Jing Kang

Jing Kang is an Assistant Professor (non-tenure-track) at the Waseda Institute for Advanced Study, Waseda University, where she is affiliated with the Faculty of Commerce and Graduate School of Commerce. Previously, she served as an Assistant Professor at Hiroshima University's Graduate School of Advanced Science and Engineering (2021-2024), and held research positions at the University of Pennsylvania including Research Fellow at the University Transportation Center--CM2 Project and Visiting Scholar at the Institute for Urban Research. Her academic journey reflects a strong interdisciplinary focus bridging geography, environmental science, and urban planning.

Dr. Kang's educational background includes:

• Doctor of Science from Beijing Normal University (2011-2017), College of Global Change and Earth System Science, specializing in Global Environmental Change (Quantitative Remote Sensing)
• Joint scholarship program between National Oceanography Centre UK and Beijing Normal University (2014-2016)

Her research interests span multiple interconnected domains at the intersection of environmental science, urban systems, and geospatial technologies. Dr. Kang focuses on environmental policy and social systems, with particular expertise in Climate Change Adaptation, Carbon Neutral strategies, and Human geosciences. She applies advanced Remote Sensing techniques, Spatial Data Integration, GIS methodologies, and Spatial Econometrics to address pressing urban environmental challenges. Her work bridges technical geospatial analysis with policy-relevant insights, particularly examining how electric vehicle adoption reshapes urban infrastructure and energy systems.

Dr. Kang's publication record reveals a clear trajectory of increasingly sophisticated interdisciplinary research connecting transportation systems, urban form, and environmental sustainability. Her recent work demonstrates a strong emphasis on applying machine learning techniques to geospatial data for understanding electric vehicle infrastructure dynamics, carbon emissions patterns, and urban environmental challenges. She has developed innovative methodologies for analyzing urban functional shrinkage, EV charging accessibility, and the relationship between land use changes and carbon dynamics. Her research consistently leverages multi-source geospatial big data to provide evidence-based insights for urban climate action and sustainable mobility planning.

Dr. Kang has received several notable scientific awards:

• First Prize of China High-Resolution Remote Sensing Application Solution Competition (2018)
• National Oceanography Centre UK and Beijing Normal University Joint Scholarship Program (2014)
• Second Prize (Province level) in National Undergraduate Mathematical Modeling Contest (2008)

As an active researcher, Dr. Kang has secured competitive funding including a Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research project "Assessing the Coordination of Electric Vehicle Adoption on Urban Energy Transition: A Geospatial Machine Learning Framework" (2024-2026) and a Waseda University Grant for Special Research Projects on "Towards Effective Climate-Land Governance: Evidence-Based Approaches to Sustainable Land Use Policies" (2024-2025). She serves as a peer reviewer for numerous prestigious journals including Nature Scientific Data, Energy, Land Use Policy, and Sustainable Cities and Society, demonstrating her standing in multiple academic communities.

Dr. Kang actively contributes to academic discourse through invited presentations at international venues including Waseda University Research Institute of Business Administration Seminar, International Workshop on Practical Applications of AI Technologies, and Nature Conferences on Air Pollution and Climate Change. Her work on "Accessible Remote Sensing: Interdisciplinary Approach and Applications" (CRC Press, 2025) represents a significant contribution to making advanced geospatial methodologies more widely accessible to interdisciplinary researchers.