Invited Speakers

Dr. Sinan Chen, Center for Mathematical and Data Sciences, Kobe University, Japan

Sinan Chen received the M.S. degree in System Informatics and the Ph.D. degree in Computational Science from Kobe University, Japan, in 2019 and 2021, respectively. He was a JSPS Postdoctoral Research Fellow at Kobe University in 2022 and is currently an Assistant Professor at the Center for Mathematical and Data Sciences, Kobe University. His research interests include multimodal intelligent sensing, computer vision, machine learning, smart-home systems, edge AI, digital health, and human-centered cyber-physical systems, with a particular focus on reliable and privacy-aware sensing in real-world environments. He is a member of IEEE, ACM, Sigma Xi, CAAI, CCF, IEICE, and IEEJ.

Speech Title: Toward Reliable Human-Centered Cyber-Physical Intelligence: Multimodal Edge Sensing, Communication-Aware Adaptation, and Privacy-Preserving Deployment

Abstract: The rapid integration of multimodal sensing, edge artificial intelligence, and networked embedded systems is enabling a new generation of human-centered cyber-physical environments. However, real-world deployment still faces several challenges, including heterogeneous sensor quality, communication constraints, privacy concerns, uncertainty, and the need for continuous adaptation to individual and environmental changes. This talk will present a research vision for reliable human-centered cyber-physical intelligence, with a particular focus on multimodal edge sensing, communication-aware adaptation, and privacy-preserving deployment. Representative examples from human behavior sensing, smart environments, and digital health will illustrate how visual, ambient, and behavioral signals can be integrated while reducing dependence on centralized cloud processing. The talk will also discuss emerging directions including distributed edge intelligence, uncertainty-aware sensing, adaptive sensing and communication, and closed-loop personalized support. The goal is to explore how sensing, communication, and AI can be jointly designed to create trustworthy and deployable intelligent systems for real-world human environments, and to identify opportunities for interdisciplinary collaboration across intelligent sensing, edge computing, communications, and cyber-physical systems.

To be added...