Seyed Hamid Reza Roodabeh

Papers

Total Citations

H-Index

About

Dr. Seyed Hamid Reza Roodabeh is a pioneering researcher at the intersection of artificial intelligence and robotic surgery, with a core focus on real-time surgical activity recognition and prediction. His most-cited work introduces a multimodal transformer architecture that enables the simultaneous recognition and forecasting of surgical gestures and trajectories from brief video segments, directly addressing a critical bottleneck in autonomous surgical systems. By integrating vision and kinematic data, this framework achieves unprecedented temporal precision, allowing robotic platforms to anticipate surgeon actions milliseconds in advance—a breakthrough for enhancing intraoperative safety and procedural autonomy. With 9 citations since its 2024 publication, this paper has already influenced the development of next-generation surgical robots. Dr. Roodabeh’s contributions extend beyond algorithm design; his work provides a foundational methodology for translating short-term motion patterns into long-horizon predictions, bridging the gap between current teleoperated systems and fully autonomous surgical assistance. His research promises to reduce human error in high-stakes environments, marking him as a rising leader in computer-assisted intervention.