Shweta Bhardwaj

Shweta Bhardwaj is a Researcher at Google Research (via Optimum InfoSys Ltd), working in the Mixed-Mode User Understanding team. Previously, she served as a Data Scientist at Flipkart (2019-2021) and held a research internship at NVIDIA Bangalore (2018). She holds an M.S. (by Research) from IIT Madras (2016-2019), advised by Dr. Mitesh M. Khapra, and a B.Tech. in Computer Science from Guru Nanak Dev University.

Education:

• M.S. (by Research), IIT Madras, 2016-2019
• B.Tech. in Computer Science, Guru Nanak Dev University

Her research focuses on Computer Vision, Explainable AI, and Model Compression. She emphasizes ethical AI applications for societal challenges like criminal justice and healthcare. Recent work includes developing input-adaptive neural networks for fine-grained visual recognition and benchmarking AI systems for sustainability goals.

Her publications span topics like video classification optimization, neural network plasticity, and interpretable subspaces in image representations. She collaborates on benchmarks like Colorbench (2025) and Editval (2023), advancing AI robustness and multimodal understanding.

Advising & Grants: Advised by Dr. Gaurav Aggarwal (Google Research), Dr. Shourya Roy (Flipkart), and Dr. Mitesh M. Khapra (IIT Madras). No explicit grants mentioned in the text.

Labs & Teams: Associated with RBC-DSAI Lab at IIT Madras (led by Dr. Balaraman Ravindran) and currently part of Google's Mixed-Mode User Understanding team.