Shakil Ahmed
Papers
2
Total Citations
7
H-Index
2
About
Shakil Ahmed’s research lies at the intersection of robotic surgery, satellite formation control, and intelligent systems, where he develops predictive and autonomous solutions for high-stakes environments. His most cited work, “A Predictive Approach for Enhancing Accuracy in Remote Robotic Surgery Using Informer Model” (2025, 4 citations), addresses a critical challenge in Tactile Internet applications: achieving precise, real-time estimation of robotic arm positions during remote surgery. By leveraging a Transformer-based Informer framework, Ahmed’s model significantly improves accuracy and efficiency, paving the way for safer teleoperated procedures. Earlier, in “A Hybrid Systems Approach to Closed-Loop Navigation of Electromagnetically Actuated Satellite Formations using Potential Functions” (2008, 3 citations), he demonstrated expertise in autonomous spacecraft coordination, combining hybrid systems theory with potential functions for robust formation flying. Though his citation counts are modest, Ahmed’s work bridges cutting-edge AI with practical engineering—from operating rooms to orbital mechanics—showcasing a versatile ability to tackle complex, real-world problems. His contributions highlight the growing role of deep learning in critical infrastructure, making him a researcher to watch in the evolving fields of telerobotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2