Srinath Sridhar

Srinath Sridhar is the John E. Savage Assistant Professor in the Department of Computer Science at Brown University, where he leads the Interactive 3D Vision & Learning Lab (IVL). He is also an Amazon Scholar and a Visiting Faculty at the Indian Institute of Science (IISc).

His research lies at the intersection of 3D computer vision and artificial intelligence, with a focus on 4D spatiotemporal visual understanding of dynamic scenes involving objects, humans in motion, and their interactions. He develops foundational methods for perceiving and reasoning about 3D environments over time.

The recent publications reflect a strong trend in learning-based 3D reconstruction, spatiotemporal modeling, and human-centric vision tasks. His work combines geometric principles with deep learning to solve challenging problems in visual understanding.

• NSF CAREER award
• Google Research Scholar award
• Best Student Paper award at WACV 2025
• Best Paper Honorable Mention award at Eurographics 2019

Srinath advises research at Brown through the IVL lab and has received competitive external funding, including the NSF CAREER and Google Research Scholar awards. His interdisciplinary work bridges computer vision, AI, and robotics. He collaborates with institutions such as Stanford University, Max Planck Institute, and Indian Institute of Science.

He leads the Interactive 3D Vision & Learning Lab (IVL) at Brown University, which focuses on advancing 3D and 4D visual intelligence through deep learning and geometric reasoning. The lab emphasizes open science, with several public repositories on GitHub.