Designing deployable smart systems with AI that adapts to real-world constraints

Our laboratory studies how AI can operate effectively under real-world constraints such as limited computation, communication bandwidth, and privacy requirements. Rather than treating computing, communication, and AI separately, we aim to optimize them in an integrated manner. We place particular emphasis on practical applications such as disaster response, infrastructure operation, and assistive systems.

We aim to build smart systems that remain effective under constrained environments. Instead of pursuing AI performance in isolation, we focus on how intelligence should be executed, shared, and adapted under limited computation, communication bandwidth, energy, and privacy requirements. Our research spans AI running on edge devices, distributed systems adaptive to network conditions, and real-world applications such as disaster response, smart grids, IoT networks, and elderly monitoring.

Adaptive AI Edge AI Networked / Resilient Systems Distributed Systems AgeTech IoT Disaster Resilience

News

April 1, 2026 Four new B4 students joined our laboratory: Tatsuri Hiraoka, Shunsei Teraoka, Masato Abe, and Davaajargal Usukhbayar. Welcome!
March 27, 2026 We have released HeteroSenseFL, an open-source controllable testbed for modality-heterogeneous federated learning. SenseFL enables researchers to develop and evaluate FL algorithms under realistic sensor heterogeneity without collecting real-world data.
https://github.com/ss-lab-tut/heterosense-fl-testbed
https://zenodo.org/records/19326703
March 25, 2026 Mr. Hirasuga (B4) graduated from our laboratory.
Mr. Shimizu, Mr. Okamoto, and Ms. Yoneno (M2) received their Master's degrees.
Congratulations to all of them.
We also thank all B4 students for their efforts in practical training.
January 1, 2026 Assoc. Prof. Xun Shao was appointed Editor-in-Chief of the International Journal of Pervasive Computing and Communications (IJPCC), an international journal in pervasive computing and communications.
October 20, 2025 Assoc. Prof. Xun Shao was appointed Co-Chair of the "IoT and Sensor Networks" symposium at IEEE ICC 2027, one of the flagship international conferences in the communications field.
August 30, 2025 Ms. Fatima (M2) received her Master's degree. Congratulations.
May 29, 2024 The Smart Systems Laboratory website was launched.