Leonid I. Perlovsky

Bio

Dr. Leonid Perlovsky is CEO LP Information Technology and Professor at Northeastern University Psychology Department, past Visiting Scholar at Harvard School of Engineering and Applied Science, at Harvard Medical School Athinoula Martinos Brain Imaging Center, Technical Advisor and Principal Research Scientist at the AF Research Lab. He has created a new area of cognitive mathematical engineering, dynamic logic, which models the mind processes and solves a number of problems in engineering and cognitive science unsolvable for decades, by overcoming computational complexity. He connected Gödelian results to psychology and engineering: using logic leads to unsolvable computational complexity. He leads research projects on mathematical models of the mind, emotionality of languages and cultures, cognitive functions of emotions of language and music, hierarchy of abstract models, models of cultures. Predictions of these models have been experimentally confirmed in several Labs around the Globe. Cognitive algorithms for recognition of signals/images below noise and clutter improved performance by 1000s times and solved previously unsolvable problems: learning situations; finding patterns among complex data, learning hierarchy of abstract models. Formerly Chief Scientist at Nichols Research, a $500mm high-tech DOD contractor, professor at Novosibirsk University and New York University; principal in commercial startups developing tools for text understanding, biotechnology, and financial predictions. His company predicted 9/11 market crash a week before the event and collaborated with SEC investigation. He is invited as a keynote plenary speaker and tutorial lecturer worldwide, including most prestigious venues such as the Nobel Forum; published near 500 papers, 17 book chapters, and 4 books with Oxford and Springer; awarded 2 patents. Dr. Perlovsky participates in organizing conferences on Computational Intelligence, serves as Chair for the IEEE Task Force on The Mind and Brain, on the International Neural Network Society (INNS) Board of Governors, on the INNS Big Data conference organizing committee, past INNS Chair of The Award Committee and Chair for the IEEE Boston Computational Intelligence Chapter. He has founded and serves as Editor-in-Chief for “Physics of Life Reviews,” the IF=9.5, ranked #4 in the world. He received National and International awards including The Best Paper Award at Russian most prestigious essayistic magazine, Zvezda; the Gabor Award, the top engineering award from the INNS; and the John McLucas Award, the highest US Air Force Award for basic research.