by U-M MICDE | Sep 5, 2023
Prof. Ganesh’s study fluid flow problems of relevance using state-of-the-art experimental techniques such as particle image velocimetry, particle tracking velocimetry, X-ray densitometry and X-ray computed tomography. Acquisition and processing of large noisy...
by U-M MICDE | Sep 5, 2023
The Luker Lab’s research develops and applies quantitative imaging methods to investigate cancer biology and response to therapy. Studies include 4D imaging studies in cell-based assays, mouse models of cancer, and prospective clinical trials. For single cell...
by U-M MICDE | Sep 5, 2023
Prof. Jeannin’s research focuses on formal verification in several different areas (cyber-physical systems, scientific computing, distributed systems, computer hardware), with a particular focus on aerospace software systems. On the theoretical side, he develops...
by U-M MICDE | Sep 5, 2023
Prof. Ravi’s research revolves around bringing together expertise from quantum computing, classical computing, and often from the sciences, to build toward a hybrid computing ecosystem for practical quantum advantage. Research thrusts include: Classical...
by U-M MICDE | Sep 5, 2023
Prof. Kiedrowski’s research focuses on the development of advanced algorithms and software for the solution of the linearized Boltzmann equation applied to particle transport for a broad range of nuclear applications. Specific activities include the effective...
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 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...
