Data-Driven Soft Matter Mechanics
Thursday, May 19, 2022 @ 2:00 p.m.
3110 Etcheverry Hall
Dr. Adrian Buganza-Tepole – Associate Professor of Mechanical Engineering & Biomedical Engineering; Purdue University
Abstract: The recent explosion in machine learning (ML) and artificial intelligence (AI) algorithms has started a revolution in many engineering fields, including computational mechanics. This talk focuses on our recent efforts to leverage ML methods to increase our fundamental understanding of the mechanics of living or living-like systems and their unique abilities to adapt to mechanical cues. The first project that will be described is skin growth in tissue expansion, a popular reconstructive surgery technique that grows new skin in response to sustained supra-physiological loading. We have created computational models that combine mechanics and mechanobiology to describe the deformation and growth of expanded skin. Together with experiments on a porcine model, and leveraging ML tools such as multi-fidelity Gaussian processes, we have performed Bayesian inference to learn mechanistically how skin grows in response to stretch. Mechanical cues can be key drivers of wound healing pathologies such as fibrosis, but anticipating and controlling scar formation is still out of reach. I will show computational models of reconstructive surgery and wound healing for a murine model of wound healing and in patient-specific cases. Once again, ML methods enable new kinds of analyses such as optimization under uncertainty and inverse parameter calibration which are not achieved with traditional approaches. Lastly, I will discuss other projects in my group and how we are using our understanding of biological systems to create living-like systems with similar capabilities.
Biography: Dr. Buganza-Tepole is an Associate Professor of Mechanical Engineering and Biomedical Engineering (courtesy) at Purdue University. He obtained his Ph.D. in Mechanical Engineering from Stanford University in 2015 and was a postdoctoral fellow at Harvard University for a year before joining Purdue as a faculty member in 2016. He is currently a Miller Visiting Professor at UC Berkeley during Spring 2022. His group studies the interplay between mechanics and mechanobiology. Using computational simulation, machine learning, and experimentation, his group seeks to characterize the multi-scale mechanics of tissues and understand the fundamental mechanisms of tissue mechano-adaptation in order to improve clinical diagnostics and interventional tools.
Hosted by: Professor Mohammad R. K. Mofrad, 208A Stanley Hall, 510-643-8165, mofrad@berkeley.edu
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