معرفی
Eric Darve is a Professor of Mechanical Engineering and Director of the Institute for Computational and Mathematical Engineering (ICME) at Stanford University. His research focuses on machine learning for science/engineering, numerical linear algebra, high-performance computing, and GPU-accelerated algorithms. He holds a PhD in Applied Mathematics from Pierre et Marie Curie University (2009), and completed postdoctoral work at Stanford/NASA Ames before joining Stanford’s faculty in 2001.
Education:
- PhD, Applied Mathematics, Paris VI University (1999)
- MS, Applied Mathematics, Paris IX University (1994)
- BS, Mathematics & Physics, Paris VI University (1993)
Research interests include:
- Machine learning for scientific applications
- Surrogate/Reduced Order Modeling
- Anomaly detection in engineering systems
- Parallel computing and numerical algorithms
- Physics-informed learning machines
Awards include:
- H. Julian Allen Award (NASA, 2010)
- Habilitation à Diriger des Recherches (France, 2007)
- Leslie Fox Prize in Numerical Analysis (2001)
- James H. Clark Faculty Scholar (2001)
Led development of scalable linear solvers and hybrid physics-data approaches. Active in computational engineering education and interdisciplinary research initiatives through ICME.
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