Mobile Computing Lab.
Research Themes
Our laboratory explores technologies that contribute to the development of cities, people, and communities, with cyber-physical systems (CPS), digital twins, and real-world sensing at its core. Research is organized around six application domains (Smart City & Building, Smart Mobility & Transportation, Disaster Management & Resilience, Smart Agriculture & Primary Industry, Space & Satellite Technologies, and Intelligent Environment & Wireless Sensing) and three foundation technology layers (Sensing & Communication Foundation, CPS & Digital Twin Foundation, and AI & Data Analysis).
CPS here is generally understood not as software that simply receives computation results, but as a framework that tightly couples the physical and computational worlds — sensing the state of target systems and environments, predicting their behavior, and enabling control or intervention through actuators. This concept is closely related to the idea of digital twins, where sensor-derived information is used to replicate targets in virtual space, enabling simulations that can guide better control and decision-making.
Building on these CPS and digital twin concepts, we develop next-generation systems utilizing cutting-edge communication technologies (Beyond 5G/6G), edge computing, and AI/machine learning. We actively engage in industry-academia collaborations and international joint research, pursuing practical research with an eye toward social implementation.
Research Areas
Foundation Technologies
FOUNDATION LAYER
Sensing & Communication Foundation
- Beyond 5G / 6G / IoT / Sensing
- Mobile / Edge / Ubiquitous / Wearable Computing
FOUNDATION LAYER
CPS & Digital Twin Foundation
- CPS / Digital Twin / Urban OS
- Distributed Systems / System Software
FOUNDATION LAYER
AI & Data Analysis
- Machine Learning / Deep Learning / Optimization / Quantum Computing / Simulation / Data Assimilation
- Privacy Protection / Data Utilization
For specific projects and outcomes of our research, please visit the following pages
