I am a doctoral student in the Department of Computer Science
at The Johns Hopkins University. I am part of the Computational Interaction and Robotics Lab, I am
advised by Dr Gregory D Hager and Dr Bruno Jedynak.
Asteroid detection: We aim to develop asteroid detection, tracking, and identification algorithms that can be hosted on-board a spacecraft to serve as an early warning system for asteroids approaching the earth.
Efficient Search: The goal is to develop parallelizable Bayesian schemes for fast object localization in images, which can be used in conjunction with Computer Vision and Machine Learning techniques to locate the objects efficiently.
P. Rajan, W. Han, R. Sznitman, P. Frazier, B. Jedynak.
Bayesian Multiple Target Localization.
International Conference on Machine Learning (ICML), 2015.
P. Rajan, M. Canto, E. Gorospe, A. Almario, A. Kage, Ch. Winter, G. Hager, Th. Wittenberg, and Ch. Munzenmayer.
Automated diagnosis of barrett's esophagus with endoscopic images.
World Congress on Medical Physics & Biomedical Engineering 2009, pages 2189-2192. Springer, September 2009.
S. Seshamani , P. Rajan, R. Kumar, H. Girgis, T. Dassopoulos, G. Mullin, G.D. Hager.
A Meta Registration Framework for Lesion Matching.
Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2009.
R. Kumar, P. Rajan, S. Bejakovic, S. Seshamani, G. Mullin, T. Dassopoulos, G. Hager.
Learning Disease Severity for Capsule Endoscopy Images.
IEEE International Symposium on Biomedical Imaging (ISBI). pp. 1314--1317, 2009.
S. Seshamani, R. Kumar, P. Rajan, S. Bejakovic, G. Mullin, T. Dassopoulos, G.D. Hager.
Detecting Registration Failure.
IEEE International Symposium on Biomedical Imaging (ISBI). pp. 726--729, 2009.
I was a teaching assistant for Introduction to Machine Learning in Spring'14.
Computational Stereo: Stereo matching and correspondence on the da Vinci surgical system.
Barrett's Esophagus: Detection and classification of lesions in the human esophagus using endoscopic images.
first name at cs dot jhu dot edu
Hackerman 136, 3400 N Charles Street, Baltimore, MD-21218