Dhurba Tripathi
Assistant Instructor of Computer Engineering
Affiliation: NYU Abu Dhabi
Education: BS New York University Abu Dhabi
Research Websites: Embodied AI and Robotics Lab (AIR)
Research Areas: Autonomous Robots (Robotic Policy Learning), Deep Learning, Internet of Things
Dhurba Tripathi is an Assistant Instructor of Computer Engineering and a Research Assistant in the Embodied AI and Robotics Lab at New York University Abu Dhabi. He graduated as University Honors Scholar from NYU Abu Dhabi in 2025 with a BS in Computer Science and a minor in Applied Mathematics. His academic training spans machine learning, computer vision, and software engineering, underpinning fluency in modern deep learning frameworks and best software design practices.
Tripathi’s ongoing research centers on Embodied RobAI, an agenda that equips robots with Vision-Language Actions (VLA) so they can “see, understand, and act” in the physical world. This idea anchors his first-author submission “LAV-ACT: Language-Augmented Visual ACT for Bimanual Robotic Manipulation” (IEEE ICARA) in the field. He is also a co-author of: “A Light and Smart Wearable Platform with Multimodal Foundation Model for Enhanced Spatial Reasoning” (ACVR Workshop) and the astronomy data suite “Firmamento: A Multimessenger Astronomy Tool for Citizen and Professional Scientists” (The Astronomical Journal 167:3).
Previously, Tripathi served as a Machine-Learning Research Assistant at NYUAD, software-engineering intern at Dynamic Technosoft and Leapfrog Technology, and Trio computer-science tutor in New York. He earned third place in the 2021 NYUAD One-Day Hackathon, a gold medal in the 2017 LAC A-levels Math Olympiad, and top-20 national finishes in the Nepal Physics Olympiad (2018–19), while taking the third position entering the final round.