• Webinar Broadcast of "IEEE Expert Now" Module by Prof Prof. Leonid Perlovsky
• Live Commentary and Q&A Session by Prof. Konstantinos N. Plataniotis

• Prof. Leonid I. Perlovsky, Ph.D.
  Harvard University
• Prof. Konstantinos N. Plataniotis, Ph.D., P.Eng., FEIC, SIEEE
  Professor, ECE Department, Faculty of Applied Science and Engineering, Univesity of Toronto
  Director, Knowledge Media Design Institute (KMDI) of the The University of Toronto

Space is limited. Reserve your Webinar seat now at:
https://www2.gotomeeting.com/register/445001250

• Signals & Computational Intelligence Chapter
• IEEE Computational Intelligence Society
• IEEE Region 7 (IEEE Canada)

This webinar covers the rapidly evolving field of Computational Intelligence and focuses on the current understanding of the fundamental principles of working the mind, their computational implementations, and practical applications. This webinar covers mind mechanisms, including concepts, emotions, instincts, behavior, language, cognition, understanding, thinking, intuitions, conscious and unconscious, abilities for formation of symbols and aesthetic feelings. Computational techniques are given for these mechanisms and abilities.

The goal of this webinar is to provide a basic mathematical understanding of the working of the mind. Its secondary goal is to demonstrate practical applications of these mechanisms for pattern recognition, tracking, fusion, search engines, and for integrated systems combining sensor signals and communication data. Lastly, this course will outline future research directions. Historical and current difficulties in developing intelligent systems (IS) and applications will be discussed along with how the mind and new computational techniques overcome these difficulties. By the end of this webinar, learners will be familiar with several general applications addressed by IS, computational difficulties encountered over fifty years, and basic novel approaches to overcoming these difficulties.

After completing this webinar you should be able to develop an understanding of:

• Cognition
• Modeling Field Theory (MFT) of cognition
• Integration of cognition and language
• Cognitive algorithms for engineering applications
• Introduction to a theory of the mind
• Future research directions

