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Biomedical Engineering

Zhongming Liu

My research is at the intersection of neuroscience and artificial intelligence. My group uses neuroscience or brain-inspired principles to design models and algorithms for computer vision and language processing. In turn, we uses neural network models to test hypotheses in neuroscience and explain or predict human perception and behaviors. My group also develops and uses ...

Ronald Gary Larson

Larson’s research has been in the area of “Complex Fluids,” which include polymers, colloids, surfactant-containing fluids, liquid crystals, and biological macromolecules such as DNA, proteins, and lipid membranes. He has also contributed extensively to fluid mechanics, including microfluidics, and transport modeling. He has also has carried out research over the past 16 years in the ...

Nicole Seiberlich

My research involves developing novel data collection strategies and image reconstruction techniques for Magnetic Resonance Imaging. In order to accelerate data collection, we take advantage of features of MRI data, including sparsity, spatiotemporal correlations, and adherence to underlying physics; each of these properties can be leveraged to reduce the amount of data required to generate ...

Xudong (Sherman) Fan

We conduct research to analyze breath from patients in order to diagnose and monitor diseases. We also develop imaging modalities to analyze tissues for cancer diagnosis

Arvind Rao

Sriram Chandrasekaran

Sriram Chandrasekaran, PhD, is an Associate Professor, Biomedical Engineering, College of Engineering & Michigan Medicine Dr. Chandrasekaran’s Systems Biology and Drug Discovery lab develops computer models to decipher how thousands of proteins work together to orchestrate complex processes like embryonic development or metabolism and how this complex network breaks down in diseases like cancer. They ...

Alfred Hero

Alfred O. Hero, PhD, is the R. Jamison and Betty Williams Professor of Engineering at the University of Michigan and co-Director of the Michigan Institute for Data Science. The Hero group focuses on building foundational theory and methodology for data science and engineering. Data science is the methodological underpinning for data collection, data management, data ...

Jeff Fessler

My research group develops models and algorithms for large-scale inverse problems, especially image reconstruction for X-ray CT and MRI.  The models include those based on sparsity using dictionaries learned from large-scale data sets.  Developing efficient and accurate methods for dictionary learning is a recent focus.

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Sriram Chandrasekaran

Associate Professor, Biomedical Engineering, College of Engineering & Michigan Medicine

Xudong (Sherman) Fan

Professor, Biomedical Engineering

Jeff Fessler

Professor, EECS, College of Engineering Biomedical Engineering, College of Engineering Radiology, Michigan Medicine

Alfred Hero

Professor, EECS, College of Engineering Biomedical Engineering, College of Engineering Statistics, LSA

Ronald Gary Larson

AH White Distinguished University Professor, Chemical Engineering

Zhongming Liu

Associate Professor, Biomedical Engineering

Arvind Rao

Associate Professor, Computational Medicine and Bioinformatics, Michigan Medicine Radiation Oncology, Michigan Medicine Biomedical Engineering, College of Engineering

Nicole Seiberlich

Associate Professor, Co-Director of Michigan Institute for Imaging Technology and Translation, Radiology