ACM Hypertext Tutorial on Knowledge-infused Deep Learning
We hosted a fantastic tutorial on Knowledge-infused Deep Learning (KiDL) at the 31st ACM Hypertext Conference on July 15. Broadly, the tutorial covered many ...
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
AAAI-ICWSM Workshop on Cyber Social Threats: PC Member
PC Member for the AAAI-ICWSM Workshop on Cyber Social Threats, organized by Ugur Kursuncu Yelena Mejova, Jeremy Blackburn, and Amit Sheth Workshop solicit su...
Funded: USCAND EXCELLENCE INITIATIVE 2020 PILOT GRANT
Intelligent Infant Interaction Laboratory for the Prediction of Autism
Tutorial at ACM CoDS-COMAD and Workshop on K-iL at Knowledge Graph Conference 2021
Forthcoming Tutorial and Workshop in 2021
Knowledge-infused Learning in Healthcare
Invited talk at PyDATA Educational Conference 2020