I’m a fifth-year Ph.D. candidate at the College of Information Sciences and Technology, The Pennsylvania State University. I am advised by Prof. C.Lee Giles. I am a member of The Intelligent Information Systems Research Laboratory in which I work specifically on the CiteSeerX project.
Here, with the help of Dr. Jian Wu I am responsible for research, crawling, updating the index and maintaining the repository of academic documents at scale(>20M documents). My thesis is on building advanced indexing and retrieval techniques for Math Search. This work is under the project MathSeer on which I am actively working with the help of Dr. Richard Zanibbi.
I have had the unique honor of working with great people at Allen AI in the Semantic Scholar Team where I was mentored by Sergey Feldman and Doug Downey. Previously, I have worked with Dr. Puneet Agarwal at the Tata Innovation Labs as a Researcher.
PhD in Informatics, Currently Pursuing
Penn State University
Integrated Post Graduation (Masters) in Information and Communication Technology, 2014
Indian Institute of Information Technology and Management, Gwalior
Date | News |
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September ‘22 | Released ACL Anthology Corpus - 113 stars on github [ dataset details ] |
August ‘22 | Teaching IST 441 Information Retrieval and Search Engines [ course details ] |
April ‘22 | S2AMP - S2 Analysis of MentorshiP was accepted in JCDL’22 in the late breaking and dataset track [ data ] |
March ‘22 | Accepted an internship offer from Allen AI for Summer’22 in Seattle, WA |
December ‘21 | Building an Accessible, Usable, Scalable, and Sustainable Service for Scholarly Big Data accepted in International Conference on Big Data [ pdf ] |
September ‘21 | What Were People Searching For? A Query Log Analysis of An Academic Search Engine accepted in JCDL’21 as a poster [ pdf ] |
May ‘21 | Started my summer internship at Allen AI. Working with the S2 Research team on modelling and inference of academic mentorship at scale |
February ‘21 | Large scale subject category classification of scholarly papers with deep attentive neural networks accepted at Frontiers in research metrics and analytics [ paper ] |
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Participated in 3 Competiitons