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 | Sep 22, 2023
My research goal is to understand computation in large-scale neural circuits through adaptive perturbations and real-time inference. My lab develops scalable and efficient machine learning algorithms to adaptively build models of neural and behavioral data online, and...
by U-M MICDE | Sep 5, 2023
Eban-Rothschild Lab focuses on uncovering the neuronal circuitry that governs natural behaviors. Utilizing state-of-the-art deep learning algorithms, we are able to detect, track, and classify behavioral patterns in animals, enabling high-throughput and intricate...
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...
