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.
Mengbing Li

Mengbing Li

My interests lie in designing and applying statistical methods to individualized health; in particular, incorporating structural prior information into Bayesian models. My current focus is on topic models, latent class models, and reinforcement learning. I have worked...
Diana Karosas

Diana Karosas

The Neural Engineering in Epilepsy Lab leverages computational modeling and data science to better understand and control epilepsy. My research utilizes a dynamical model of bursting to study seizures. Right now, I am focused on investigating propagation, suppression,...
Sahil Bhola

Sahil Bhola

My research focuses on advancing uncertainty quantification and probabilistic generative modeling in aerospace engineering. I am part of the University of Michigan’s Computational Aerosciences Lab (CASLAB), where my research involves improving the reliability of...
Lixuan Chen

Lixuan Chen

My research interests mainly focus on: – Inverse Problems in Medical Imaging:MRI Reconstruction, Motion Correction, Atlas Construction, CT Metal Artifact Reduction, etc. – Model-based Deep Learning for Medical Imaging: Neural Representation, Diffusion...
Chaiti Bhagawat

Chaiti Bhagawat

Chaiti is a first year PhD student. She is interested in how remote sensing can be used to provide useful decision-making information for smallholder farmers in India, taking into account the various socioeconomic and climatic challenges they face. She has a...
Xinhai (Renly) Hou

Xinhai (Renly) Hou

My research focuses on deep learning in healthcare and medicine. Specifically, I am interested in self-supervised learning, computer vision, and multimodal machine learning, with a particular emphasis on disease diagnosis and prognosis. Currently, I am working on...