Israel Cohen (M’01-SM’03-F’15) is the Louis and Samuel Seidan Professor in electrical and computer engineering at the Technion – Israel Institute of Technology, Haifa, Israel. He is an IEEE Fellow “for contributions to the theory and application of speech enhancement” (since 2015), and Distinguished Lecturer of the IEEE Signal Processing Society (2019-2020).
He received the B.Sc. (Summa Cum Laude), M.Sc. and Ph.D. degrees in electrical engineering from the Technion- Israel Institute of Technology, Haifa, Israel, in 1990, 1993 and 1998, respectively. From 1990 to 1998, he was a Research Scientist with RAFAEL Research Laboratories, Haifa, Israel Ministry of Defense. From 1998 to 2001, he was a Postdoctoral Research Associate with the Computer Science Department, Yale University, New Haven, CT, USA. In 2001 he joined the Faculty of Electrical and Computer Engineering at the Technion.
He is a coeditor of the Multichannel Speech Processing Section of the Springer Handbook of Speech Processing (Springer, 2008), and a coauthor of Fundamentals of Signal Enhancement and Array Signal Processing (Wiley-IEEE Press, 2018).
He was the recipient of the Norman Seiden Prize for Academic Excellence (2017), the SPS Signal Processing Letters Best Paper Award (2014), the Alexander Goldberg Prize for Excellence in Research (2010), and the Muriel and David Jacknow Award for Excellence in Teaching (2009).
He was an Associate Editor, IEEE Transactions on Audio, Speech and Language Processing (2004-2007); Associate Editor, IEEE Signal Processing Letters (2004-2008); Member, IEEE Audio and Acoustic Signal Processing Technical Committee (2012-2017); Member, IEEE Speech and Language Processing Technical Committee (2013-2015); Guest Editor, European Association for Signal Processing Journal on Advances in Signal Processing Special Issue on Advances in Multimicrophone Speech Processing; and Guest Editor, Elsevier Speech Communication Journal a Special Issue on Speech Enhancement.
His research interests are array processing, statistical signal processing, deep learning, analysis and modeling of acoustic signals, speech enhancement, noise estimation, microphone arrays, source localization, blind source separation, system identification and adaptive filtering.