Prasad Vagdargi

PhD Student in Computer Science

I-STAR Lab, Johns Hopkins University

Department of Computer Science, Johns Hopkins University

Email me at prasad [at] jhu [dot] edu

Prasad Vagdargi is a graduate student at I-STAR Lab, advised by Prof. Jeffrey H. Siewerdsen, at Johns Hopkins University. He is working at the intersection of Biomedical Engineering, Computer Science and Medical Robotics. His research interests include application of computer vision as a tool in the operating room, to support decision making and visualization of information. Another aspect of his work involves using developments in Deep Learning to predict the surgical outcome using multiple modalities of patient information.

Also a volunteer at Maryland SPCA, he is glad to help you find your perfect pet companion.

Interests

Intraoperative Navigation
Computer Vision in Surgery
Augmented Reality
Surgical Outcome Prediction

Education

Ph.D. Student in C.S., Ongoing

Johns Hopkins University
M.S.E. (Medical Robotics), 2019

Johns Hopkins University
B. Tech. in Mechanical Engineering, 2016

Visvesvaraya National Institute of Technology

Recent & Upcoming Talks

Calibration and Registration of a freehand video-guided surgical drill for orthopaedic trauma

Feb 15, 2020 14:20 Houston, TX

Publications

Please visit my Google Scholar page for continuously updated list of publications.

Research and Course Projects

For a list of my research experiences and topics, please click here.

For my course projects and other information, please click here.

Skills

MATLAB

Including Simulink, Stateflow, Simscape and RTOS. Used for prototyping, analysing and verifying early stage, multifaceted systems.

Pytorch

Worked on various supervised and unsupervised models for image segmentation, classification and registration.

OpenCV + VTK

For Image Processing, SFM, Stereo Reconstructions, Calibration, Feature based tracking, 3D Visualization and AR.

Python

For integrating systems together with Deep Learning platforms. Also used as a bridge for computer vision applications.

C++

Developed near real-time, multithreaded, Windows MFC Desktop applications with GUI for computer vision.

SolidWorks + V-REP

Developed models and assemblies along with simulations to predict material properties. Also using as a rendering platform for visualizing.

Sensors

Optical Trackers (NDI Vicra, Claron), Electromagnetic (NDI Aurora), Force (ATI, Optoforce) Sensors.

Electronics

Worked on Arduino, TI ARM Cortex M4, Atmel AVR and PIC Series.

Prototyping

Experience in 3D Printing, machining, CNC lathes and mills, welding and metalworking.

Contact

The best way to contact me is through email at prasad [at] jhu [dot] edu.

Carnegie Building, Suite #780, 600 North Wolfe Street, Baltimore, MD 21287
Skype Me