I am a PhD student in Imaging Science at the Rochester Institute of Technology.
I am working with Dr. Christopher Kanan on
machine learning algorithms mostly in the intersection of language and vision.
My overall goal is to develop models capable of learning language grounded visual representations.
Besides my main research, I am also interested in studying how technology in general can be effectively used for
betterment of lives in developing and underdeveloped countries. I am looking forward to collaborate with people from
diverse backgrounds and share ideas on how AI in general can be used for more good.
Nov 2018: TallyQA won the best poster award in the annual RIT Graduate Showcase!! Nov 2018: Our paper is accepted to AAAI 2019. (acceptance rate ~16%) July 2017: Started working at Klab under Dr. Christopher Kanan. July 2017: Passed the Imaging science PhD qualifying exam.