We are engaged in the development of Cyber-Physical Systems (CPS) that integrate large-scale data collection from IoT sensor networks, wireless communication network optimization, and data analysis using swarm intelligence algorithms and machine learning. Our research aims to tightly connect cyberspace and the physical world to create intelligent real-world systems. Specifically, we are working on applications such as autonomous pollination and growth monitoring using drone swarms in agriculture, fruit sweetness estimation and grading through deep learning, and IoT traffic control using energy-efficient communication technologies, thereby advancing smart agriculture. In addition, we are expanding our research into mobility and infrastructure domains, including cooperative control of AGVs (Automated Guided Vehicles) and optimization of urban transportation networks. Through these research activities, we support students in developing strong abstraction skills to identify the essence of complex problems, while fostering practical engineers and researchers capable of contributing to the international community.