by U-M MICDE | Sep 5, 2023
Prof Shen’s research interest is in Biomedical AI, which lies in the interdisciplinary areas of machine learning, computer vision, signal and image processing, medical image analysis, biomedical imaging, and data science. She is particularly interested in...
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 U-M MICDE | Sep 1, 2023
Prof. Nadakuditi particularly enjoys using random matrix theory to address problems that arise in statistical signal processing. An important component of his work is applying it in real-world settings to tease out low-level signals from sensor, oceanographic,...
by Eszter Haseli | Jul 28, 2023
My research interests are in the areas of programming languages, formal methods, and software engineering. In particular, I’m interested in developing intelligent programming systems that allow programmers and non-programmers to create reliable software easily in a...
by Eszter Haseli | Jun 2, 2023
My primary project, election forensics, concerns using statistical analysis to try to determine whether election results are accurate. Election forensics methods use data about voters and votes that are as highly disaggregated as possible. Typically this means polling...
by Eszter Haseli | Jun 2, 2023
As an expert in molecular imaging of single cell signaling in cancer, I develop integrated systems of molecular, cellular, optical, and custom image processing tools to extract rich data sets for biochemical and behavioral functions in living cells over minutes to...
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...
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...
by Zoe Myatt | May 23, 2023
I work with the Space Weather Modeling Framework, which is a software tool to couple several models describing (in my case) the different plasma-physical processes in the near-Earth space. The aim of our research group is to use the simulations to understand the...
by Zoe Myatt | May 17, 2023
My research focuses on natural hazards and disaster information, everything from understanding where disaster data comes from, how it’s used, and its implications to design improved disaster information systems that prioritize the human experience and lead to more...
