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 | Dec 12, 2023
Mahlke’s research focuses on novel methods for designing energy-efficient high performance computer systems. Hardware-software codesign is used to create specialized computer systems that are customized to application domains or even individual applications....
by U-M MICDE | Nov 11, 2023
Predictive and prescriptive business analytics, with a focus on developing optimization algorithms for solving complex, large-scale, analytics problems. Applications including revenue management and pricing, assortment optimization, marketing analytic, supply chain...
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 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 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...
by U-M MICDE | Sep 29, 2023
Juan Estrada is a Ph.D. student in Industrial and Operations Engineering. His research focuses on developing models and methodologies for solving large-scale nonconvex optimization problems in complex networks. Methods include stochastic optimization, distributionally...
by U-M MICDE | Sep 28, 2023
Computational and mathematical optimization to solve large-scale experimental design problems.
