International Workshop on Networked AI Systems

In his talk, Prof. Josaphat Sumantyo will introduce the development of unmanned aerial vehicles, aircraft, high altitude platform systems (HAPS), and microsatellite onboard multiband microwave sensors called circularly polarized synthetic aperture radar (CP-SAR) and their applications used AI for disaster and environmental monitoring to realize disaster resilience society. The development of this multiplatform CP-SAR includes the international research and education collaboration on microwave remote sensing that has been promoted by the Center for Environmental Remote Sensing of Chiba University for environmental and disaster monitoring since 2005. The international education in this research includes a double degree program, short/long stay programs, a world-class professor program, a visiting professor, a postdoctoral program under a Japanese governmental program, and overseas governments to promote high skills and knowledge on microwave remote sensing. We hope this research and education activities could boost the development of microwave remote sensors for future Earth and planetary missions.

Josaphat Sumantyo is a full professor at the Center for Environmental Remote Sensing (CEReS), Chiba University, Japan. He manages the Josaphat Microwave Remote Sensing Laboratory (JMRSL), where he develops microwave sensors and their applications, particularly the synthetic aperture radar (SAR) sensor for unmanned aerial vehicles (UAVs), aircraft, and microsatellites. He is a professional in developing leading techniques in remote sensing to observe continents, oceans, and the atmosphere using satellite data and remotely sensed devices.

The advent of tiny, ultra-low-power AI accelerators marks a significant milestone in the evolution of wearable technology. These tiny yet powerful devices are not only shrinking the physical boundaries of computing but are also redefining the scope of artificial intelligence (AI) on the body. Seamlessly integrated into wearable devices, they transform our bodies into networks of AI-powered processing units with various sensors, enabling next-generation wearable applications. In this talk, I will introduce a cutting-edge AI-native system designed for the on-the-fly collaboration of smart wearable devices equipped with these promising yet largely unexplored tiny, ultra-low-power AI accelerators.

Chulhong Min is a principal research scientist at Nokia Bell Labs in Cambridge, UK, where he leads the Device Systems team. His current research explores next-generation sensory systems to realize transformative multi-modal, multi-device sensing for disruptive mobile, wearable, and IoT services. Broadly, his research interests include mobile and embedded systems, AI/ML, the Internet of Things (IoT), and human-computer interaction.