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CEUS Publication Led by Debayan Mandal on PRIME: A CyberGIS Platform for Resilience Inference Measurement and Enhancement

We are excited to announce the publication of our latest paper, "PRIME: A CyberGIS Platform for Disaster Resilience Assessment and Enhancement" in Computers, Environment and Urban Systems! The 50-day free access link is https://lnkd.in/gSkhnppb. Congratulations to Debayan Mandal for leading this impactful research. This work introduces a customizable resilience inference model (CRIM) for evaluating and improving community resilience to natural disasters. Advanced machine learning approaches, such as Bayesian Networks, are introduced to identify the causal relationships between socioeconomic factors and resilience capacities. Based on this research, Debayan has received several prestigious awards, including 2nd place in the 2023 Texas GIS Day Graduate Student Competition, the 2024 NSF I-GUIDE Rising Geospatial Data Scientist Award, and the 2024 Mr. and Mrs. Kenneth P. Pipes Endowed Scholarship in Geosciences at Texas A&M College of Arts & Sciences!



Feel free to check out the full paper and let us know your thoughts! We appreciate and welcome any suggestions and feedback:



Congratulations! We look forward to hearing more achievements from GEAR Lab! Gig'em!

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Geospatial Exploration and Resolution (GEAR) Lab

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