Alan Kuntz is an Assistant Professor in the School of Computing and the Robotics Center at the University of Utah, where he leads the Artificial intelligence and Robotics in Medicine (ARM) lab. Prior to joining the University of Utah, he was a postdoctoral scholar at the Vanderbilt Institute for Surgery and Engineering and the Department of Mechanical Engineering at Vanderbilt University. He holds a B.S. degree in Computer Science from the University of New Mexico, and M.S. and Ph.D. degrees in Computer Science from the University of North Carolina at Chapel Hill. His research focuses on healthcare applications of artificial intelligence, design optimization, and robot motion planning.
Michael Bentley is a Ph.D. student in the School of Computing at the University of Utah in the Robotics track. He graduated with an undergraduate degree in Mathematics and Physics from the University of Utah in 2012 with a minor in Computer Science. Prior to his graduate studies, He spent time working as a software engineer for GE Healthcare. Michael's research interests include motion planning, continuum robots, software correctness and numerical reproducibility.
Sarvenaz Chaeibakhsh is a Ph.D. candidate in the Mechanical Engineering department, University of Utah. She graduated from the University of Tennessee Knoxville in 2016 with a M.S. degree in mechanical engineering, focusing on rehabilitation robotics. Sarvenaz started her Ph.D. studies at the University of Utah in the fall of 2016 as a part of the robotics track. As a member of the ARM lab and E&S lab, her Ph.D. thesis is focused on two main projects: optimizing hospital room configurations with respect to patients’ risk of fall, and using machine learning methods to estimate 3D ground reaction forces from pressure insoles output data. Outside of the lab, Sarvenaz enjoys spending time with her friends, traveling and painting.
Ph.D. Student, Computing: Robotics
Email: briancho (at) cs (dot) utah (dot) edu
Brian Cho is a Ph.D. student in the School of Computing at the University of Utah. He began his Ph.D. studies in the fall of 2020 in the Robotics track. Prior to his Ph.D. studies, he was a researcher in the Center for Intelligent and Interactive Robotics at the Korea Institute of Science and Technology (KIST). He holds B.S. and M.S. degrees in Electrical and Electronics Engineering from Hanyang University, focusing on robotics and reinforcement learning. His research interests include surgical robot automation, task and motion planning, and AI for robots.
Bao Thach is a Ph.D. student in the School of Computing. Before joining the University of Utah, Bao spent four years at Texas Christian University where he obtained his bachelor’s degree in Electrical Engineering with highest distinction. Bao is broadly interested in robot learning, a field at the intersection of machine learning and robotics. Currently at the U, he focuses his research on surgical robot automation and deformable object manipulation. When not doing research, Bao enjoys playing basketball, ping pong, and swimming.
B.S. Student, Applied Mathematics and Computer Engineering
Alex Leavitt is an undergraduate student pursuing a B.S. in Applied Mathematics and Computer Engineering at the University of Utah. She is interested in the medical applications of machine learning and robotics. Outside of research, she enjoys painting and playing the violin.
Rahul Thomas Benny, M.S. Student, First Position: Software Engineer, AI/Robotics at Altitude AI
Aidan Copinga, B.S. Student, First Position: Ph.D. Student, Carnegie Mellon University
Jiawen Song, B.S. Student, First Position: M.S. Student, Carnegie Mellon University
Qianlang Chen, B.S. Student, First Position: M.S. Student, UC San Diego
Trevor Schwehr, B.S. Student, First Position: M.S. Student, Johns Hopkins University
Laura Brannon, B.S. Student, First Position: Software Engineer, Apple