Patrick Guidotti
Professor · Partial Differential Equations
University of California, IrvineAbout
Patrick Guidotti is a Professor of Mathematics at the University of California, Irvine (UCI), affiliated with the Department of Mathematics within the School of Physical Sciences. He holds a PhD from Zurich University (1996) and has held academic positions at institutions including the University of Zurich, California Institute of Technology, and UCI, where he served as Vice-Chair for Graduate Studies (2012-2019). His research focuses on partial differential equations (PDEs), nonlinear diffusions, and applications in image processing and mathematical biology. Guidotti has supervised numerous PhD students and postdoctoral researchers, contributing to their careers in academia and industry.
Education:
- PhD in Mathematics, Universität Zürich, 1996 (Thesis: 'Singular Parabolic Evolution Equations and Applications')
- Diploma in Mathematics, Universität Zürich, 1992
Research Interests: Guidotti's work spans theoretical and applied mathematics, including PDEs, free boundary problems, numerical analysis, and mathematical modeling in biology and engineering. He has developed novel methods for image processing using anisotropic diffusions and contributed to stability analysis of nonlinear systems.
Key Achievements:
- Recipient of Swiss National Science Foundation Fellowships (1997–1999)
- NSF grants for projects on sensors, image processing, and MEMS technologies
- Author of over 50 peer-reviewed articles and a textbook on real analysis
Teaching & Mentorship: Guidotti has taught advanced courses in real analysis, PDEs, and functional analysis. He pioneered the Jumpstart program for incoming graduate students, emphasizing independent learning and problem-solving. His mentorship has supported students in diverse fields, including data science, finance, and aerospace engineering.
Labs/Teams: Collaborations include applied mathematics groups at UCI and international partnerships in computational biology and engineering. His work on acellular dermal matrix fenestrations bridges mathematics and biomedical applications.
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