• Leonid I. Perlovsky is Visiting Scholar at Harvard University, Technical Advisor and Principal Research Physicist at the Air Force Research Laboratory. His research interests include computational intelligence and neural networks; mathematical modeling of the mind and brain including higher cognitive functions, consciousness, emotions; abilities for beautiful, sublime, music; evolution of languages, cognition and cultures. He serves as Program Manager for DOD Semantic Web program and for several research projects. From 1985 to 1999 Chief Scientist at Nichols Research, a $0.5 B high-tech organization, leading the corporate research in intelligent systems, neural networks, sensor fusion, and data mining; previously, Professor at Novosibirsk University and New York University. He participated as a principal in commercial startups developing tools for natural language text understanding, biotechnology, and financial predictions. His financial company predicted the market crash following 9/11 a week before the event, apparently detecting illegal Al Qaeda trades, and later helped SEC tracking the perpetrators. Dr. Perlovsky delivered invited keynote and plenary talks, tutorial lectures at conferences and Universities worldwide; published about 60 papers in refereed scientific journals, 250 papers in conferences, authored 10 book chapters and three books, “Neural Networks and Intellect,” Oxford University Press 2001 (currently in the 3rd printing); “Neurodynamics of Higher-Level Cognition and Consciousness” (co-author R. Kozma), Springer 2007’ “Sapient Systems” (co-author R. Mayorga), Springer 2007. He leads an IEEE NNTC Task Force on The Mind and Brain, serves as Chair IEEE Boston Computational Intelligence Chapter, on several IEEE Committees, Organizing Committees for WCCI’06, IJCNN’07, Program Co-Chair for IJCNN’09, Program and General Chair for several IEEE conferences, Assistant Editor for “Transactions on Neural Networks,” Editor-at-large for “Natural Computations,” Editor-in-Chief for “Physics of Life Reviews.” He is interviewed on Radio and TV about workings of the human mind. Dr. Perlovsky received prestigious National and International awards, including several Best Paper awards, IEEE Distinguished Member Award, Boston Section 2005; Dr. Charles E. Ryan Memorial Award for outstanding in-house scientific efforts and achievement 2007, Air Force Research Laboratory; International Neural Network Society Gabor Award, 2007; McLucas Award 2007 (the top scientific US Air Force award).
• Konstantinos N. Plataniotis received his B. Eng. degree in Computer Engineering & Informatics from University of Patras, Greece and his M.S. and Ph.D. degrees in Electrical Engineering from Florida Institute of Technology (Florida Tech), Melbourne, Florida. He was with the Computer Science Department at Ryerson University, Ontario, Canada from July 1997 to June 1999. Dr. Plataniotis is currently a Professor with The Edward S. Rogers Sr. Department of Electrical and Computer Engineering at the University of Toronto in Toronto, Ontario, Canada, where he directs the Multimedia Laboratory. He is also an Adjunct Professor with the School of Computer Science at Ryerson University, a founding member and the inaugural Director – Research of the Identity, Privacy and Security Institute, IPSI, (www.ipsi.utoronto.ca). Kostas is the Director of the Knowledge Media Design Institute, KMDI, (www.kmdi.utoronto.ca ) at the University of Toronto. Dr. Plataniotis was the Guest Editor for the March 2005 IEEE Signal Processing Magazine special issue on Surveillance Networks and Services, and the Guest Editor for the EURASIP Applied Signal Processing Journal’s special issue on “Advanced Signal Processing & Pattern Recognition Methods for Biometrics”. He was a member of the 2008 IEEE Educational Activities Board, the Chair of the IEEE EAB Continuing Professional Education Committee, and the 2008 representative of the Computational Intelligence Society to the IEEE Biometrics Council. Dr. Plataniotis chairs the Examination Committee for the IEEE Certified Biometrics Professional (CBP) Program (www.ieeebiometricscertification.org), is a member of the Nominations Committee for the IEEE Council on Biometrics, a member of the Steering Committee for the IEEE Transaction on Mobile Computing and he serves as the Editor-in-Chief for the IEEE Signal Processing Letters from January 1, 2009 to December 31, 2011. Kostas was an Associate Editor for the IEEE Transactions on Neural Networks and the IEEE Signal Processing Letters, the Chair of the IEEE Toronto Signal Processing and Applications Toronto Chapter from 2000 to 2002, the 2004-05 Chair of the IEEE Toronto Section, and he has served on the 2006 as well as 2007 IEEE Admissions & Advancement Committee. He is a Fellow of the Engineering Institute of Canada, a Senior Member of IEEE, a registered professional engineer in the province of Ontario, and a member of the Technical Chamber of Greece. The recipient of numerous grants and research contracts as the principal investigator, he speaks internationally and writes extensively in his field and he has been a consultant to a number of companies. He has served as lecturer in 12 short courses to industry and continuing education programs; he is a contributor to fifteen books, the co-author of Color Image Processing and Applications, Springer Verlag, 2000, (ISBN-3-540-66953-1), the co-editor of Color Imaging: Methods and Applications, CRC Press, September 2006, (ISBN 084939774X) and he has published more than 300 papers in refereed journals and conference proceedings. In 2005 he became the recipient of the IEEE Canada Engineering Educator Award for “contributions to engineering education and inspirational guidance of graduate students”. Dr. Plataniotis is the joint recipient of the “2006 IEEE Trans. on Neural Networks Outstanding Paper Award” for the published in 2003 “Face recognition using kernel direct discriminant analysis algorithms”, IEEE Trans. on Neural Networks, Vol. 14, No 1, 2003. He was Guest Editor of the IEEE/Wiley Press volume on “Biometrics: Theory, Methods and Applications” published in October 2009 (ISBN: 9780470247822).
  http://www.dsp.utoronto.ca/~kostas/