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Engineering

Bogdan Ioan Popa

Complex media such as biological tissue have complicated anisotropic physical properties (e.g. stiffness tensor, Willis coupling tensors) that depend on direction and are important to measure. For example, they may inform on the tissue health. We probe complex media with mechanical waves and process the scattered fields to learn the media dynamics using an array ...

Amelia Warden

One line of my research focuses on understanding and modeling visual clutter, a major challenge in the design of augmented and mixed reality (AR/MR) systems that overlay virtual information on the real world. We developed and applied computational models to quantify different levels of clutter and examined how clutter impacts attention and task performance. A ...

Wei Lu

Wei Lu is the James R. Mellor Professor of Engineering, and Professor in the Electrical Engineering and Computer Science department at the University of Michigan – Ann Arbor. His research interest includes in-memory computing systems, neuromorphic computing systems, resistive-random access memory (RRAM) and memristor devices, and neuro-inspired algorithms. Specifically, he is interested in efficient computing ...

Ke Sun

My research centers around developing innovative methodologies for ambient intelligence by designing intelligent mobile, wearable, and IoT systems. Leveraging advanced data science tools, my work integrates machine learning, deep neural networks, and multimodal signal processing techniques to interpret complex sensor data. My methodological approaches include supervised and self-supervised representation learning, sensor fusion, knowledge-guided model optimization, ...

James Ashton-Miller

By combining our analysis of published Olympic data on the reaction times of ~200 male and ~200 female sprinters at the Olympic Games with our own published biomechanical data on sex differences in the rates of developing ankle muscle strength, we identified a flaw in the way Omega measured the reaction times of female Olympic ...

Hugo Gonzalez Villasanti

Systems theory and artificial intelligence tools for cyber-physical and human systems.

Lauro Ojeda

With over 25 years of experience in inertial sensing, sensor data fusion, Kalman filtering, localization, motion tracking, biomechanics, and human gait analysis, Lauro Ojeda brings a wealth of knowledge and expertise to these fields. His pioneering research in foot tracking has been instrumental in advancing unrestricted gait analysis, driven by ongoing collaborations with various departments ...

Lionel Robert

As a human-robot interaction (HRI) researcher, I utilize a diverse range of data science tools and methodologies to bridge the gap between humans and robots. For example, I use advanced machine learning algorithms, including supervised and unsupervised learning, to analyze large datasets collected from human-robot interactions, thereby enabling the development of adaptive and responsive robotic ...

Jonathan Rubin

I am a physician with an M.D., Ph.D. My Ph.D. is in biophysics and theoretical biology. I have been involved in ultrasound scanning and research for over 40 years. I have extensive experience in flow imaging including Doppler techniques, decorrelation flow imaging, volume flow, and perfusion imaging. I am particularly interested in quantitative blood flow ...

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Yasser Aboelkassem

Assistant Professor, College of Innovation and Technology

Peter Adriaens

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

Carlos Aguilar

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

Alauddin Ahmed

Associate Research Scientist, Mechanical Engineering, College of Engineering

Hyun-Soo Ahn

Professor, Technology and Operations, Stephen M Ross School of Business

Raed Al Kontar

Associate Professor, Industrial and Operations Engineering, College of Engineering

Silas Alben

Professor, Mathematics

Todd Allen

Professor, Nuclear Engineering & Radiological Sciences

Mark Allison

Associate Professor, Computer Science, Engineering and Physics