by U-M MICDE | Dec 18, 2024
The overarching goal of my research is to develop innovative data science methodologies that enable responsive, optimal, and intelligent decision-making in manufacturing. My work focuses on three interconnected research thrusts: (1) online process control and...
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 | May 16, 2024
Krishnan Mahesh and his team are working on developing simulation methods that are flexible enough to handle real-world engineering problems and accurate enough to reliably simulate the complicated details of turbulence. As a result, we are now capable of simulating...
by Zoe Myatt | Nov 28, 2023
I am a theoretical astrophysicist studying the origins and structure of galaxies in the universe. My research focuses on developing more realistic gasdynamics simulations, starting with the initial conditions that are well constrained by observations, and advancing...
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
Joshua Pickard’s research is centered on higher-order network-based dynamical systems, the application of control theory to biological systems, and the development of mathematical models for chromatin architecture and gene regulation. Joshua’s present work...
by U-M MICDE | Oct 2, 2023
Developing incremental tensor decompositions for processing large-scale multidimensional data. Bayesian inference and machine learning using tensor methods.
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...
