I enjoy investigating social practical issues through spatial data. Additionally, I am interested in exploring geographical information gathering, especially in developing regions, and spatial approaches to analyze impacts on residential areas.
My research interests lie in sustainable urban system with a special focus on active transportation. Currently I am working with multiple bikeability score and bike safety datasets, trying to understand how we can contribute to a safer and more equitable urban biking environment by leveraging big data.
My research focuses on the impact of human interference and land-use change on the movement behavior of tigers and leopards in Thailand, assisted with spatial data science and spatiotemporal modelling.
Multi-scale wildfire risk mitigation planning and implementation; holistic, community-driven disaster risk resiliency planning; GIS; fire engineering; spatial statistics and optimization;
performance of structures and critical infrastructure to extreme fire loads
My research is focused on understanding human mobility patterns, travel behavior, and urban dynamics using spatiotemporal analytics, statistical models, discrete choice modeling, and machine learning techniques.
My research focuses on understanding movement behaviors of animals and humans, and their interactions with the environment, using machine learning/deep learning, spatial data science, and spatiotemporal modelling.