Dr. Amir Barati Farimani

Biography

Amir Barati Farimani is a Russell V. Trader Associate Professor at Carnegie Mellon University's College of Engineering. He earned his Ph.D. in Mechanical Science Engineering from the University of Illinois at Urbana-Champaign in 2015, where his thesis focused on detecting biological molecules using nanopores. His research centers around the application of machine learning and molecular dynamics simulations in bio-engineering, particularly in the study of G-Protein Coupled Receptors. He leads the Mechanical Artificial Intelligence Laboratory (MAIL) at Carnegie Mellon University, where he works on developing algorithms to infer and predict mechanical systems based on data-driven models. His research emphasizes a multidisciplinary approach integrating mechanical engineering with computer science, physics, and materials science to advance the use of state-of-the-art machine learning algorithms in traditional mechanical engineering paradigms. Barati Farimani is actively involved in projects that utilize machine learning for various applications, including additive manufacturing and water desalination.

Research Interests