Research @ UVA Engineering

Dr. Ann Reimers retired as a full-time educator at UVa in May of 2023, but continues as a part-time academic advisor to Mechanical Engineering students.  She is excited to be able to focus on supporting her advisees in their academic, emotional and professional growth.

Petra Reinke received her first degree, a diploma (M.S.) from the University of Konstanz in Germany, in Chemistry where she focused on physical chemistry.

Karina researches how people think about "good work" in the digital age. Trained as a sociologist, they use qualitative methods to get at how people critique technology and labor, and how they try to fix it. They are writing a book for MIT Press about what happens when high-status tech workers in Silicon Valley become disillusioned with their jobs.

Professor Gabriel Robins earned his Ph.D. in Computer Science from UCLA in 1992, where he received an IBM Fellowship and a Distinguished Teaching Award.

Ethan joined the Department of Mechanical and Aerospace Engineering in 2023. In addition to teaching, he is active in research and helps to manage the UVA ExSiTE Lab. Ethan's research interests focus on the development and application of experimental techniques, to analyze heat and energy transfer in extremes of material size and environment.

Scully's primary research interest is to understand the relationships between a material's structure and composition and properties related to environmental degradation. His historical current focus is on advanced aluminum, magnesium, titanium, ferrous and nickel-based alloys, as well as stainless steels and aluminum-based intermetallic compounds.

Bryn Seabrook's research interests include, bioethics, public participation in environmental policymaking, energy efficiency, climate change, negotiating the environmental - consumer nexus, and analyzing American consumer culture.

Majid Shafiee-Jood is a Research Assistant Professor in the Department of Civil and Environmental Engineering and the Department of Systems and Information Engineering at the University of Virginia.

Cong Shen is an Associate Professor in the Department of Electrical and Computer Engineering at UVa. He obtained his PhD degree from UCLA. His current interests are in generative models, in-context learning, reinforcement learning, federated learning, and their engineering applications (particularly in wireless communications and networking).