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Machine Learning

Oliver Kripfgans

My colleague Dr. Chan and I have introduced a high-frequency miniature ultrasound probe for cross-sectional imaging of oral soft tissues which has attracted great interest by the dental community. Ultrasound will revolutionize dentistry which is currently unable to adequately image soft tissue. It may become an objective diagnostic tool to quantify soft tissue inflammation and ...

Scott Hummel

My career aim is to improve clinical outcomes and quality of life in older patients with heart failure (HF), with a primary focus on practical dietary interventions for prevention and treatment. I led the first NIH-funded dietary intervention study in heart failure with preserved ejection fraction (HFpEF) and the first NIH-funded study of nutritional support ...

SangHyun Lee

My research focuses on maximizing the performance of people through technologies like wearables, robotics, and automation. Particularly, I apply signal processing techniques, computer vision, deep learning models, and large multi-modal models to better understand people performances in construction and built environments. My research is interdisciplinary, drawing from fields such as physiology, biomechanics, psychology, and behavioral ...

Christoforos Mavrogiannis

One of my favorite research projects involves the development of algorithms for socially aware robot navigation, the problem of enabling a robot to traverse crowded human environments while accounting for human safety and comfort. One of my most exciting moments has been the formalization of the coupling between human and robot motion in crowded environments ...

Stephanie Preston

Two of our most recent projects apply our theory of emotion, stress, and empathy with multimodal physiological data collection and machine learning to study people's response to real-world events. In both studies, participants wear biometric devices (a watch or a ring) that measure their physiological response during a real-world event and then the data are ...

Kira Barton

The focus of the Barton Research Group lies at the intersection of smart manufacturing, robotics, and intelligent controls. Research in my group focuses on the development of cooperative and learning-based methods to harness information from complex systems to improve understanding and enhance the performance of these systems. Our research combines data-based learning with fundamental physics ...

Ravi Allada

Understanding why we sleep remains one of the most enduring mysteries in science. A core feature of sleep is its homeostatic regulation, i.e., waking experience drives subsequent sleep. Here we are investigating the molecular basis of the sleep homeostat: 1) how does the homeostat sense waking signals? 2) How does the homeostat trigger sleep? 3) ...

Anders Kiledal

I use omics techniques to study Lake Erie cyanobacterial harmful algal blooms (cHABs) and work with collaborators from the medical school to study the effects of graft versus host disease on intestinal microbes following bone marrow transplant. One of my major projects is the Great Lakes Atlas of Multi-omics Research (GLAMR) database, which seeks to ...

Shubhanshu Shekhar

I am broadly interested in developing principled algorithms for addressing practical problems in machine learning and data science. My recent work has focused mainly in the area of anytime valid sequential hypothesis testing, estimation, and change detection.

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Keith Aaronson, MD

MD, Collegiate Professor of Cardiovascular Medicine, Professor of Internal Medicine, Michigan Medicine Cardiology Clinic | Cardiovascular Center

Egide Abahuje

Assistant Professor of Cardiac Surgery, Medical School

Steven Abney

Associate Professor, Linguistics, LSA School of Information EECS, College of Engineering (Courtesy)

Yasser Aboelkassem

Assistant Professor, College of Innovation and Technology

Mohamed Abouelenien

Associate Professor, College of Engineering and Computer Science

Joelle Abramowitz

Associate Research Scientist, Survey Research Center, Institute for Social Research

Andrew J. Admon, MD, MPH, MSc

Clinical Lecturer, Department of Internal Medicine

Peter Adriaens

Professor, Civil and Environmental Engineering, College of EngineeringRoss School of BusinessSchool for Environment and Sustainability

Mahesh Agarwal

Associate Professor, Mathematics and Statistics, College of Arts, Sciences, and Letters