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UID:2026090611273620250221T11000020250221T1200006a9df6e8380fa@uic.edu
CATEGORIES:MEETING
STATUS:TENTATIVE
DTSTAMP:20250217T114117
DTSTART:20250221T110000
DTEND:20250221T120000
SUMMARY:Using Machine Learning Models for Natural Hazard Risk Assessment in Regional Scale
DESCRIPTION:Presenter: Binh Thai Pham, PhD, University of Transport Technology, Hanoi, Vietnam  Location: ERF, Room 1047  Zoom: https://uic.zoom.us/j/83052246369?pwd=hpu0EUt3RmFRsQy3Dn5NmIhp5Xw7Yl.1   Meeting ID: 830 5224 6369, Password: cme@1234    Abstract: Natural hazards such as landslides and floods pose significant threats to communities, infrastructure, and ecosystems. Traditional risk assessment methods often rely on qualitative or semi-quantitative approaches, which may not fully capture the complexities of hazard occurrence and impact. Our studies explored the application of machine learning (ML) models for natural hazard risk assessment, emphasizing their capability to provide accurate spatial and temporal predictions. Our work leverages various ML algorithms, including deep learning and other advanced ML, to assess susceptibility, hazard probability, and overall risk. Integration of GIS and data-driven models like ML-enabled precise identification of high-risk areas, facilitating proactive disaster management and land-use planning. Findings from various case studies demonstrated that ML models outperform traditional methods in both flood and landslide risk assessment, particularly when incorporating high-resolution geospatial and meteorological data. We also concluded with a discussion on improving ML models for broader applications, emphasizing their role in sustainable development and resilience planning.    Bio: Dr. Binh Thai Pham is a researcher, lecturer, vice head of Science, Technology and International Corporation Department, and deputy editor in chief of the Journal of Science and Transport Technology at University of Transport Technology, Hanoi, Vietnam. He received a PhD degree in civil engineering from the Gujarat Technological University, Gujarat, India. His research focuses on natural hazard modeling and assessment, machine learning, artificial intelligence, geographic information system, remote sensing, geotechnical engineering problems. He has also been appointed as a special assistant professor at Hiroshima University, Japan (2019 - 2023). Recently, he was appointed as an associate professor at the University of Transport Technology (Vietnam) and a Fulbright scholar at the University of Illinois Chicago. | Event post: https://cme.uic.edu/events?page_id=5101
LOCATION:https://uic.zoom.us/j/83052246369?pwd=hpu0EUt3RmFRsQy3Dn5NmIhp5Xw7Yl.1
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