About Me
Hello, I am a passionate researcher and innovator, committed to exploring critical aspects of AI to address pressing real-world problems. I broadly work in the areas of Artificial Intelligence, Healthcare, and Reinforcement Learning. More specifically, my current work focuses on AI for Healthcare, Sample Efficient Learning, Clinical Decision Support (CDS), and AI for Social Good.
I completed my PhD in computer science and engineering from the Indian Institute of Technology, Patna, specializing in Natural Language Processing (NLP), Artificial Intelligence, and Reinforcement Learning. I am fortunate to be advised by Dr. Sriparna Saha and Prof. Pushpak Bhattacharyya.I was a recipient of the prestigious Prime Minister's Research Fellowship (PMRF) award for my doctoral study and have made a significant contribution to the medical dialogue system. The findings are reported through patents and publications in esteemed journals and conferences such as IEEE Transactions on AI, KBS, ACL, ACM Multimedia, CIKM, Coling, ECAI, and ECIR. Beyond this, our works have also garnered various recognitions in commercial space, such as national media coverage, Microsoft-supported startup recognition, a bronze medal in Inter IIT 2023, and a nomination for GPAI 2023.
My Favorite Quote'Imagination is more important than knowledge. Knowledge is limited. Imagination encircles the world' - Albert Einstein
Recent News
- Our work on dialogue generation loss function, “Hi Model, generating “nice” instead of “good” is not as bad as generating “rice”:Towards Context and Semantic Infused Dialogue Generation Loss Function” got accpeted in ECML-PKDD 2024
- Our work on multi-modal medical dialogue summarization, “From Sights to Insights:Towards Summarization of Multimodal Clinical Documents” got accpeted in ACL 2024
- Our work on multi-modal medical dialogue generation, “Seeing is believing! Towards Knowledge-Infused Multi-modal Medical Dialogue Generation” got accpeted in LREC-COLING 2024
- Secured 3rd position in Engineer's conclave (Patent: System and Method for Automated Disease Diagnosis) among 20 IITs at IIT Madras and won 🥉 bronze medal in Inter IIT 12.0 (2023)
- Our two research papers “Yes, this is what I was looking for! Towards Multi-modal Medical Consultation Concern Summary Generation” and "An EcoSage Assistant: Towards Building A Multimodal Plant Care Dialogue Assistant" have got accepted in 46th European Conference on Information Retrieval (ECIR) 2023
- Our symptom investigation and diagnosis assistant project has been selected (One of the ten outstanding projects chosen from the state of Bihar) for presentation at the Global Partnership on Artificial Intelligence (GPAI) 2023.
- Our two research papers “Experience and Evidence are the eyes of an excellent summarizer! Towards Knowledge Infused Multi-modal Clinical Conversation Summarization” and "Diving into a Sea of Opinions: Multi-modal Abstractive Summarization with Comment Sensitivity" have got accepted in 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023)
- Our paper “Your tone speaks louder than your face! Modality Order Infused Multi-modal Sarcasm Detection” has got accepted in 31st ACM International Conference on Multimedia (ACM Multimedia 2023)
- Our paper “Local Context is not enough! Towards Query Semantic and Knowledge Guided Multi-Span Medical Question Answering” has been accepted to 26th European Conference on Artificial Intelligence, ECAI 2023
- Received Outstanding Teaching Assistant Award (2023) for Foundational of Machine Learning Course (CS564), IIT Patna
- Our research work on the Automatic Disease Diagnosis Dialogue System got featured in the national media and Tedx Talks Times of India , Prabhat Khabar & TEDxIITPatna