Igor Aizenberg

Department Chairperson of Computer Science, Graduate Director of Computer Science- Graduate

Professor, Computer Science

Igor Aizenberg received the M.Sc. degree in mathematics from Uzhhorod National University (Ukraine) in 1982, and the Ph.D. degree in Computer Science from the Dorodnicyn Computing Center of the Russian Academy of Sciences (Moscow, Russia) in 1986, respectively. In 1982-1990, he was a Research Scientist with the Institute for Information Transmission Problems of the Academy of Sciences of the USSR (Moscow, Russia). In 1990-1993, he was an Assistant Professor and then in 1993-1996 and 1998-1999, he was an Associate Professor with the Dept. of Cybernetics at Uzhhorod National University (Uzhhorod, Ukraine). In 1996-1998, he was a Research Scientist with the Department of Electrical Engineering at the Catholic University of Leuven (Leuven, KU Leuven, Belgium). In 1999-2002, he was a Chief Research Scientist and VP Research at the company “Neural Networks Technologies” (Israel). In 2002-2006, he was a Visiting Research Professor at the University of Dortmund (Dortmund, Germany) and Tampere University of Technology (Tampere, Finland). In 2006-2016, he was Professor with the Department of Computer Science, Texas A&M University-Texarkana (Texarkana, TX) In 2003-2014, he also served as a Visiting Professor in the summer schools at the University of Zaragoza (Zaragoza, Spain), University of Nis (Nis, Serbia), P. Porto (Polytechnic of Porto, Portugal), and National Polytechnic Institute of Mexico (Mexico City, Mexico).
Since 2016 he is Professor and Chair of the Department of Computer Science at Manhattan College (Riverdale, NY).
His research interests include complex-valued neural networks, classification, pattern recognition, intelligent image processing, and spectral techniques.


Ph.D. in Computer Science from the Dorodnicyn Computing Center if the Academy of Sciences of the USSR (Moscow, Russia, 1986)
M.S. in Mathematics from Uzhhorod National University (Uzhhorod, Ukraine, 1982)

  • Research
    • Complex-Valued Neural Networks
    • Classification and prediction using neural networks
    • Intelligent image filtering
  • Honors, Awards, and Grants
    • $ 300,000 award from the National Science Foundation (2009-2012)
    • Fulbright Specialist Awards from the United States Department of State Bureau of Educational and Cultural Affairs (2014, 2015)