Md Zia Uhr Rahman
Papers
2
Total Citations
10
H-Index
2
About
Md Zia Uhr Rahman’s research bridges autonomous systems and biomedical engineering, with a focus on sensor-driven control and surgical precision. His work on embedded beamforming for autonomous vehicles introduced a novel PID-based trajectory sensing system using ultrasound transmitter-receiver arrays to measure obstacle distance via time-of-flight analysis—a contribution that has garnered 6 citations and laid groundwork for low-cost, real-time navigation in robotics. In the medical domain, Rahman advanced surgical safety by characterizing mechanical and thermal stresses during tissue-instrument interactions, developing methods to quantify contact forces from scalpels, clamps, and graspers. This 2020 study, cited 4 times, addresses a critical gap in robotic and traditional surgery: preventing false or erroneous tissue handling that can lead to complications. By integrating signal processing with biomechanics, Rahman’s work offers tangible solutions for autonomous vehicle guidance and safer surgical interventions. His interdisciplinary approach—combining embedded systems, control theory, and medical imaging—positions him as a researcher tackling real-world challenges in intelligent transportation and healthcare technology.
Research Focus
Key Achievements
Top Papers
- 1
- 2