by U-M MICDE | Oct 3, 2024
My current research focuses on Explainable AI in Industry, and my interests are in Machine Learning and its applications in the Industrial Field. I wish to devote my talent to this meaningful cause and bring well-being to society. More information about me is...
by U-M MICDE | Oct 3, 2024
I am working on theoretical cosmology, focusing specifically on dark energy and modified gravity. My current research involves developing the Effective Field Theory of dark energy and studying the Hubble constant measurements by integrating data from gravitational...
by U-M MICDE | Oct 3, 2024
My research centers on understanding and advancing deep neural networks through optimization, low-dimensional modeling and other first principles. Recently I’m interested in diffusion models and multimodal LLMs, as well as their potential applications in scientific...
by U-M MICDE | Oct 3, 2024
Developing advanced machine learning algorithm to identify multi-omic biomarkers from biomaterial sensors for predicting Type 1 Diabetes onset
by U-M MICDE | Sep 3, 2024
The potential for quantum computers (QC) to solve complex problems exponentially faster than classical computers promises revolutionary advancements in data analysis, optimization, and encryption. Many problems fundamental to the disciplines of significance to society...
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 U-M MICDE | Apr 16, 2024
Research Interests: Climate Change, Weather and Climate Extremes, Hydrology, Resilience of Ecosystems Dr. Ombadi has a keen interest in understanding and quantifying climate change impacts on hydroclimatic extremes. From heavy storms and floods to extreme heatwaves...
by U-M MICDE | Apr 10, 2024
Yixin Wang is an assistant professor of statistics at the University of Michigan. She works in the fields of Bayesian statistics, machine learning, and causal inference. Previously, she was a postdoctoral researcher with Professor Michael Jordan at the University of...
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...
