Hadi Meidani

Hadi Meidani is a Clinical Associate Professor at the Carle Illinois College of Medicine, specifically within the Department of Biomedical and Translational Sciences at the University of Illinois at Urbana-Champaign. He teaches courses in Civil and Environmental Engineering, including topics like Systems Engineering & Economics, Machine Learning in CEE, and Uncertainty Quantification.

• Ph.D., Civil Engineering, University of Southern California (2012)
• M.S., Electrical Engineering, University of Southern California (2012)
• M.S., Structural Engineering, Sharif University of Technology (2005)
• B.S., Civil Engineering, K.N. Toosi University of Technology (2002)

Dr. Meidani's research focuses on uncertainty quantification, scientific machine learning, and optimization under uncertainty for engineering systems. His work spans stochastic multiscale analysis, physics-informed machine learning, and model reduction techniques.

His recent publications emphasize machine learning for infrastructure systems, graph neural networks, physics-informed models, and traffic assignment. Key trends include deep learning, multi-fidelity modeling, and neural operator transformers applied to metamaterial design, seismic reliability, and autonomous freight delivery.