Title of talk: Geometric Reasoning and Machine Learning in Digital Manufacturing and Design Applications.
Speaker: Prof. Rahul Rai, Clemson University.
Venue: IEOR Seminar Hall, Second Floor, IEOR Building.
Day, Date and Time: Thursday, August 18, 2022, 11 30 AM to 12 30 PM.
Abstract: This talk will primarily focus on geometric reasoning and machine learning algorithms to solve a variety of important research problems in Digital Manufacturing and Design and will summarize the main research thrusts in the Geometric Reasoning and Artificial Intelligence Lab (GRAIL Lab) at Clemson University. Topics of the presentation will cover shape synthesis, computer vision-based inspection systems, automated manufacturing feature recognition, geometric reasoning, and machine learning applications. A vision for hybrid machine learning-based approaches for cyber-physical systems will also be outlined.
Speaker Bio: Dr. Rahul Rai joined the Department of Automotive Engineering in 2020 as Dean's Distinguished Professor in the Clemson University International Center for Automotive Research (CU-ICAR). He is also Associate Director of the Artificial Intelligence Research Institute in Science and Engineering (AIRISE) at Clemson University. He also has joint appointments in Computer Science and Mechanical Engineering departments at Clemson University. He directs the Geometric Reasoning and Artificial Intelligence Lab (GRAIL, located at CU-ICAR and the Center for Manufacturing Innovation (CMI). Previously, he served on the Mechanical and Aerospace Engineering faculty at the University at Buffalo-SUNY (2012-2020). Dr. Rai also has industrial research center experience at United Technologies Research Center (UTRC) and Palo Alto Research Center (PARC). Dr. Rai received his B.Tech. Degree in 2000 and an M.S. in 2002 in Manufacturing Engineering from the National Institute of Foundry and Forge Technology (NIFFT), Ranchi, India, and Missouri University of Science and Technology (Missouri S&T), the USA, respectively. He earned his doctoral degree in Mechanical Engineering from The University of Texas at Austin, the USA, in 2006.
Dr. Rai's research is focused on developing computational tools for Manufacturing, Cyber-Physical System (CPS) Design, Autonomy, Collaborative Human-Technology Systems, Diagnostics and Prognostics, and Extended Reality (XR) domains. By combining engineering innovations with methods from machine learning, AI, statistics and optimization, and geometric reasoning, his research strives to solve important problems in the domains mentioned above. His research has been supported by NSF, DARPA, ONR, ARL, NSWC, DMDII, CESMII, HP, NYSERDA, and NYSPII (funding totaling more than $25M as PI/Co-PI). He has authored over 125 papers in peer-reviewed conferences and journals covering a wide array of problems.
Dr. Rai is the recipient of numerous awards, including the 2009 HP Design Innovation, 2017 ASME IDETC/CIE Young Engineer Award, and the 2019 PHM society conference best paper award. Additionally, Dr. Rai is Associate Editor of the International Journal of Production Research and ASME Journal of Computing and Information Science in Engineering (JCISE) journals and has taken significant leadership roles within the ASME Computers and Information in Engineering professional society.