Ashfaq Khokhar
Papers
2
Total Citations
10
H-Index
2
About
Ashfaq Khokhar is an emerging researcher whose work sits at the compelling intersection of robotics, telecommunications, and medical technology. His primary research focus centers on **Tactile Internet-enabled remote robotic surgery**, where he addresses one of the field's most critical challenges: achieving precise, real-time positional estimation of robotic surgical arms operating across network-delayed environments. Khokhar's most notable contributions include developing a computationally efficient **Kalman Filter-based position estimation method** for remote surgical robotics, which has already garnered 6 citations since its 2024 publication — a strong early impact for work in this specialized domain. Building on this foundation, his 2025 follow-up introduced a **Transformer-based Informer framework** for predictive position modeling, accumulating 4 citations within its first year and demonstrating the rapid recognition his methodologies are receiving from the research community. What makes Khokhar's work particularly significant is its direct clinical relevance: improving surgical precision in Tactile Internet environments could meaningfully expand access to expert surgical care across geographical boundaries. For students and researchers working in telemedicine, human-robot interaction, or next-generation network applications, Khokhar's contributions represent a promising and rapidly evolving body of work worth following closely.
Research Focus
Key Achievements
Top Papers
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- 2