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Prof. Philippe Tissot

Conrad Blucher Institute, Texas A&M University-Corpus Christi
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Philippe E. Tissot is the Conrad Blucher Institute Chair for Coastal Artificial Intelligence at Texas A&M University-Corpus Christi and a Co-PI for the National Science Foundation Artificial Intelligence Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES). His research is focuses on the development, with his students, of artificial intelligence methods for the analysis and predictions of environmental systems with a focus on coastal physical processes. The research includes the adaptation of rapidly evolving AI methods such as ensemble models, uncertainty quantification, or XAI to potentially gain insights into the dynamic of coastal processes. Models are deployed operationally to help predict coastal inundation, navigation, and emergency management including to help mitigate the impact of sea turtle and fisheries cold stunning events. Other research includes studying relative sea level rise, the spatial variability of vertical land motion, and their societal impacts. Dr. Tissot received a Diploma (MS) in physics engineering from the Swiss Federal Institute of Technology, Lausanne, Switzerland, in 1987 and a Ph.D. in nuclear engineering from Texas A&M University, College Station, TX, USA, in 1994. Prior to joining TAMU-CC, Dr. Tissot worked as a research scientist at a private research institution with R&D projects including semiconductor materials analysis, treatment of engineered wood materials, and prototypes for oil exploration.

Research Keywords & Expertise

Coastal
coastal flooding
artificial intelligenc...
relative sea level ris...
Machine Learning Appli...

Fingerprints

45%
Coastal
9%
artificial intelligence and machine learning
6%
relative sea level rise
6%
Machine Learning Applications to Earth Sciences
5%
coastal flooding

Short Biography

Philippe E. Tissot is the Conrad Blucher Institute Chair for Coastal Artificial Intelligence at Texas A&M University-Corpus Christi and a Co-PI for the National Science Foundation Artificial Intelligence Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES). His research is focuses on the development, with his students, of artificial intelligence methods for the analysis and predictions of environmental systems with a focus on coastal physical processes. The research includes the adaptation of rapidly evolving AI methods such as ensemble models, uncertainty quantification, or XAI to potentially gain insights into the dynamic of coastal processes. Models are deployed operationally to help predict coastal inundation, navigation, and emergency management including to help mitigate the impact of sea turtle and fisheries cold stunning events. Other research includes studying relative sea level rise, the spatial variability of vertical land motion, and their societal impacts. Dr. Tissot received a Diploma (MS) in physics engineering from the Swiss Federal Institute of Technology, Lausanne, Switzerland, in 1987 and a Ph.D. in nuclear engineering from Texas A&M University, College Station, TX, USA, in 1994. Prior to joining TAMU-CC, Dr. Tissot worked as a research scientist at a private research institution with R&D projects including semiconductor materials analysis, treatment of engineered wood materials, and prototypes for oil exploration.