Welcome to SJSU interconnect lab!

sjsu

interconnect lab, led by Dr. Genya Ishigaki, researches next-generation telecommunication networks, with an emphasis on developing combinatorial optimization and machine learning techniques to solve resource optimization problems for network automation. Resource allocation problems appear in many networking contexts including reliability, scalability, and profitability. A fundamental question we are trying to answer is about the tradeoff in resource allocation: How does a network operator balance the maximization of resource utilization and the reservation of spare capacity for unknown future demands? Even though the tradeoff has been a paramount agenda of resource optimization research, the new features introduced for next-generation networking, such as dependency among different network layers, diverse applications, and unpredictable traffic patterns, present additional challenges to answer the question in 5G and Beyond networks.

Our recent research topics include:

If you are interested in our projects, please look at our research page and publication list.

 


 

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.