Jacek Zurada

Professor, Electrical & Computer Engineering


Dr. Jacek M. Zurada has PhD degree in Electrical Engineering from Gdansk University of Technogy, Gdansk, Poland. He was a post-doc at the Swiss Federal Institute of Technology in Zurich. He now serves as a Professor of Electrical and Computer Engineering at the University of Louisville, Louisville, Kentucky, USA. In 2004-06 he served as Department Chair. He was a Visiting Professor at Princeton University, Northeastern University, Auburn University, the National University of Singapore, Nanyang Technological University in Singapore (as Nanyang Professor), Chinese University of Hong Kong, the University of Chile, Santiago, Toyohashi University of Technology, Japan, the University of Stellenbosch, South Africa, the University of Marie-Curie, Paris, France.

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Academic Experience

Dr. Zurada’s academic teaching emphasizes in-depth, project-based learning that should enable electrical/computer engineers to stay current as technology evolves during their careers. His specialty courses are in neural networks, computational intelligence, very large scale integrated circuit design and he offers research seminars. He has also served industry as a consultant and short course lecturer. He has advised 19 PhD students who now hold leadership positions with R&D industry, academia and government. He has also delivered 163 invited plenary conference presentations and seminars throughout the world. He also served as IEEE Distinguished Speaker for the Computational Intelligence and Circuits and Systems Societies in 1993-2011.

Research Interests

Dr. Zurada has authored several textbooks (Introduction to Artificial Neural Systems, Active RC Filters), edited several volumes (Computational Intelligence: Imitating Life, Knowledge-based Neurocomputing, Computational Intelligence: Research Frontiers) and has over 370 publications in computational intelligence, data mining, image/signal processing, bioinformatics and microelectronic systems. His original research discoveries include the lambda learning rule of a neuron, a technique for salient feature detection in neural network models, an algorithm for drug dosing prediction, methods of extraction of logic rules from data (including bioinformatics and text data), and the invention of the dynamic switching hysteresis and switching margins for fast VLSI logic circuitry. His research contributions have resulted in about 7500 citations.

Service Experience

Dr. Zurada is 2013 IEEE Vice-President - Technical Activities Elect (and 2014 VP-TA). He has held several IEEE leadership positions in the Publications, Products and Services and Technical Activities Boards, including Chair of the Periodicals Committee (2010-11). In 2012-13 he chaired the IEEE TAB Periodical Review and Advisory Committee. He is active in the IEEE Computational Intelligence Society and was its President (2004-‘05) and Editor-in-Chief of the IEEE Transactions on Neural Networks (1998-’03). He has also served as an Associate Editor of the IEEE Transactions on Circuits and Systems, Part I and II and as a Member of the Editorial Board of the Proceedings of the IEEE. He has served as a chair or member of about 140 conference committees.