Sabarethinam Kameshwar

Associate Professor

Louisiana State University
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Sabarethinam Kameshwar is an Assistant Professor at Louisiana State University in the United States. His research focuses on flood resilience, particularly in relation to above-ground storage tanks and pipeline fragility during flood events. Additionally, he explores the application of artificial intelligence in decision-making for seismic retrofitting and evaluates regional risk mitigation policies for disaster response. His recent articles include studies on tsunami impacts and probabilistic systems.

Positions (1)

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Sabarethinam Kameshwar

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Louisiana State University

PhD Position in Modeling Hurricane Surge, Waves, and Debris-Induced Forces on Coastal Buildings

Louisiana State University is advertising a PhD position in modeling hurricane surge, waves, and debris-induced forces on coastal buildings . The project is led by Sabarethinam Kameshwar (Associate Professor) and is supported by an NSF-funded award. The work is centered on coastal engineering , natural hazards , computational fluid dynamics (CFD) , experimental methods , and uncertainty quantification . The successful student will contribute to large-scale physical experiments at the NHERI Hinsdale Wave Research Laboratory at Oregon State University, using a 1:20-scale urban model with buildings calibrated to fail at specific loads. The project also includes CFD simulations across many urban configurations and wave conditions, development of new parameters for realistic coastal urban layouts, quantification of debris-damming effects, and kriging-based surrogate modeling for force and flow prediction uncertainty. Preferred preparation includes an interest in natural hazards, experimental work, and/or computational modeling. A background in CFD for coastal engineering and programming experience in Python , MATLAB , or similar tools is specifically mentioned. The post also highlights opportunities to contribute to STEM outreach, including an undergraduate course and workshops for K-12 teachers. This is a 5-year, fully funded PhD opportunity. The post indicates a start date in Spring/Fall 2027 . Interested applicants should email [email protected] with a CV and a short note about research interests.

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