by U-M MICDE | Aug 26, 2024
Dr. Yarbasi’s expertise encompasses uncertainty quantification in complex systems, verification, and validation (V&V) activities, robotics, energy systems modeling in smart building infrastructure, and systems engineering. Before joining UMTRI, he extensively...
by U-M MICDE | Mar 29, 2024
Professor Holm uses the tools of computational materials science to study a variety of materials systems and phenomena. Her research areas include the theory and modeling of microstructural evolution in complex polycrystals, the physical and mechanical response of...
by U-M MICDE | Mar 5, 2024
Dr. Lindsey develops new artificial intelligence-driven simulation methods to accelerate the design, discovery, and synthesis of next-generation materials. She leads the development of ChIMES, a physics-informed machine-learned interatomic model and generation...
by U-M MICDE | Feb 9, 2024
My recent research project is focusing on finite element analysis of thermo-mechanical behavior of a multi-layer laser additive manufacturing process. Also, I am characterizing the mechanical properties of 3D printing metal parts under various process parameters such...
by U-M MICDE | Oct 25, 2023
My research focuses on statistical genomics and computational statistics. I am interested in developing statistical and computational methods for the analysis of large-scale biological datasets generated by modern high-throughput technologies such as next-generation...
by U-M MICDE | Oct 3, 2023
I work on planet formation theory, with a current focus on giant planet formation in a core accretion paradigm. My current work looks at distinctions in the formation of gas giant planets as a result of conditions in their local environment, and how these differences...
by U-M MICDE | Oct 2, 2023
Radiative transfer in paleoclimate models
by U-M MICDE | Oct 2, 2023
My research focuses on Scientific Machine Learning and Uncertainty Quantification for complex systems in science, engineering, and biology. Primary focuses include Inverse Reinforcement Learning, Bayesian Inference and their applications cancer cell behavior study in...
by U-M MICDE | Sep 28, 2023
Computational and mathematical optimization to solve large-scale experimental design problems.
by U-M MICDE | Sep 27, 2023
Weaving enables us to create complex geometries with unique properties. Basketweaving, for example, can achieve stiff three-dimensional shapes by combining flexible fibers. I am developing computational models that can simulate woven geometries to understand how...
