After my double bachelor degree in Transportation Engineering and Economics, I then pursued a double PhD degree in Transportation Engineering at China and Sociocultural Environmental Science at the University of Tokyo. My studies in industrial engineering provided me with a strong knowledge of applied mathematics, especially convex optimization theory, which is the fundamental
knowledge of information science. My studies in economics and sociocultural environmental science trained me in the areas of real-world problem modeling and data mining.
After graduation, I pursued research on smart cities
technology with big urban sensing data. During the research work, I deeply realized the significances of cooperation and integration on practice-oriented research and development, especially for a foreign researcher in Japan. Hence, I applied for the LEADER program for seeking more cooperation opportunities. Carrying out the idea of practice-oriented research, I finally joined LocationMind Inc. under supports of the LEADER program where can provide me a lots opportunities to touch the frontline markets to understand the real demands on the ground.
During working at LocationMind Inc., I mainly focus on incubating a Small World AI (Spatial Multimodal ALL-World Artificial Intelligence) project as the project founder and leader, which is an integrated and comprehensive data mining system that can smoothly give full play to synergies of multiple technologies, which accurately simulate real-world human mobility behaviours. This technology can help to develop smart emergency management and policy innovation.
Additionally, we are trying to apply our system to more cases, for example in energy, urban planning and pandemic response fields. Testament to this technology, it won a Smart 50 Award and R&D100 Award in 2021, which recognize innovative and influential global R&D projects.