by U-M MICDE | Apr 23, 2025
Prof. Allman is broadly interested in utilizing mathematical optimization, network theory, and machine learning to support efficient computational decision making for sustainable chemical systems. Specific research themes being pursued by the group are as follows:...
by U-M MICDE | Apr 16, 2025
My research interests are computational modelling and artificial intelligence for clean energy manufacturing, with a focus on E-mobility, additive manufacturing, and material circularity. The core theme of my research is to employ a combination of simulations,...
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 6, 2024
Chaiti is a first year PhD student. She is interested in how remote sensing can be used to provide useful decision-making information for smallholder farmers in India, taking into account the various socioeconomic and climatic challenges they face. She has a...
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 | 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 | Sep 26, 2023
Combining Computational Fluid Dynamics (CFD) and Discrete Element Modeling (DEM) softwares to simulate forest-fire like phenomena. I love reading and watching farfetched science fictions!
by U-M MICDE | Sep 5, 2023
Dr. Majdi Radaideh leads the AIMS lab (Artificial Intelligence and Multiphysics Simulations), which focuses on the intersection between reactor design, nuclear multiphysics modeling and simulation, advanced computational methods, and machine learning algorithms to...
by U-M MICDE | Sep 5, 2023
Prof. Venkat’s research is focusing on multi-scale differentiable computational simulations of electrochemical systems, machine learning guided optimization of energy materials, scientific foundation models and differentiable physical simulations.
by Zoe Myatt | May 23, 2023
Kai Zhu has a strong interest in global change biology, ecological modeling, and environmental data science. He enjoys exploring the intersection between ecological theory and advanced tools in statistics and computer science, including Bayesian inference and machine...
