معرفی
Patrick L. Combettes is a Professor in the Department of Mathematics at North Carolina State University, where he was hired in 2016 as part of the Chancellor’s Faculty Excellence Program in Data-Driven Science. His work centers on numerical nonlinear analysis and optimization, particularly applications to data science, signal processing, and image recovery. Prior to NC State, he held positions at the City University of New York (1990–1999) and Université Pierre et Marie Curie in Paris (1999–2016), where he achieved the rank of Professeur de Classe Exceptionnelle.
- Education: PhD in Mathematics (1989) from NC State, Habilitation from Université Paris Sud (1996)
- Research Interests: Convex optimization, proximal algorithms, monotone operator theory, and their applications to high-dimensional data analysis, signal/image processing, and inverse problems.
- Scientific Awards:
- SIAM Fellow (2024) for contributions to convex optimization
- IEEE Fellow (2005) for signal/image processing
- Best Paper Award (IEEE Signal Processing Society, 1993)
- Grants and Leadership: Founding director of the CNRS research consortium MOA (2009–2013), focusing on mathematical optimization and applications.
His recent publications highlight advancements in proximal methods, stochastic iterations, and monotone operator splitting, with applications to image decomposition, signal reconstruction, and statistical modeling. Collaborations span institutions in France, the U.S., and Chile, emphasizing cross-disciplinary approaches to data science and computational mathematics.
