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Resume (English only)
Academic Achievements
Published papers: 'A Customizable Platform for Disaster Resilience Inference Measurement and Enhancement' accepted by Computers, Environment and Urban Systems; 'A BERT-based Ensemble for Multi-Label Text Classification of Flash Flood Related Web Documents' accepted by Advanced Engineering Informatics; 'Predicting the Economic Damages Resulting from Flash Floods' accepted by Natural Hazards Review. Awards: ASFPM Student Paper Prize, Montgomery Award, Richard Lietz Memorial Scholarship, J. Malon Southerland '65 Aggie Leader Scholarship. Competitions: 1st Runner's Up in the Texas A&M Zachry Dept of Civil and Environmental Engineering 3MT Thesis Competition.
Research Experience
Research experience includes leveraging cutting-edge Generative AI techniques to predict and mitigate the effects of climate change on infrastructure and communities, integrating climate science, machine learning, and geospatial analysis to develop advanced tools that empower decision-makers to create effective policies and strategies.
Education
PhD in Civil Engineering from Texas A&M University; Master's in Computer Science from Texas A&M University.
Background
Research Interests: Climate Science, Generative AI, Infrastructure Asset Management. Professional Fields: Civil Engineering, Computer Science, Geographic Information Sciences. Bio: As a research scientist at the forefront of Generative AI applications in climate resilience and infrastructure asset management, I am dedicated to developing sustainable solutions for pressing global challenges.
Miscellany
Personal interests: Education and professional development. Starting Spring 2025, will serve as a Visiting Lecturer for the undergraduate surveying course in the Civil and Environmental Engineering department at Texas A&M University.