Models are only as effective as the design of experiments that evaluate, compare, test and validate them. Between real-world constraints, limitations of your computing environment, and everything in between, there are many decisions that need to be made to design an experiment to ask the right questions. These decisions and how they translate to more insightful experiments is the subject of this panel discussion. Michael McCourt, Head of Engineering & Research at SigOpt, will facilitate a discussion that cuts across a variety of enterprise and university research applications to distill a set of foundational principles that can be universally applied to experiment design. This discussion will touch on how Paul Leu from the University of Pittsburgh applies multiobjective Bayesian optimization to run more efficient and insightful simulations for glass design. It will cover insights from Vishwanath Hegadekatte of Novelis on how enterprise constraints inform the way he structures experiments related to recycling processes. And it will include design decisions tha Marat Latypov makes to boost the efficiency of his research amidst resource constraints. Attendees will leave this panel with practical lessons they can apply in their own experimental design processes to drive more efficient, effective and scalable modeling.
Assistant Professor of Materials Science and Engineering, University of Arizona
Marat Latypov is an assistant professor in the Department of Materials Science and Engineering and a faculty member of the Applied Mathematics Graduate Interdisciplinary Program at the University of Arizona. Marat received his Ph.D. from Pohang University of Science and Technology (POSTECH) in South Korea followed by a postdoc at Georgia Tech/CNRS lab in France and the University of California in Santa Barbara. He joined the University of Arizona in 2021 after two years in the aluminum industry. Marat has a wide range of interests in the field of materials science including materials informatics, modeling and simulation, artificial intelligence, materials design and process optimization.
Mike leads research and engineering at SigOpt, an Intel Company. We are responsible for developing, deploying, and maintaining the SigOpt platform both by creating tools to power intelligent experimentation and making sure these tools robustly meet the usage demands of our users. He has been with SigOpt for the past 6 years, almost since its founding. Prior to joining SigOpt, he spent time in the math and computer science division at Argonne and was a visiting assistant professor at CU-Denver where he co-wrote a text on kernel-based approximation. Mike holds degrees in Applied Mathematics from Cornell and IIT.
Prof. Paul Leu is an Associate Professor and the BP America Faculty Fellow in the Industrial Engineering Department at the University of Pittsburgh. His research group the Laboratory for Advanced Materials at Pittsburgh (LAMP) focuses on functional materials which have included functionalities such as antireflection, light trapping, and haze control in plasmonics, transparent electrodes, and solar cells. Recently, he has been integrating simulation and experimental methodologies with machine learning for materials discovery. He has been recipient of the Oak Ridge Associated University Powe Junior Faculty Enhancement Award, UPS Minority Advancement Award, and the NSF CAREER Award. His research has been showcased in Scientific American Frontiers, Pittsburgh NPR, and Pittsburgh Magazine.
Vishwanath Hegadekatte works for Novelis Inc. as R&D Manager and Principal Scientist at its Kennesaw R&D Center located in Georgia, USA. Apart from people Vishwanath Hegadekatte works for Novelis Inc. as Global R&D Manager at the its R&D Center located in Kennesaw, GA. At Novelis, Vishwanath leads the global AI and Advanced Modeling group. Apart from people and project portfolio management responsibilities, his current scientific areas of interests include machine learning, advanced modeling for sheet metal products and processes. Before joining Novelis, Vishwanath worked as a post-doctoral research associate at Brown University, USA. He holds a doctorate in engineering sciences from Karlsruhe Institute of Technology, Germany. Outside of work, Vishwanath enjoys experimenting with espresso, hiking and landscape photography.
