Hi! I am Parneet!
I am a PhD candidate in the Electrical and Computer Engineering Department at Rutgers University under the supervision of Prof. Kristin J. Dana. I am interested in the fields of computer vision, machine learning, deep learning and pattern recognition. My research focuses on computational skin texture models with applications in quantitative dermatology. I have worked on classification of confocal microscopy skin images using state-of-the-art deep learning methods and proposed a new hybrid deep learning method. My current work focuses on texture transfer in images using deep learning. I am recipient of a Google Anita Borg Scholarship (2016).
For my Masters, I analyzed radar images to detect deterioration in steel rods embedded within the concrete images. This work was developed for Robotic Assessment Bridge Inspection Tool which was selected by the American Society of Civil Engineers (ASCE) for the 2014 Charles Pankow National Award for Innovation.
Last summer, I was an intern at SRI International where I used deep learning for image classification. I have also interned at Broadcom Corporation where I worked on video stabilization for HDTVs. Before starting my graduate studies, I worked for two years as a software engineer with Robert Bosch Engineering and Business Solutions Ltd.