Welcome to SJSU interconnect lab!
interconnect lab, directed by Dr. Genya Ishigaki, studies next-generation telecommunication networks, with an emphasis on developing combinatorial optimization and learning algorithms to solve resource optimization problems. When millions of requests flood a network at once, how can it decide on its own where to send each one? After a massive disaster, how can we quickly recover the connections? Can machines at different sites learn together without drowning the network in communication? These questions matter because communication networks are critical infrastructure that people’s daily lives depend on, yet no single solution fits all, as every design must contend with unpredictable demand, limited resources, and inherent performance tradeoffs. Navigating the complex constraints and tradeoffs to build networks that are efficient, resilient, and self-managing is exactly what we research here.
Our recent research topics include:
- Network automation
- Communication-efficient distributed machine learning
- Resource optimization for edge computing
- Quantum networks
If you are interested in our projects, please look at our publication list. Prospective lab members are highly encouraged to enroll in CS 272 Reinforcement Learning and CS 258 Computer Communication Systems, taught by Dr. Ishigaki, to build the foundation for their research. You can find the course information here.
News
July 29, 2026 - Conference
Professor Ishigaki is organizing the 6th International Workshop on Big Data and Machine Learning for Networking (BDMLN) as a part of ICCCN 2026 in Honolulu, Hawaii.
April 24, 2026 - Publication
Our paper on intelligent caching in NDN has been accepted to ICCCN 2026. See the publication section for more details.
November 18, 2025 - Publication
Two of our papers on AI-based network automation have been accepted to International Conference on Computing, Networking and Communications (ICNC) 2026. See the publication section for more details.
October 3, 2025 - Publication
Our paper on AI-based software container management has been accepted to IEEE Annual Congress on Artificial Intelligence of Things (AIoT) 2025. See the publication section for more details.
August 1, 2025 - Publication
Our paper on optical network monitoring has been accepted to IEEE Globecom 2025. See the publication section for more details.