About This Project
Resilient Cyberspace Generative Framework with Communication, Sensing and Learning Integration (ReCygne) is a JST ASPIRE project consisting of Japan resaerch team (UEC and TIT) and UOulue and UWindsor. ReCygne aimst to develop a cutting-edge cyber-physical fralework for resilient society development with aritifical intelligence. For this purpose, we have research collabtation with three technical experts, i.e., semantic communications, data-drive sensing, and distributed learning.
Team
- PI: Dr. Katsuya Suto, The University of Electro-Communications
- Co-PI: Dr. Takayuki Nishio, Tokyo Institute of Technology
- Co-PI: Dr. Koya Sato, The University of Electro-Communications
- PI in Candada: Dr. Ning Zhang, University of Windsor
- PI in Finland: Dr. Mehdi Bennis, University of Oulu
Collaboration
- Tutorial: AI-native Communicaitons and Netwroking in IEICE society conference 2024 (Presented by Dr. Ning and Dr. Mehdi)
Research Achivement
to be updated
Academic Achivement
- IEEE GLOBECOM 2024 Workshop on Ubiquitous Network Intelligence for Next Generation Wireless Networks
- IEEE INFOCOM 2024 Workshop on Pervasive Network Intelligence for 6G networks
Video
to be updated