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Optimization

Steven Ceron

My projects span from the micro-scale to the macro-scale. On the microrobotics side, I have microrobot swarms composed of 300-micron diameter magnetic disks in a fluid that can be actuated with an oscillating magnetic field. Our goal is to eventually use future versions of these microrobot swarms for biomedical applications, where groups of microrobots could ...

Dae Woong Ham

Since 2022 during my PhD days, I have had a close collaboration with the Netflix experimentation team. In particular, given the rise of A/B testing, Netflix needed a new statistical method that allowed them to terminate experiments earlier, i.e., run many experiments faster and better. In my recent papers, where I worked directly with Netflix ...

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 ...

Mohamed Wiem Mkaouer

I just enjoy working on software engineering projects! My research interests often revolve around topics such as software maintenance and evolution, software quality, refactoring, empirical software engineering, and search-based software engineering. I have contributed to understanding how software systems can be improved over time with minimal disruption and maximum efficiency, utilizing automated techniques to enhance ...

Dariya Malyarenko

Dr. Malyarenko is an Associate Research Scientist, supporting operation of 3T Research MRI core that provides imaging services to over 50 multi-site clinical trials. These trials use multi-parametric/multi-contrast (mp)MRI to monitor disease progression and treatment response and require QA image analysis and bias correction for quantitative imaging biomarkers (QIBs). Her current research focus is on ...

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 ...

Jiasi Chen

One project my group worked on is cost-efficient use of large language models (LLMs). Recently, there has been a proliferation of LLMs by multiple providers, each with different inference accuracy, monetary cost, and latency. If a user has a finite monetary budget and wants to use LLMs to solve a series of problems, how should ...

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.

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Peter Adriaens

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

Alauddin Ahmed

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Hyun-soo Ahn

Professor, Technology and Operations, Ross School of BusinessSupply Chain Management

Silas Alben

Professor, Mathematics

M. Reza Amini

Assistant Research Scientist, Naval Architecture and Marine Engineering

Sardar Ansari

Assistant Professor, Emergency Medicine

Laura Balzano

Associate Professor, EECS, College of Engineering

Kira Barton

Professor, Mechanical Engineering

Brittany Baur

Assistant Research Scientist