Rajeev Ranjan Dwivedi

I am Rajeev, a PhD student in the Data Science and Engineering Department at Indian Institute of Science Education and Research - Bhopal (IISER-B), supported by a TCS Research Fellowship. I work with Dr. Vinod Kr. Kurmi in VisDom Lab. I completed an Integrated M.Sc. in Statistics at the Central University of Rajasthan, with a minor in Economics, Computer Science and Mathematics. For my Master’s thesis, advised by Dr Deepesh Bhati, I proposed a new distribution — Skew Laplace Slash Beta — from the Slash family, designed to be asymmetric, heavy-tailed, and robust to extremes and outliers. I was introduced to NLP and Semantic Web applications by Dr Sarika Jain at NIT-Kurukshetra.

This past summer (May–July 2026), I was a PhD Tech Intern at Adobe Research in Bangalore, where I worked on building expert systems. Previously, I interned at Sony AI (Dec 2023–Mar 2024), where I built LLM-based explainability pipelines over knowledge graphs for scientific discovery and transparent multi-hop reasoning.

My research focuses on bias and fairness in AI, robust learning under spurious correlations, domain adaptation, and uncertainty estimation, with applications in computer vision and multimodal systems. Recent work includes black-box bias mitigation at CVPR 2026 and alignment-gated robust learning at ICLR 2026. I also work on transfer learning, knowledge graphs, and large language models.

I like to read books on Business and Economics in my free time and watch movies sometimes! I also enjoy cooking, and I usually cannot stop talking about South Indian Cuisine. Let’s get coffee if you are somewhere near! We can talk about tech, data, startups or anything of mutual interest. We’ll both probably learn something new in the process, and that’s fun.