Deepak Raina
I am a postdoctoral fellow at the Johns Hopkins Malone Center for Engineering in Healthcare
with Prof. Axel Krieger and
Prof. Muyinatu Bell. My research
interests lie in developing intelligent robotic systems for medical diagnostic and interventional procedures.
Specifically, my work uses deep learning for image analysis and learning from demonstration for robot manipulation.
At the Malone Center, I am working with trauma surgeons, roboticists, and ultrasound experts to advance
robotic ultrasound techniques for pre-hospital trauma diagnosis. I completed my Ph.D. in Mechanical Engineering
with Indian Institute of Technology (IIT) Delhi and Purdue University,
supervised by Prof. Subir K. Saha and
Prof. Richard Voyles. My doctoral research was supported
by two prestigious fellowships, Prime Minister's Research Fellowship (PMRF)
at IIT Delhi and SERB-Overseas Visiting Doctoral Fellowship (OVDF)
at Purdue University. During my Ph.D., I led a multidisciplinary team of doctors and engineers to
successfully develop the telerobotic ultrasound system and conducted 21 human trials.
I developed several deep-learning algorithms for ultrasound imaging analysis and probabilistic
machine-learning models for optimization of image quality with robotic manipulation of ultrasound probes.
Prior to joining Ph.D., I was a researcher at
TCS Robotics Research and Innovation Lab (Delhi), contributing towards the automation of warehouse
industry under the supervision of Dr. Swagat Kumar
and Mr. Rajesh Sinha. I obtained M.Tech at
IIT Jodhpur in 2017
advised by
Prof. Suril V. Shah. My master's research was centered around space robotics,
with a particular focus on dynamic impact modeling of robotic systems for on-orbit servicing operations,
such as debris capturing and satellite servicing.
My full CV is available here: CV
