Muhammad Hanif Lashari
Papers
2
Total Citations
10
H-Index
2
About
Muhammad Hanif Lashari is an emerging researcher whose work sits at the intersection of robotics, telecommunications, and artificial intelligence, with a focused specialization in Tactile Internet-enabled remote robotic surgery. His research addresses one of the most technically demanding challenges in modern telemedicine: achieving real-time, high-precision position estimation of robotic arms operating in latency-sensitive environments where even milliseconds of error can have critical consequences for patient safety. Lashari's most notable contributions include the development of a computationally efficient Kalman Filter-based position estimation method, which has already garnered 6 citations since its 2024 publication, and a Transformer-based Informer prediction framework introduced in 2025 that further advances accuracy in remote surgical systems. Together, these works reflect a systematic effort to bridge the gap between theoretical signal processing and practical surgical robotics applications. With a combined citation count of 10 across just two papers published within a single year, Lashari demonstrates a rapidly growing scholarly footprint. His research is particularly valuable to students and practitioners working in haptics, teleoperation, and next-generation 5G/6G-enabled healthcare systems, positioning him as a promising contributor to the future of intelligent remote surgery.
Research Focus
Key Achievements
Top Papers
- 1
- 2