Li Deng

Li Deng (IEEE M'89;SM'92;F'04) received the Ph.D. degree from the University of Wisconsin-Madison. He was an assistant professor (1989-1992), tenured associate professor (1992-1996) and Full Professor (1996-1999) at the University of Waterloo, Ontario, Canada. In 1999, he joined Microsoft Research, Redmond, WA, where he is currently Partner Research Manager of the Deep Learning Technology Center. Since 2000, he has also been an Affiliate Full Professor and graduate committee member at the University of Washington, Seattle, teaching a graduate course of Computer Speech Processing and serving on Ph.D. thesis committees. Prior to joining Microsoft, he conducted research and taught at Massachusetts Institute of Technology, ATR Interpreting Telecom. Research Lab. (Kyoto, Japan), and HKUST. He has been granted over 70 US or international patents in acoustics/audio, speech/language technology, large-scale data analysis, and machine learning with recent focus on deep learning. He received numerous awards/honors bestowed by IEEE, ISCA, ASA, Microsoft, and other organizations. His current (and past) research activities include deep learning and machine intelligence applied to big text data and to speech, image and multimodal processing, computational neuroscience and information representation, deep/recurrent/dynamic neural networks, automatic speech and speaker recognition, spoken language identification and understanding, speech-to-speech translation, machine translation, language modeling, information retrieval and data mining, web search, neural information processing, dynamic systems, machine learning and optimization, parallel and distributed computing, probabilistic graphical models, audio and acoustic signal processing, image analysis and recognition, compressive sensing, statistical signal processing, digital communication, human speech production and perception, acoustic phonetics, auditory speech processing, auditory physiology and modeling, noise robust speech processing, speech synthesis and enhancement, multimedia signal processing, and multimodal human-computer interactions.