Professor Hsin-Mu Tsai Received the Prestigious 2013 Intel Early Career Faculty Award!

Poster:Post date:2013-11-05
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Professor Hsin-Mu (Michael) Tsai, an assistant professor in Department of Computer Science and Engineering and a principle investigator (PI) in the Intel-NTU Connected Context Computing Center, has received the prestigious 2013 Intel Early Career Faculty Award for his outstanding research achievements in next-generation vehicle safety system. Professor Tsai is the first award recipient that is based in an Asian institution. The award was announced at Intel Labs' first annual University Collaborative Symposium, held June 25-26 in San Francisco, U.S.

The award program provides financial and networking support to those faculty members who are early in their careers and show great promise as future academic leaders in disruptive computing technologies. The purpose of the program is to help promote the careers of promising early career faculty members and to foster long-term collaborative relationships with senior technical leaders at Intel. In this year’s award program, in addition to Professor Tsai, the awards are given to faculty members at 9 U.S. universities and 5 EU universities, including Cornell University, Princeton University, UCLA, Georgia Institute of Technology, and ETH Zurich.

Since joining National Taiwan University, Prof. Tsai’s research focus has been to develop fundamental communication and data analyzing technologies for next-generation vehicle safety systems that can be adopted by not just cars, but also the scooters (motorbikes), as scooter riders make up more than 90% of deaths in traffic accidents in Taiwan in the past decade. He believes that, using a new “collaborative” paradigm, it is possible to produce a much safer, yet more cost-efficient, vehicle safety system. His current research tasks include the development of a smart automotive lighting system that could enable direct vehicle-to-vehicle communications and accurate positioning with visible light emitted from LED tail lights and head lamps, and vehicle behavior models that can predict red-light running events or detect traffic congestion with sensor data collected from mobile devices such as smartphones.

Prof. Tsai received his B.S.E. in Computer Science and Information Engineering from National Taiwan University and his M.S. and Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University. During his Ph.D. studies, he spent four summers (2005-2009) as an intern researcher in Electrical and Control Integration Laboratory at General Motors Research and Development. He returned to join National Taiwan University in 2010. Prof. Tsai is a recipient of National Taiwan University’s Distinguished Teaching Award in 2013. He is currently the PI of the project “Next-Generation Cooperative Vehicle Safety System” in Intel-NTU Connected Computing Center.


Left to right:

·         Limor Fix – Director, University Collaborative Research, Intel Labs
·         Michael Tsai
·        Kimberly Sills – Director, University Program Office, Intel Labs
·         John Somoza – Program Manager, University Program Office, Intel Labs

Last modification time:2014-11-12 AM 9:47

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