Ilias Bilionis

Dr. Ilias Bilionis is a Professor of Mechanical Engineering at Purdue University's West Lafayette campus, leading the Predictive Science Lab. His research focuses on uncertainty quantification, inverse problems, optimal learning, and materials design, with applications in computational engineering, human-machine interaction, and high-performance buildings. He holds a strong record of awards, including the 2008-2009 Olin Fellowship and multiple academic excellence awards from his early career.

His work integrates machine learning, Bayesian methods, and physics-informed models to address complex engineering challenges. Notable areas include 4D flow MRI analysis, extraterrestrial habitat systems, and energy-efficient building technologies. He has contributed to advancing methodologies in stochastic processes, optimal transport theory, and computational fluid dynamics.

• Awards: Extensive recognition for academic excellence and research innovation, including awards from Cornell University and the National Technical University of Athens.
• Labs/Teams: Heads the Predictive Science Lab, focusing on data-driven modeling and uncertainty quantification.
• Grants/Projects: Leads initiatives in smart energy systems, space habitat resilience, and advanced manufacturing.