Pioneering AI Researcher Advancing Engineering Innovation Through Machine Learning
Associated with :
Purdue UniversityIlias Bilionis, an Associate Professor of Mechanical Engineering at Purdue University, has established himself as a leading figure in the intersection of AI and engineering since founding the Predictive Science Laboratory (PSL) in 2014. With a distinguished academic background including a Diploma from the National Technical University of Athens and a Ph.D. in Applied Mathematics from Cornell University, followed by postdoctoral research at Argonne National Laboratory, Bilionis has made significant contributions to the field of engineering innovation through AI technologies. His research portfolio includes over 35 journal papers and multiple book chapters, focusing on creating probabilistic AI approaches enhanced with causal reasoning and physical laws, with applications ranging from electric machines and high-performance materials to smart buildings and extra-terrestrial habitats. His work, supported by prestigious organizations including NSF, NASA, DARPA, and major industrial partners, has earned him multiple teaching accolades, including three "Outstanding Engineering Teacher Recognition" awards and the "Outstanding Faculty Mentor of Mechanical Engineering Graduate Students" award in 2019, while his research continues to shape the future of engineering through innovative AI applications and methodologies.