Towards an Intelligent Edge: Communication Meets Learning – Dr Kaibin Huang, HKU

Friday Seminar
Date and time: December 07, 2018 09:30 AM - 10:30 AM
Place: EIT Digital Open Area, Floor 3, Elevator C, Electrum Building, Kista
Speaker: Dr Kaibin Huang, The University of Hong Kong

The University of Hong Kong

Abstract: With the prevalence of smartphones and IoT sensors on the network edge, namely edge devices, people envision an incoming new world of ubiquitous computing and ambient intelligence. This vision motivates Internet companies and wireless operators to develop technologies for deploying machine learning on the (network) edge giving rise to a new platform for supporting intelligent applications, called edge learning. This trend aims at leveraging enormous real-time data generated by billions of edge devices to train AI models. In return, downloading the learnt intelligence onto the devices will enable them to respond to real- time events with human-like capabilities. In this talk, I will sketch this shift of paradigm in computing and communication and propose various research opportunities crossing the two disciplines: wireless communications and machine learning.

Dr Kaibin Huang received the B.Eng. (first-class hons.) and the M.Eng. from the National University of Singapore, respectively, and the Ph.D. degree from The University of Texas at Austin (UT Austin), all in electrical engineering. Since Jan. 2014, he has been an assistant professor in the Dept. of Electrical and Electronic Engineering (EEE) at The University of Hong Kong. Presently, he serves as the lead cochair for the Wireless Comm. Symp. of IEEE Globecom 2017 and a TPC Co-chair for IEEE PIMRC 2017. He is an editor for IEEE Transactions on Green Communications and Networking, and IEEE Transactions on Wireless Communications. He was an editor for IEEE Journal on Selected Areas in

Communications (JSAC) series on Green Communications and Networking in 2015-2016, for IEEE Wireless Communications Letters in 2011-2016. Dr. Huang received the 2015 IEEE ComSoc Asia Pacific Outstanding Paper Award, Outstanding Teaching Award from Yonsei, Motorola Partnerships in Research Grant, the University Continuing Fellowship from UT Austin, and a Best Paper Award from IEEE GLOBECOM 2006.

Coffee and cake will be served

Link to webcast:



Vinnova Industry Excellence Center

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