Ann Majewicz Fey completed B.S. degrees in Mechanical Engineering and Electrical Engineering at the University of St. Thomas, the M.S.E. degree in Mechanical Engineering at Johns Hopkins University, and the Ph.D. degree in Mechanical Engineering at Stanford University. Dr. Majewicz Fey joined the Department of Mechanical Engineering as an Associate Professor in August 2020, where she directs the Human-Enabled Robotic Technology Laboratory. She holds at courtesy appointment in the Department of Surgery and Perioperative Care at Dell Medical School and the Department of Surgery at UT Southwestern Medical Center. She is also a Core Faculty member with Texas Robotics. Previously, she was an Assistant Professor of Mechanical Engineering at the University of Texas at Dallas. She is an associate editor for the IEEE Robotics and Automation Letters and has also been an associate editor for the IEEE International Conference on Intelligent Robots and Systems. She is a recipient of the National Science Foundation CAREER award (2019) and the CRII award (2014). Her research interests focus on the interface between humans and robotic systems, with an emphasis on improving the delivery of surgical and interventional care, both for the patient and the provider. In addition to research, she is passionate about project-based learning at both undergraduate and graduate levels, centered on mechatronic system design.
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News
Guihua Yu Wins Global Prize for Innovation in Water
Texas Engineer Guihua Yu recently received the Grand Discovery Prize at the 2025 Global Prize for Innovation in Water (GPIW)
Published by the Cockrell School of Engineering
3D Printed Chip Packages Could Supercharge Semiconductor Manufacturing
Engineers at The University of Texas at Austin are leading a team that aims to revolutionize the production of semiconductor chips with a new 3D printing method.
Published by UT News
UT-Led Team Wins Gordon Bell Prize for Breakthrough Research on Real-Time Tsunami Digital Twin
Professor Omar Ghattas and team win prestigous supercomputing award.
Published by UT News
John Goodenough: 1922-2023
John B. Goodenough, who received the Nobel Prize in Chemistry in 2019 for his contributions to the development of the lithium-ion battery, passed away in June 2023.
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Research Topics
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Acoustics
Acoustics engineers perform research on problems of both a basic and applied nature in physical...
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Advanced Manufacturing and Design
Advanced Manufacturing and Design uses technological advances to create products and systems that...
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Advanced Materials Science and Engineering
The Advanced Materials Science and Engineering research area in the Walker Department of...
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Analytics and Probabilistic Modeling
Decisions are often difficult because the outcome is uncertain. Researchers focused on Analytics...
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Biomechanical and Biomedicine
Biomechanics is the application of fundamental mechanical engineering principles to biological...
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Clean Energy Technology
Clean energy technology research focuses on advancing clean energy technology at every stage, from...
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Complex Systems
Complex Systems includes the science, mathematics and engineering of systems with simple...
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Computational Engineering
Computational engineers develop and apply the computational models, data assimilation techniques,...
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Engineering Education
Engineering Education research focuses on understanding how best to recruit, retain and prepare a...
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Nano and Micro-scale Engineering
As materials, mechanisms, and machines are scaled down to the micro- and nano-scales, new physical...
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Nuclear and Radiation Engineering
Encompasses health physics, radiation engineering, research reactor beam port experiments,...
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Robotics and Intelligent Mechanical Systems
Robotics and intelligent machines are emerging as prime technologies that can provide a wide range of...
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Undergraduate Mechanical Engineering Program
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Graduate Mechanical Engineering Program
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Nobel Prize Recipient
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