Dr. Li Deng is elected to be a Fellow of the National Academy of Engineering of Canada in April 2019.
He has been the Chief Artificial Intelligence Officer of Citadel since May 2017. Prior to Citadel, he was the Chief Scientist of AI, the founder of the Deep Learning Technology Center, and Partner Research Manager at Microsoft and Microsoft Research , Redmond (2000-2017). Prior to Microsoft, he was an assistant professor (1989-1992), tenured associate (1992-1996), and full professor (1996-1999) at the University of Waterloo in Ontario, Canada. He also held faculty or research positions at Massachusetts Institute of Technology (Cambridge, 1992-1993), Advanced Telecommunications Research Institute (ATR, Kyoto, Japan, 1997-1998), and HK University of Science and Technology (Hong Kong, 1995). He is a Fellow of the IEEE (since 2004), a Fellow of the Acoustical Society of America (since 1993), and a Fellow of the ISCA (since 2011). He has also been an Affiliate Professor at University of Washington, Seattle (since 2000).
He was an elected member of the Board of Governors of the IEEE Signal Processing Society, and was Editors-in-Chief of IEEE Signal Processing Magazine and of IEEE/ACM Transactions on Audio, Speech, and Language Processing (2008-2014), for which he received the IEEE SPS Meritorious Service Award. In recognition of the pioneering work on disrupting speech recognition industry using large-scale deep learning, he received the 2015 IEEE SPS Technical Achievement Award for “Outstanding Contributions to Automatic Speech Recognition and to Deep Learning”. He also received dozens of best paper and patent awards (the latest — 2018 IEEE Signal Processing Society Best Paper Award) for the contributions to artificial intelligence, machine learning, information retrieval, multimedia signal processing, speech processing and recognition, and human language technology. He is an author or co-author of six technical books on deep learning, speech processing, pattern recognition and machine learning, and, the latest, natural language processing (Springer, June 2018).
Experienced Chief Officer with demonstrated history of leadership in high tech and finance industries. Strong technical, executive management and business development expertise, skilled in Artificial Intelligence, Machine Learning, Mathematical/Statistical Modeling, Computer Science, Speech Recognition, Natural Language Processing, Deep Learning, Neural Nets, Big Data Analytics, and Quantitative Financial Engineering.
Li Deng (IEEE M’89;SM’92;F’04) received the Bachelor degree from Univ. Science & Technology of China (USTC; received Guo Mo-Ruo Award), and Master and Ph.D. degrees from the University of Wisconsin-Madison, US (received Jerzy Rose Award). 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, USA, where currently he leads R&D of deep learning as a Partner Research Manager of its Deep Learning Technology Center he founded in 2014. Since January 2016, he has also taken new responsibilities in the company as a Chief Scientist of AI and as the head of Microsoft AI School.
Prior to joining Microsoft, he conducted research and taught at Massachusetts Institute of Technology, ATR Interpreting Telecommunications Research Lab. (Kyoto, Japan), and HKUST. He has been granted over 70 US or international patents in acoustics/audio, speech/language technology, large-scale natural language and enterprise/internet data analysis, and in machine learning with recent focus on deep learning.
In the general areas of audio/speech/language technology and science, AI, machine learning, signal/information processing, and other areas of computer science, he has published over 300 refereed papers in leading journals and conferences, and authored or co-authored 5 books including the latest books of Deep Learning: Methods and Applications and of Automatic Speech Recognition: A Deep-Learning Approach (Springer). He is a Fellow of the Acoustical Society of America, a Fellow of the IEEE, and a Fellow of the International Speech Communication Association. He served on the Board of Governors of the IEEE Signal Processing Society (2008-2010), and as Editor-in-Chief for the IEEE Signal Processing Magazine (2009-2011), which earned the highest impact factor in 2010 and 2011 among all IEEE publications and for which he received the 2012 IEEE SPS Meritorious Service Award. More recently, he served as General Chair of the IEEE ICASSP-2013 and area chairs of NIPS, and as Editor-in-Chief for the IEEE/ACM Transactions on Audio, Speech and Language Processing (2012-2014). His technical work since 2009 (when he initiated deep learning research and technology development at Microsoft with Geoff Hinton) and the leadership in industry-scale deep learning have created high impact in speech recognition, language processing, and business data analytics. His work has been in use in major Microsoft speech and text/data-related products, has helped initiate the resurgence of (deep) neural networks in the modern big-data, big-compute era, and has been recognized by IEEE SPS Technical Achievement Award, several IEEE SPS Best Paper Awards, IEEE Outstanding Engineer Award, APSIPA Industrial Distinguished Leader Award, and Microsoft Goldstar and Technology Transfer Awards.