Primary AffiliationIntelligence, Learning, and Plasticity
Mark Hasegawa-Johnson received his S.B., S.M., and Ph.D. degrees from MIT. Since 1999 he has been on the faculty at the University of Illinois, where he is now a Professor of Electrical and Computer Engineering. Dr. Hasegawa-Johnson is a Fellow of the Acoustical Society of America, and a Senior Member of the ACM and IEEE. His work on multimedia analytics was the topic of an article on futurity.org; he is listed annually in Marquis Who's Who in the World. He is Associate Editor of the Journal of the Acoustical Society of America, and of the journal Laboratory Phonology, as well as being a member of the IEEE Speech and Language Technical Committee. He has given invited presentations at the 2008 National Academy of Engineering Japan-America Foundations of Engineering symposium (JAFOE), at the 2009 Machine Learning Summer School, at the 2011 International Conference on Machine Learning ISCA-ACL Symposium, and at conferences and corporations in fifteen countries. He is author or co-author of 50 journal articles, 190 conference papers and abstracts, and 4 patents. As of January, 2014, scholar.google.com listed 2843 citations of his published work.
Dr. Hasegawa-Johnson's research is focused on the area of automatic speech recognition, with a particular focus on the mathematization of linguistic concepts. In the past five years, Dr. Hasegawa-Johnson's group has developed mathematical models of concepts from linguistics including a rudimentary model of pre-conscious speech perception (the landmark-based speech recognizer), a model that interprets pronunciation variability by figuring out how the talker planned his or her speech movements (tracking of tract variables from acoustics, and of gestures from tract variables), and a model that uses the stress and rhythm of natural language (prosody) to disambiguate confusable sentences.