Md Masudur Rahman

SRI International, Purdue University West Lafayette

Papers

5

Total Citations

90

H-Index

4

About

Md Masudur Rahman is a leading researcher in semi-autonomous robotic surgery, focusing on enabling life-saving telesurgery in austere and hostile environments where communication is limited. His work addresses the critical challenge of high-latency and low-bandwidth networks, which can render traditional teleoperation unsafe. Rahman’s major contributions include the development of the DESERTS framework, a delay-tolerant system that allows surgical robots to operate autonomously during communication disruptions, and the creation of the DESK dataset—a robotic activity dataset with 29 citations that is essential for training machine learning models in dexterous surgical skill transfer. He has pioneered methods for transferring surgical knowledge between robots and across different procedures, reducing bandwidth requirements by encoding atomic surgical actions, or “surgemes.” His highly cited papers, including SARTRES, demonstrate a systematic approach to building semi-autonomous systems that can take over during critical phases of surgery. With over 90 combined citations, Rahman’s work is foundational for the future of deployable battlefield and remote medical robots, directly impacting the safety and efficacy of teleoperated surgery in the most challenging environments.

Research Focus

Key Achievements

4
H-Index
5
Papers
90
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
DESK: A Robotic Activity Dataset for Dexterous Surgical Skills Transfer to Medical Robots
29 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: SRI International, Purdue University West Lafayette

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago