VISE Spring Seminar Ann Majewicz Fey, PhD 3.9.23
VISE Spring Seminar
to be led by
Ann Majewicz Fey, PhD
Robert and Francis Stark Centennial Fellowship in Engineering,
The University of Texas at Austin
Date: Thursday, March 9, 2023
Time: 11:45 a.m. Lunch, 12:00 p.m. start
Location: Stevenson 5326
Sensing and Modeling Surgeon Interactions for Enhanced Training and Robotic Controls
Human-generated, preventable errors, particularly those made intra-operatively, can lead to morbidity and mortality for the patient, poor training outcomes for residents, and high costs for the hospital. Surgical robotic systems could be designed to avoid these errors and improve training outcomes by interpreting, reacting to, and assisting human behavior. This talk will describe some novel data-driven methods to predict, in real-time, surgical skill, surgical style, and bimanual coordination, as well as present new systems that could be used to assist with surgical intervention or training in a variety of domains.
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 at UT Austin 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 at UT Southwestern Medical Center and at the Dell Medical School. 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.