Tao Wang, phd

Dr. Tao Wang is associate professor in Peking University, and Director of the Laboratory for Affective Intelligent Robotics. He is Vice President of the Advanced Institute of Information Technology, Peking University. He received B.S. and Ph.D. degrees from Peking University in 1999 and 2006, respectively. From 2006 to 2008, he worked as Post-Doc researcher at Intel China Lab. Then he continued to work at Intel as Staff Research Scientist. He joined Peking University as a faculty member in Nov. 2010 (Executive Director of the Center for Energy-Efficient and Applications at PKU, from December 2010 to August 2016). He has published 70+ research papers, many of which were in top-conferences such as IROS, ISCA, MICRO, HPCA, MobiCom, and MobiSys, and in premier journals including IEEE TC, IEEE TMC, IEEE TWC and IEEE TCAD. He won Best Community Paper Award in MobiCom'17 (contributes the most to the broader research community), and some Best Paper Awards in other conferences. He has filed many authorized patents. He has also received many research funding supports from premier funding agencies. He won the award of “2008 Intel China Employee of the Year,” the highest individual award at Intel China. He also won many research/education awards in Ministry of Education and Beijing City. He has served as a TPC member on multiple international conferences. He is currently serving as Secretary-General of Beijing Computer Federation. He is also on the editorial board of “China Communications” and is the Leader of the Talent Development Working Group, Green Computing Consortium (China). His current research interests are: affective intelligent robotics, computer architecture and intelligent robot networks.

ABSTRACT

Emotion Recognition & Attention Analysis by Affective Robots

Techniques of artificial intelligence have entered a new round of rapid development since recent years. Intelligent robots are natural carriers of artificial intelligence. Affective robots are those intelligent robots that can accompany and interact with people with the capabilities of understanding and expressing emotions. Such robots will have a broad market prospect and play an important role in many application fields. Emotion recognition and attention analysis are techniques that make affective robots interact with human beings in a natural way. This report will introduce the basic techniques of emotion recognition and attention analysis and present some work done in the Laboratory for Affective Intelligent Robotics in Peking University.