Cell manipulation, surgical simulation (needle insertion and soft tissue modeling), surgical robotics (breast biopsy and brain tumor) and compliant grasping.
Prior to joining University of Maryland, College Park, Dr. Jaydev P. Desai was an Associate Professor at Drexel University. He completed his undergraduate studies from the Indian Institute of Technology, Bombay, India, in 1993. He received his M.A. in Mathematics in 1997, M.S. and Ph.D. in Mechanical Engineering and Applied Mechanics in 1995 and 1998 respectively, all from the University of Pennsylvania. Prior to joining Drexel University, he was a Post-Doctoral Fellow in the Division of Engineering and Applied Sciences at Harvard University. He is a recipient of several NIH R01 awards, NSF CAREER award, and was also the lead inventor on the “Outstanding Invention of 2007 in Physical Science Category” at the University of Maryland, College Park. He is also the recipient of the Ralph R. Teetor Educational Award. His research interests include image-guided surgical robotics, reality-based soft-tissue modeling for surgical simulation, grasping, haptics, and micro-scale cell and tissue characterization. He is currently an Associate Editor of IEEE Transactions on Biomedical Engineering (TBME) and the Co-Chair of Surgical Robotics Technical Committee of IEEE Robotics and Automation Society. He is a Fellow of ASME and a member of IEEE.
He has been involved in a number of projects, such as:
MINIR-II: Minimally Invasive Neurosurgical Intracranial Robot
Robotic Haptic Feedback System for Bx/RFA of Breast Tumor under Continuous MRI
Developing Reality-Based Soft-Tissue Models for Real-Time Surgical Simulation
Scaled Bilateral Teleoperation and Characterization of Biological Specimens—From Tissues to Cells
Compliant Grasping Using Self-Sealing Suction Cup Arrays
Visit http://robotics.umd.edu/research/projects.php to learn more.
Honors and Awards
Fellow, American Society of Mechanical Engineers, 2015
- Minimally Invasive Neurosurgical Intracranial Robot
- New Approaches and Technologies Underlying Mechanisms Associated with Disease Onset and Progression in Breast Cancer
- NSF CMMI: Mechanical Phenotyping of Cells: Haptics-Enabled Atomic Force Microscopy
- NSF CompBio: Reality-based Data-driven Computer Models for Surgical Simulation