Dept. of Comp. Sci. & Engg.
410, SIT Building,
Delhi - 110016, India.
Call : +91-8826859252
email : email@example.com
I am a PhD scholar in computer science department at Indian Institute of Technology, Delhi, working with Dr. Parag Singla. I joined here in July 2013. I completed M.tech in Computer Science at computer science department at IIT Delhi in June 2013. Previously, I completed B.tech in Information Technology at YMCA University of Science and Technology, Faridabad in the year 2011. Briefly, I did an internship with Kristian Kersting at Technical University of Dortmund from Sep 2016-Dec 2016. There, I am worked on learning tractable deep neural networks, and learning more interpretable object embeddings.
I work in the area of Statistical relational learning. My thesis topic is "Exploiting symmetries in Probabilistic Graphical Models".
I am also a part of Data Analytics & Intelligence Research (DAIR), which is a fledgling research group at IITD-CSE focused on combining and integrating various fields of data sciences such as machine learning, data management, and data mining towards the goal of building intelligent software systems.
Currently, I am in the job market and looking for research job opportunities. Please find my Curriculum Vitae here.
My primary research area is efficient Modelling, Learning and Inference in Structured Probabilistic Graphical Models. These models can be used to solve various problems in ML and AI in which there is an inherent symmetry among the objects. One such popular model is Markov Logic, which can express both "relationship between objects" and "uncertainity in the relationships" in a unified way. The symmetry of relationships is then exploited to make inference and learning efficient.