Paris Perdikaris

Paris Perdikaris

Assistant Professor
Mechanical Engineering and Applied Mechanics (MEAM)

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Honors and Awards:  AFOSR Young Investigator Award (2019), DOE Early Career Award (2018), Doctoral Thesis Award - Circle of Hellenic Academics in Boston (2017), Best PhD Thesis Award in Biomedical Engineering - Conference on Computational and Mathematical Biomedical Engineering (2017)

Research Expertise: Computational Science and Engineering | Machine Learning | Uncertainty Quantification | High-performance Computing

Paris’s work spans a wide range of areas in computational science and engineering, with a particular focus on the analysis and design of complex physical and biological systems using machine learning, stochastic modeling, computational mechanics, and high-performance computing. Current research thrusts include physics-informed machine learning, uncertainty quantification in deep learning, engineering design optimization, and non-invasive medical diagnostics

Affiliations:  Penn Institute for Computational Science; Graduate Group in Applied Mathematics and Computational Science

Education:
Ph.D. - Applied Mathematics - Brown University (2015)
M.Sc. - Applied Mathematics - Brown University (2010) Diploma - Naval Architecture & Marine Engineering
National Technical University of Athens (2009)

Recent Publications


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