
Lalithkumar Seenivasan
347 Malone Hall
Assistant Research Professor, Laboratory for Computational Sensing and Robotics
Research interests:
- Surgical data science
- Medical robotics
- AI for medicine
- Human-machine collaboration
Lalithkumar Seenivasan is an incoming assistant research professor in the Laboratory for Computational Sensing and Robotics and an affiliate member of the Malone Center for Engineering in Healthcare at the Johns Hopkins University. His work focuses on shaping the future of health care automation through transformative assistive and autonomous technologies across three synergistic domains: clinical training, surgical assistance and task automation, and clinical operations analysis and automation.
Seenivasan’s research contributions have been recognized with a 2023 Student Author Registration Award from the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society, a National University of Singapore (NUS) Outstanding Undergraduate Researcher Prize, and a NUS College of Design and Engineering Innovation & Research Award. He also serves as a reviewer for leading venues—including MICCAI, the International Conference on Information Processing in Computer-Assisted Interventions, the IEEE International Conference on Robotics and Automation, the IEEE/RSJ International Conference on Intelligent Robots and Systems—and journals—including the International Journal of Computer Assisted Radiology and Surgery and IEEE Transactions on Medical Imaging (TMI)—and has been recognized with a MICCAI 2023 Outstanding Reviewer Award and the 2023–24 IEEE TMI Distinguished Reviewer Bronze Level distinction.
Seenivasan received his PhD in biomedical engineering and his BEng (with honors) in electrical engineering from NUS after receiving his diploma in mechatronics from Temasek Polytechnic. His doctoral thesis pioneered surgical visual question answering and surgical scene graphs for surgical scene understanding. Beyond academia, Seenivasan has over four years of industry experience, having progressed from software engineer to engineering manager at a robotics startup, where he led research and development for food and warehouse delivery robots.