Francis Boabang
Papers
2
Total Citations
49
H-Index
2
About
Francis Boabang is a leading researcher at the intersection of 5G-enabled Tactile Internet and remote robotic surgery, with a primary focus on overcoming the critical communication challenges that stand between current technology and truly reliable teleoperation. His work addresses the fundamental requirement of ultra-low latency (1 ms) and near-perfect reliability (99.999%) for surgical applications. Boabang’s major contributions include developing a pioneering machine learning framework that intelligently handles delayed or lost packets during remote robotic surgery—a problem that could otherwise prevent vital messages between surgeon and patient from being delivered. His most cited work (27 citations) provides a robust solution for maintaining surgical integrity despite network disruptions. Additionally, his framework for predicting haptic feedback during needle insertion (22 citations) tackles a crucial element of robotic surgery, enabling more precise and safer procedures. By bridging the gap between 5G network capabilities and the stringent demands of surgical robotics, Boabang’s research is paving the way for the practical realization of remote surgery, directly impacting patient outcomes and expanding access to specialized surgical care worldwide.
Research Focus
Key Achievements
Top Papers
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