several journals including the International Journal of Approximate Reasoning, Applied Soft Computing, Neural Information Processing—Letters and Reviews, International Journal of Knowledge-Based Intelligent Engineering Systems, International Journal of Neural Systems, Fuzzy Sets and Systems, International Journal of Intelligent Computing in Medical Sciences and Image Processing, Fuzzy Information and Engineering : An International Journal, IEEE Transactions on Fuzzy Systems and the IEEE Transactions on Systems Man and Cybernetics—B.
He has given many plenary/keynote speeches in different premier international conferences in the area of computational intelligence. He has served as the General Chair, Program Chair, and co-Program chair of several conferences. He was a Distinguished Lecturer of the IEEE Computational Intelligence Society (CIS) and was a member of the Administrative Committee of the IEEE CIS (2010-2012). At present he is the Vice President for Publications of the IEEE CIS. He is the General Chair of 2013 IEEE International Conference on Fuzzy Systems.
He is a Fellow of the National Academy of Sciences, India, a Fellow of the Indian National Academy of Engineering, a Fellow of the Indian National Science Academy, a Fellow of the International Fuzzy Systems Association (IFSA), and a Fellow of the IEEE, USA.
Dr. Marios Polycarpou
University of Cyprus, Cyprus
http://www.kios.ucy.ac.cy/polycarpou/
Marios M. Polycarpou is a Professor of Electrical and Computer Engineering and the Director of the KIOS Research Center for Intelligent Systems and Networks at the University of Cyprus. He received the B.A. degree in Computer Science and the B.Sc. degree in Electrical Engineering both from Rice University, USA in 1987, and the M.S. and Ph.D. degrees in Electrical Engineering from the University of Southern California, in 1989 and 1992 respectively. In 1992, he joined the University of Cincinnati, Ohio, USA, where he reached the rank of Professor of Electrical and Computer Engineering and Computer Science. In 2001, he was the first faculty to join the newly established Department of Electrical and Computer Engineering at the University of Cyprus, where he served as founding Department Chair from 2001 to 2008. His teaching and research interests are in intelligent systems and networks, automation and computational intelligence, fault diagnosis and distributed systems. Dr. Polycarpou has published more than 220 articles in refereed journals, edited books and refereed conference proceedings, and he is the holder of 3 patents. Prof. Polycarpou is a Fellow of the IEEE and currently serves as the President of the IEEE Computational Intelligence Society. He has served as the Editor-in-Chief of the IEEE Transactions on Neural Networks and Learning Systems between 2004-2010. He has been invited as Keynote Plenary Speaker at 15 international conferences during the last three years and is currently an IEEE Distinguished Lecturer in computational intelligence. He participated in more than 50 research projects/grants, funded by several agencies and industry in the European Union, the United States, and by the Research Promotion Foundation of Cyprus. He has recently been awarded the prestigious European Research Council (ERC) Advanced Grant by the European Commission.
Dr. Jose Principe
University of Florida, USA
http://cnel.ufl.edu/people/people.php?name=principe
Jose C. Principe (M’83-SM’90-F’00) is a Distinguished Professor of Electrical and Computer Engineering and Biomedical Engineering at the University of Florida where he teaches advanced signal processing, machine learning and artificial neural networks (ANNs) modeling. He is BellSouth Professor and the Founder and Director of the University of Florida Computational NeuroEngineering Laboratory (CNEL) www.cnel.ufl.edu. His primary area of interest is processing of time varying signals with adaptive neural models. The CNEL Lab is studying signal and pattern recognition principles based on information theoretic criteria (entropy and mutual information) and applying these advanced algorithms to Brain Machine Interfaces (both motor as well as somatosensory feedback).
Dr. Principe is an IEEE, ABME, AIBME Fellow. He is the Past-Editor in Chief of the IEEE Transactions on Biomedical Engineering, past Chair of the Technical Committee on Neural Networks of the IEEE Signal Processing Society, and Past-President of the International Neural Network Society. He received the IEEE EMBS Career Award, and the IEEE Neural Network Pioneer Award. He has Honorary Doctor Degrees from the U. of Reggio Calabria Italy, S. Luis Maranhao Brazil and Aalto U. in Finland. Currently he is the Editor in Chief of the IEEE Reviews in Biomedical Engineering. Dr. Principe has more than 600 publications. He directed 73 Ph.D. dissertations and 65 Master theses. He wrote four books: an interactive electronic book entitled “Neural and Adaptive Systems: Fundamentals through Simulation” (Wiley), “Brain Machine Interface Engineering”, Kernel Adaptive Filtering (Wiley), and Information Theoretic Learning (Springer).
Dr. Paul Werbos
National Science Foundation, USA
http://www.nsf.gov/staff/staff_bio.jsp?lan=pwerbos&org=NSF
www.nss.org/about/bios/werbos.html
Dr. Paul Werbos has responsibility for the following Core ECCS areas: Adaptive and Intelligent Systems (AIS), Quantum systems and device modeling (QMHP), and systems-level power grids (GRID). Use of these acronyms in a proposal title would encourage us to handle them in the panels for those areas. Also handles the EFRI 2008 topic in Cognitive Optimization and Prediction (engineering-neuroscience collaboration to reverse engineer intelligence)
Dr. Werbos has led a variety of other areas, such as fuel cell and electric vehicles, emerging technologies, cyber systems and the sustainability part of IDR since he started at NSF in 1988. He is a Fellow of IEEE and INNS, a winner of the IEEE Neural Networks Pioneer Award and winner of the Hebb Award for 2011 from the International Neural Network Society (INNS). The Hebb Award is INNS’s highest award, to honor substantive contributions to the understanding of biological learning systems. The biography going with this award reads:
Paul Werbos began training as a mathematician, taking many university courses culminating in the graduate course in logic from Alonzo Church at Princeton while in middle and high school. Realizing the limits of deductive logic, he began his quest to understand inductive logic and intelligence in the mind back in those days, inspired by the work of John Von Neumann, Donald Hebb and early AI (Feigenbaum and Feldman). He obtained two degrees in economics from Harvard and the London School of Economics, divided equally between using mathematical economics as a model for distributed intelligence and developing some broader understanding. For his Harvard M.S., he took courses in quantum field theory (QFT) from Julian Schwinger, but did not fully understand the subject until many years later, after he started an activity in quantum technology and modeling at NSF (see his papers at http://arxiv.org/.) For his 1974 Harvard PhD thesis (reprinted in The Roots of Backpropagation, Wiley 1994), he proposed the development of more powerful, more biologically plausible reinforcement learning systems by the then new idea of using neural networks to approximate dynamic programming (ADP), including the value function. In order to implement ADP in a local biologically plausible manner, he translated Freud’s theory of “psychic energy” into an algorithm later called backpropagation, and a rigorous general theorem, the chain law for ordered derivatives, which later also became known as the reverse method or adjoint method for automatic or circuit-level differentiation. He has spent many years advancing the fields of ADP and backpropagation and brain-like prediction, aimed at developing and demonstrating the kind of designs which could actually explain the kind of general intelligence we see in the brain and in subjective human experience – collaborating at times with Karl Pribram and Walter Freeman and Pellionisz among others, and proposing biological experiments to test the theory. In looking for applications which are really important to areas like energy, sustainability and space, he has also gotten deep into domain issues and organization, as reflected at http://www.werbos.com/, serving on boards of the National Space Society, the Millennium Project, the Lifeboat Foundation, and the IEEE Energy Policy Committee, and as a Fellow in the Senate in 2009. From 1980-1989, he developed official econometric forecasting models (two based on backpropagation) and was lead analyst for the long-term future at EIA in the Department of Energy.
Dr. Xin Yao (Moderator, Chair)
University of Birmingham, UK
http://www.cs.bham.ac.uk/~xin/
Xin Yao is a Chair (Professor) of Computer Science and the Director of CERCIA (the Centre of Excellence for Research in Computational Intelligence and Applications), University of Birmingham, UK. He is an IEEE Fellow and a Distinguished Lecturer of IEEE Computational Intelligence Society (CIS). His work won the 2001 IEEE Donald G. Fink Prize Paper Award, 2010 IEEE Transactions on Evolutionary Computation Outstanding Paper Award, 2010 BT Gordon Radley Award for Best Author of Innovation (Finalist), 2011 IEEE Transactions on Neural Networks Outstanding Paper Award, and many other best paper awards at conferences. He won the prestigious Royal Society Wolfson Research Merit Award in 2012 and was selected to receive the 2013 IEEE CIS Evolutionary Computation Pioneer Award. He was the Editor-in-Chief (2003-08) of IEEE Transactions on Evolutionary Computation. He has been invited to give more than 70 keynote/plenary speeches at international conferences.
His major research interests include evolutionary computation and ensemble learning. He has more than 400 refereed publications in international journals and conferences.