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Engineering

Silas Alben

I develop and use optimization algorithms (Newton-based, gradient-based, and genetic algorithms) to understand problems in fluid and solid mechanics with applications to biology. Examples of optimally efficient snake locomotion

Kazuhiro Saitou

Dr. Kazuhiro Saitou’s research areas are computational design, manufacturability-driven structural topology optimization, multi-material, multi-process, multi-component structural topology optimization (M^3 TO), computational optimal synthesis of structural assemblies, and physics-informed AI for structural and assembly optimization.

Peter Seiler

I work in the area of robust control theory which focuses on the impact of model uncertainty on systems design. My research mainly focuses on the use of models for the design of control systems. This has applications to the design of autopilots on aircraft, the operation of wind turbines, and other engineered systems. The ...

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 non-destructive evaluation, (2) cost-effective, scalable, and generalizable machine learning, and (3) multi-modal data fusion. By integrating advanced data science tools ...

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 non-destructive evaluation, (2) cost-effective, scalable, and generalizable machine learning, and (3) multi-modal data fusion. By integrating advanced data science tools ...

Rabab Haider

I am an Assistant Professor of Civil and Environmental Engineering at the University of Michigan. My research centers on designing future energy systems under deep decarbonization, and achieving clean, reliable, and affordable energy for All. My research advances methodologies for planning and operating electric power infrastructure using optimization and AI, and leveraging principles of energy ...

Vladimir Dvorkin

My work focuses on decision-making models and algorithms for enhancing planning, operation, and pricing in electric power systems with substantial renewable energy integration and rising AI-driven electricity demand. This involves developing prescriptive analytics—such as decision-focused and physics-informed machine learning models—to manage grid uncertainties, building large-scale equilibrium models to analyze interactions among AI users in the ...

Patricia Alves-Oliveira

I lead Robot Studio, a Research lab in the Robotics Department of the University of Michigan. Our work is focused on democratizing health and arts with social robots. We develop human-centered robot systems that enhance the quality of life and that promotes creativity. Our lab is interdisciplinary, composed of researchers from computer science, engineering, information ...

Jiaqi Li

Dr. Jiaqi Li’s research interests include industrial decarbonization of materials, such as concrete and hydrogen, for civil and energy infrastructure through the use and generation of renewable energy and carbon capture, utilization, and storage. His research uses in-house experimental results to validate modelling work and uses machine learning tools such as regression, clustering, network analysis, ...

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Yasser Aboelkassem

Assistant Professor, College of Innovation and Technology

Peter Adriaens

Professor, Civil and Environmental Engineering, College of Engineering Ross School of Business School for Environment and Sustainability

Carlos Aguilar

Assistant Professor, Biomedical Engineering

Hyun-soo Ahn

Professor, Technology and Operations, Ross School of Business Supply Chain Management

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