by U-M MICDE | Oct 10, 2024
My research is is on numerical simulation of the atmosphere and Earth system. I am working on a project to permit and evaluate kilometer-scale climate modeling with the Community Earth System Model (CESM). Kilometer-scale resolution will allow for storm systems in the...
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 | Apr 3, 2024
My main research interests include: Hamiltonian and Lagrangian mechanics, gradient flows and nonlinear and optimal control both in the smooth and discrete settings. I am interested in applications of gradient flows to image registration and the application of optimal...
by U-M MICDE | Oct 4, 2023
I develop and investigate deployable systems for modular building construction, which involves the simulation of component kinematics, strength, thermal efficiency, and other relevant properties.
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 | 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...
by U-M MICDE | Sep 5, 2023
Prof. Ganesh’s study fluid flow problems of relevance using state-of-the-art experimental techniques such as particle image velocimetry, particle tracking velocimetry, X-ray densitometry and X-ray computed tomography. Acquisition and processing of large noisy...
by Zoe Myatt | May 23, 2023
My research broadly revolves around extending, specializing, and developing novel ML/AI methods for computational mechanics. My primary focus is data-driven physics-based modeling that utilizes approaches like Variational System Identification and PDE-constrained...
