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
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
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.
Psychidemic: Measuring the Spatio-Temporal Psychological Impact of Novel Coronavirus
Super excited to hear that our work on Psychemic, a method to measure spatio-temporal impact of COVID-19 on mental health of individuals in United States, is...
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 ...