GradNova

Physics-Informed Machine Learning

5 faculty research Physics-Informed Machine Learning on GradNova.

D

Dr. Hadi Ghasemi

J. Willard Gibbs Distinguished Professor of Mechanical & Aerospace Engineering

William A. Brookshire Department of Chemical and Biomolecular Engineering

University of Houston

Coating Science

Energy Materials

Physics-Informed Machine Learning

+7

Y

Assistant Professor

Department of Mechanical Engineering

The University of Texas at Dallas

And Stochastic Optimization.

Design Under Uncertainty

Physics-Informed Machine Learning

+7

D

Assistant Professor

Department of Mechanical Engineering

Binghamton University

Multiscale Multiphysics Modeling and Simulation

Optimization and Uncertainty Quantification

Physics-Informed Machine Learning

Process Monitoring and Control

+5

J

Jose Nathan Kutz

Professor, Applied Mathematics; Boeing Professor in AI & Data-Driven Engineering, Electrical & Computer Engineering; Adjunct Professor, Physics

Department of Electrical and Computer Engineering

University of Washington

Bifurcation Theory

Complex Systems and Partial Differential Equations

Data Analysis and Reduced Order Models

Data-Driven Control Theory

+9

R

Radaideh, Majdi

Assistant Professor, Nuclear Engineering & Radiological SciencesAffiliate Faculty, EECS – Computer Science and Engineering

Computer Science and Engineering

University of Michigan

And Control Systems

Applied Generative AI

Bayesian Computation

Large-Scale Optimization Algorithms

+2