Alexander Rodríguez

Alexander Rodríguez

My work advances AI methods for modeling complex spatiotemporal dynamics to support trustworthy, data-driven decision-making, with primary applications in population health. Ongoing projects in my group include the development of physics-informed machine learning...
Bogdan Ioan Popa

Bogdan Ioan Popa

Prof. Popa’s broad research interest is on controlling the propagation of mechanical and electromagnetic waves with smart complex structures to influence physical processes in prescribed ways, to image and gain new knowledge on the surrounding environment,...
Andrew Allman

Andrew Allman

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:...
Zhongming Liu

Zhongming Liu

Zhongming Liu is an Associate Professor and the Associate Department Chair of Graduate Programs in the Biomedical Engineering Department. His research connects neuroscience and artificial intelligence by developing AI models inspired by biological neural systems....
Atul Prakash

Atul Prakash

Atul Prakash is a Professor and the Chair of the CSE Department. He works on the efficiency and robustness/security of machine learning systems and computer systems, more broadly. On the efficiency side, he and his group have been looking at data compression...
Indika Rajapakse

Indika Rajapakse

Indika Rajapakse, PhD, is a Professor of Computational Medicine & Bioinformatics at Medical School, with a secondary appointment in Mathematics, College of Literature, Science, and the Arts at the University of Michigan, Ann Arbor. He is a member of the Smale...
Qing Qu

Qing Qu

My research interest lies in the intersection of signal processing, data science, machine learning, and numerical optimization. In particular, I am interested in computational methods for learning low-complexity models from high-dimensional data. The current research...
Chenhui Shao

Chenhui Shao

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...
Yuhan Zhang

Yuhan Zhang

I am interested in interdisciplinary research at the intersection of condensed matter physics and photonics, leveraging advanced AI techniques to investigate these systems. My work focuses on the inverse design of topological photonic structures, where I develop...
Jiahao Shi

Jiahao Shi

I’m working on stochastic optimization, nonlinear optimization, derivative-free optimization, constrained optimization, and machine learning.