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Data Mining

Foyzul Hassan

Foyzul’s research is in the area of Software Engineering, with a focus on DevOps, VR/AR test optimization, software build processes, script code analysis, program repair, and fault localization. His research goal is to enhance software development productivity by supporting developers through tools that leverage program analysis, automated program repair, fault localization, and machine learning (ML) ...

Matt Friedman

I became interested in the fossil record generally, and fishes specifically, from growing up in the Cleveland area. Here the rocks contain remarkable fossils of early fishes dating to ~360 million years ago. I was fascinated by these strange animals as a kid, and somehow that interest persisted. The most exciting thing is our ability ...

Jian Kang

Professor Jian Kang’s research lies at the forefront of data science in biostatistics, with a strong emphasis on developing and applying advanced Bayesian and machine learning methodologies to extract insights from complex biomedical data. His work integrates statistical rigor with computational innovation to address high-dimensional, structured, and noisy data commonly encountered in public health, neuroscience, ...

Muneesh Tewari

One of our projects, which is a collaboration with Dr. Sung Won Choi's lab and others, is aimed at finding new ways for personalized prediction of side effects of a new cancer therapy called CAR-T cell therapy. This is a potentially life-saving therapy that can also have serious side effects, including one called cytokine release ...

Ashootosh Tripathi

Ashu Tripathi, Ph.D., specializes in fusing state-of-the-art data-science workflows with microbial natural-product discovery. His group leverages large-scale genome mining, MS/MS-networking, and cheminformatics pipelines to prioritize strain–metabolite pairs, then applies machine-learning classifiers to predict bioactivity and dereplicate known scaffolds. Tripathi built a virtual screening platform—an AI-augmented funnel that combines virtual docking, polypharmacology network analysis, and biophysical ...

Dimitrios Gounaridis

In the coming years, I plan to advance the integration of geospatial data science (GDS), remote sensing, and machine learning to study the spatial and temporal dynamics of forest-based carbon systems. Working with a team of talented students, we are developing a novel, spatially explicit model of forest dependency that links forest carbon dynamics with ...

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 ...

Geoffrey Siwo

My research is driven by a strong belief that abstracting complex scientific problems into computational problems has the power to accelerate the speed of scientific discovery and change who, here and how scientific discoveries are made and translated into practical solutions. I apply this principle to integrate computational techniques such as machine learning and artificial ...

Meng Wang

My research goal is to integrate diverse biomedical data, driving early disease detection, personalized interventions, and effective disease prevention. My lab is interested in developing novel computational and statistical methods to investigate the relationship between wearable sensor data, molecular profiles, and health outcomes in age-related heart and brain diseases, as well as mental health. We ...

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Mohamed Abouelenien

Associate Professor, College of Engineering and Computer Science

Eytan Adar

Professor, Information, School of Information

Professor, Electrical Engineering and Computer Science, College of Engineering

Mahesh Agarwal

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

Carlos Aguilar

Associate Professor, Biomedical Engineering, College of Engineering and Medical School

Alauddin Ahmed

Associate Research Scientist, Mechanical Engineering, College of Engineering

Raed Al Kontar

Associate Professor, Industrial and Operations Engineering, College of Engineering

Amal Alhosban

Associate Professor, Computer Science, College of Innovation & Technology, University of Michigan - Flint

M. Reza Amini

Assistant Research Scientist, Naval Architecture and Marine Engineering

Sardar Ansari

Assistant Professor, Emergency Medicine