Invited Talk at WeWork, Organized Workshop in Knowledge Graph Conference, and Podcast Interview with Boris Shalumov’s Chaos and Orchestra
Invited Talk at WeWork KGC KiL Workshop Podcast Interview
I am a Ph.D. candidate advised by Prof. Amit P. Sheth in the Artificial Intelligence Institute at The University of South Carolina.
Before starting Ph.D., I graduated from Delhi Technological University with masters in software engineering.
Previously, I was a Research Scientist and Ph.D. Fellow at Dataminr Inc. NYC working on
Machine Learning, Natural Language Processing, and Knowledge Graphs for building community resilience systems
for natural crises. My interdisciplinary research funded by NIMH and
NSF operationalizes the use of Knowledge Graphs,
Natural Language Understanding, and Machine Learning to solve social good problems in the domain of Mental Health, Cyber Social Harms, and Disaster Response.
Research Statement
Recent posts
2 Studies on Knowledge infusion using Reddit and Clinical Diagnostic Interviews at PLOS ONE (Q1 Journal: 2.74 IF) and JMIR (Q1 Journal: 5.03 IF)
Amazing effort to develop learning models on complex social meda conversation and open-ended clinical interviews
Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable
Accepted at IEEE Internet Computing Journal, Impact Factor: 5.28 link
Organizing KiML Workshop at 26th ACM KDD
Along with Alejandro (Alex) Jaimes, Sameena Shah, Fatma Ozcan, Biplav Srivastava, Amit Sheth, I am organizing KiML2020, International Workshop on Knowledge-i...
PC Member of Workshops @ AAAI and Abstract accepted at 20th World Congress on Psychiatry
Super excited to be a member of Program Committee of Workshops at AAAI 2021.