Genya Ishigaki, Ph.D.
Bio
Genya Ishigaki is an Assistant Professor at San José State University. He received Ph.D. and M.S. in Computer Science from The University of Texas at Dallas in 2021. His research interests lie in resource allocation problems related to adaptive and autonomous next-generation networking. He has published several papers on combinatorial and Deep Reinforcement Learning-based algorithms for network protection and recovery. He also received B.S. and M.S. in Engineering from Soka University, Japan.
Research Interests
- 5G and Beyond Networking & Network Slicing
- Federated Learning
- Revenue Maximization & Mechanism Design
- Reinforcement Learning
- Online Convex Optimization
Experiences
2021 - Present
Assistant Professor, San José State University
Education
Aug 2021
Ph.D. in Computer Science, The University of Texas at Dallas
May 2021
M.S. in Computer Science, The University of Texas at Dallas
Mar 2016
M.S. in Engineering, Soka University, Japan
Mar 2014
B.S. in Engineering, Soka University, Japan
Research Grants
- RSCA Seed Grant (San Jose State University, 2022 - 2023)
- University Grant Academy Award (San Jose State University, 2022)
Awards
- NSF Student Travel Grant (IEEE Globecom 2019)
- Ph.D. Scholarship (Shigeta Education Foundation, 2019 - 2021)
- Outstanding TA Award (The University of Texas at Dallas, 2019)
- Ph.D. Scholarship (JASSO funded by Japanese govt., 2016 - 2019)
- NEC C&C Foundation Travel Grant (NEC C&C Foundation, 2015)
Professional Activities
- IEEE Tokyo YP Committee (IEEE, 2015 - Present)
- Technical Program Committee
- IEEE NetSoft
- ICCCI
- IEEE GCCE
- Peer Reviewer
- IEEE Transactions on Communications
- IEEE Transactions on Parallel and Distributed Systems
- IEEE Transactions on Green Communications and Networking
- IEEE Systems Journal
- IEEE Networking Letters
- IEEE IoT Journal
- IEEE Pervasive Computing
- Wiley International Journal of Communication Systems
- IEEE infocom
- IEEE Globecom
- IEEE ICC
- RNDM