Yusheng Ji of National Institute of Informatics (NII)

Abstract: In large scale distributed systems such as massive Machine-Type Communications (mMTC) systems, decentralized control mechanisms could be more efficient than centralized ones. In order to have a large amount of devices to act autonomously and cooperatively for achieving better system performance, this talk will focus on applying multi-agent learning techniques for autonomous resource allocation in large-scale distributed systems.

Biography:

Yusheng Ji received the B.E., M.E., and Ph.D. degrees in Electrical Engineering from the University of Tokyo. She joined the National Center for Science Information Systems (NACSIS), Tokyo, Japan in 1990. She is currently a Professor at National Institute of Informatics (NII), Tokyo, Japan, and the Graduate University for Advanced Studies (SOKENDAI), Japan. Her research interests include network resource management and mobile computing. She has received many best paper awards, including IEEE ComSoc Outstanding Paper Award, Andrew P. Sage Best Transactions Paper Award, etc. She has served as TPC Co-chair, Symposium Co-Chair and Track Co-chair for IEEE conference such as INFOCOM, ICC, GLOBECOM, VTC, etc. She is an Associate Editor of IEEE VTM, IEEE TCCN, and served as an Editor of IEEE TVT. She is a Fellow of IEEE, and a Distinguished Lecturer of IEEE VTS.

Email:

Address:National Institute of Informatics (NII), , Tokyo, Japan