Genya Ishigaki

Genya Ishigaki is an Assistant Professor in the Department of Computer Science at San José State University's College of Science. His research focuses on network slicing, combinatorial optimization, and reinforcement learning, addressing resource allocation challenges in next-generation telecommunications networks.

• Ph.D. in Computer Science, The University of Texas at Dallas, 2021
• M.S. in Computer Science, The University of Texas at Dallas, 2021
• M.S. in Engineering, Soka University, Japan, 2016
• B.S. in Engineering, Soka University, Japan, 2014

Dr. Ishigaki's work explores adaptive network control through machine learning and combinatorial optimization, including elastic network slices, explainable AI, and federated learning. His research addresses critical tradeoffs in resource utilization versus capacity reservation for future demands.

Recent publications demonstrate his focus on network automation (2025), information diffusion (2025), federated learning platforms (2024), and DDoS attack detection (2024). Articles span network security, AI-driven optimization, and social network dynamics.

• NSF Student Travel Grant (2019)
• Shigeta Education Foundation Ph.D. Scholarship (2019-2021)
• Outstanding TA Award (2019)
• JASSO Ph.D. Scholarship (2016-2019)
• NEC C&C Foundation Travel Grant (2015)

He leads the Interconnect Lab, which investigates accountability in autonomous network operations and edge computing-oriented federated learning. His grants include SJSU's RSCA Seed Grant (2022-2023) and University Grant Academy Award (2022).