mobile and wireless networking, 3GPP standards, game theory for communications and networking, wireless multimedia, IoT, edge/fog computing, EV, machine learning
研究領域摘要:
Research Summary:
Next generation broadband wireless access architecture and standardization (5G/6G, 3GPP standards)
We have been participated in international activities
3GPP
NGMN Forum
IEEE Standard Association (1934, 1935 standards)
IEEE 802.11
EU-TW Clear 5G Factory of Future project
Fog/edge computing and networking
IoT (e.g. URLLC, Factory of Future, V2X, NTN Satellite IoT)
Game theory models, pricing, and incentive mechanism design for communications and computing
Multimedia over wireless networks
QoE-aware DASH streaming
Video analytics for IoT networks
Machine Learning
ML/AI will play a key role in the next generation wireless network.
AI for wireless/edge computing
ML/AI will be used as a power tool for self-organized wireless network configuration and operations
Wireless/edge computing for AI
Wireless connectivity serves as enabling technology to connect people (and machines) to AI-driven applications. We aim to design the next generation wireless technologies to better serve AI applications.
Integration between machine learning and edge/fog computing
We apply ML/AI to several vertical applications (e.g. vehicular, medical applications)
B.S.
National Taiwan University, 1999
M.S.
Columbia University, 2001
Ph.D.
Columbia University, 2005
Address
EE2-238,
Department of Electrical Engineering,
National Taiwan University,
Taipei 106, Taiwan