Yongyi Mao received his Bachelor of Engineering degree at the
Southeast University (Nanjing, China) in 1992. In 1995, he received his
medical degree at
Nanjing Medical University (Nanjing, China). In 1998, Yongyi Mao obtained
his Master of Science degree at the University of Toronto, in the
Department of
Medical Biophysics . In 2003, he completed his PhD in electrical engineering at
the University of Toronto and joined the faculty of School of
Electrical Engineering and Computer Science (at the time known
as School of Information Technology and Engineering) at the University of
Ottawa as an Assistant Professor. He was promoted to Associate Professor in 2008 and then to Full
Professor in 2012.
Yongyi Mao's research has spanned communication, information theory and machine learning.
His present research interest primarily lies in understanding the modern paradigm of deep learning, improving
the paradigm, and applying it to various application areas including
natural language processing, knowledge bases, communications and biology
and medicine.
Yongyi Mao regularly teaches graduate courses in information theory, error control coding, probabilistic
graphical models, and deep learning and reinforcement learning.
Yongyi Mao served as an Editor for IEEE Transactions on Wireless Communications, and
Associate Editor for IEEE Transactions on Information Theory.
|
Yongyi Mao received his Bachelor of Engineering degree at the
Southeast University (Nanjing, China) in 1992. In 1995, he received his
medical degree at
Nanjing Medical University (Nanjing, China). In 1998, Yongyi Mao obtained
his Master of Science degree at the University of Toronto, in the
Department of
Medical Biophysics . In 2003, he completed his PhD in electrical engineering at
the University of Toronto and joined the faculty of School of
Electrical Engineering and Computer Science (at the time known
as School of Information Technology and Engineering) at the University of
Ottawa as an Assistant Professor. He was promoted to Associate Professor in 2008 and then to Full
Professor in 2012.
Yongyi Mao's research has spanned communication, information theory and machine learning. His present research interest primarily lies in understanding the modern paradigm of deep learning, improving the paradigm, and applying it to various application areas including natural language processing, knowledge bases, communications and biology and medicine. Yongyi Mao regularly teaches graduate courses in information theory, error control coding, probabilistic graphical models, and deep learning and reinforcement learning. Yongyi Mao served as an Editor for IEEE Transactions on Wireless Communications, and Associate Editor for IEEE Transactions on Information Theory. |
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