Jaydev Desai

Professor, Biomedical Engineering Georgia Tech College of Engineering

  • Atlanta GA

Jaydev Desai is an expert in the areas of medical robotics, image guided surgical robotics, and surgical simulation.

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Georgia Tech College of Engineering

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Biography

Dr. Jaydev P. Desai is currently a Professor and BME Distinguished Faculty Fellow in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech. He is also the Director of the Georgia Center for Medical Robotics (GCMR) and the Associate Director of the Institute for Robotics and Intelligent Machines (IRIM). 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. He was also a Post-Doctoral Fellow in the Division of Engineering and Applied Sciences at Harvard University. He is a recipient of several NIH R01 grants, NSF CAREER award, and was also the lead inventor on the “Outstanding Invention in Physical Science Category” at the University of Maryland, College Park, where he was formerly employed. He is also the recipient of the Ralph R. Teetor Educational Award. He has been an invited speaker at the National Academy of Sciences “Distinctive Voices” seminar series and was also invited to attend the National Academy of Engineering’s U.S. Frontiers of Engineering Symposium. He has over 160 publications, is the founding Editor-in-Chief of the Journal of Medical Robotics Research, and Editor-in-Chief of the Encyclopedia of Medical Robotics (currently in production). His research interests are primarily in the area of image-guided surgical robotics, rehabilitation robotics, cancer diagnosis at the micro-scale, and grasping. He is a Fellow of IEEE, ASME and AIMBE.

Areas of Expertise

Surgical Simulation
Medical robotics
Human Augmentation
Image Guided Surgical Robotics

Education

University of Pennsylvania

Ph.D.

Mechanical Engineering

1998

Indiana Institute of Technology - Bombay

B. Tech

Mechanical Engineering

1993

Affiliations

  • IEEE

Selected Media Appearances

Think Small

Horizons - Georgia Tech Research  online

2019-07-08

“It’s like having a surgeon’s fingers come out of the endoscope to manipulate the instruments,” said Jaydev Desai, director of the Georgia Center for Medical Robotics and a professor in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University.

Desai is collaborating with Dr. Joshua Chern, a neurosurgeon at Children’s, in research supported by a seed grant from the Imlay Innovation Endowment Fund at Children’s.

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ASU’s Southwest Robotics Symposium previews the new technology guiding the next wave of human-robot interaction

ASU Now: Access, Excellence, Impact  online

2019-01-27

For example, the ability to 3D-print flexible materials has dramatically expanded the field of medical robotics, according to guest speaker Jaydev Desai, a professor from Georgia Institute of Technology.

Desai’s micro-scale, robotically actuated guidewires present a new option for procedures like cardiovascular surgery, replacing rigid, difficult-to-insert instruments with soft, jointed devices.

“Look at your finger,” Desai instructed the attendees. “Imagine a guidewire that could afford independent flexibility at any of the three joints, like your finger," he said. “This significantly enhances a surgeon’s ability to navigate a complicated pathway of arteries without causing damage along the way."

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IEEE Names Extraordinary Indian American Engineers Newly Elevated Fellows for 2018

India West  online

2017-12-11

Jaydev Desai of the Georgia Institute of Technology in Atlanta was selected for contributions to medical and swarm robotics. Saibal Mukhopadhyay, also of Georgia Tech, was selected for contributions to energy-efficient and robust computing systems design.

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Selected Articles

Robotic Artificial Muscles: Current Progress and Future Perspectives

IEEE Transactions on Robotics

2019

Robotic artificial muscles are a subset of artificial muscles that are capable of producing biologically inspired motions useful for robot systems, i.e., large power-to-weight ratios, inherent compliance, and large range of motions. These actuators, ranging from shape memory alloys to dielectric elastomers, are increasingly popular for biomimetic robots as they may operate without using complex linkage designs or other cumbersome mechanisms. Recent achievements in fabrication, modeling, and control methods have significantly contributed to their potential utilization in a wide range of applications. However, no survey paper has gone into depth regarding considerations pertaining to their selection, design, and usage in generating biomimetic motions.

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A Large-Deflection FBG Bending Sensor for SMA Bending Modules for Steerable Surgical Robots

International Conference on Robotics and Automation (ICRA)

2019

This paper presents the development of a fiber Bragg grating (FBG) bending sensor for shape memory alloy (SMA) bending modules. Due to the small form factor, low cost, and large-deflection capability, SMA bending modules can be used to construct disposable surgical robots for a variety of minimally invasive procedures. To realize a closed-loop control of SMA bending modules, an intrinsic bending sensor is imperative. Due to the lack of bending sensors for SMA bending modules, we have developed an FBG bending sensor by integrating FBG fibers with a superelastic substrate using flexible adhesive. Since the substrate is ultra-thin and adhesive is flexible, the sensor has low stiffness and can measure large curvatures. Additionally, due to the orthogonal arrangement of the sensor/actuator assembly, the influence of temperature variation caused by SMA actuation can be compensated.

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Toward Patient-Specific 3D-Printed Robotic Systems for Surgical Interventions

IEEE Transactions on Medical Robotics and Bionics

2019

Surgical robots have been extensively researched for a wide range of surgical procedures due to the advantages of improved precision, sensing capabilities, motion scaling, and tremor reduction, to name a few. Though the underlying disease condition or pathology may be the same across patients, the intervention approach to treat the condition can vary significantly across patients. This is especially true for endovascular interventions, where each case brings forth its own challenges. Hence, it is critical to develop patient-specific surgical robotic systems to maximize the benefits of robot-assisted surgery. Manufacturing patient-specific robots can be challenging for complex procedures and, furthermore, the time required to build them can be a challenge.

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