Kohei Shiomoto [M’90, SM’15] is a Professor of Tokyo City University, Tokyo Japan. He was engaged in R&D in the data communication industry for over 28 years since he joined NTT Laboratories in 1989. From 1989 to 2017, he produced technologies to innovate Internet, Mobile, and Cloud at NTT Laboratories, where he was engaged in research and development of high-speed computer networks including ATM networks, IP/MPLS networks, GMPLS networks, network virtualization, traffic management, network analytics. He has been active in the areas of Network Virtualization, Data mining for Network Management, Traffic & QoE Management since he joined Tokyo City University in 2017. He published 70+ journal papers and 130+ reviewed international conference papers. He published 6 RFCs in IETF. He received his B.E., M.E., and Ph.D degrees in information and computer sciences from Osaka University, Osaka in 1987, 1989, and 1998. He is a Fellow of The Institute of Electronics, Information and Communication Engineers (IEICE), a Senior Member of IEEE, and a member of Association for Computing Machinery (ACM) and Information Processing Society of Japan (IPSJ).
Lecture Topics
- Applications of Reinforcement Learning to Computer Network Problems
- Data-driven Network Management
- Semi-supervised Learning and Few-shot Learning in Data-Driven Management of Computer Networks