- I am looking for motivated full-time Ph.D students who are interested in pursuing their thesis in the exciting juncture of classical and statistical AI (often dubbed as neuro-symbolic methods).
I am an Assistant Professor (Grade I) at IIT Kharagpur Department of CSE. I was a Postdoctoral Researcher at Microsoft Research India advised by Dr. Monojit Choudhury. Prior to joining MSR India, I spent 1.5 years in Adobe Research as a full-time Researcher. I completed by Ph.D from CIDSE, Arizona State University in June 2018, under the supervision of Prof. Chitta Baral and Prof. Yezhou Yang.
Deployable AI systems should be able to reason with knowledge that is commonplace to humans. Thus, my research aims to enhance, evaluate, and explain different types of complex reasoning abilities of AI systems. At MSRI, I explored evaluation and enhancement of reasoning capabilities of Transformers-based language models. Apart from end-to-end reasoning, I am paralley exploring multi-hop reasoning capabilities of neural methods in both symbolic and natural language domains. During my Ph.D, I have explored enhancement of reasoning capabilities of image understanding systems. Through a combination of Deep Learning, Knowledge Representation, and Probabilistic Logical Reasoning, I demonstrated the benefits of using reasoning and knowledge in Visual Question-Answering, Captioning, image puzzle solving and visual reasoning.