Ameer Mohammed

University of Bath, U.S. Air Force Institute of Technology, Kaduna Polytechnic

Papers

Total Citations

H-Index

About

Ameer Mohammed’s research lies at the intersection of advanced sensing, robotics, and precision agriculture, with a focus on developing intelligent systems for real-world applications. His most cited work introduces a multiple frequency electrical impedance tomography (EIT) method for fabric-based pressure sensors, enabling complex conductivity reconstruction—a breakthrough for pressure mapping in wearable technology and smart textiles (17 citations). This contribution demonstrates his ability to merge hardware innovation with algorithmic reconstruction. In robotics, Mohammed has made significant strides in state estimation and control. His work on designing a state estimator for a pick-and-place robotic arm (4 citations) addresses the critical challenge of estimating unmeasured system states, essential for robust automation. More recently, he has applied sliding mode control to trajectory tracking for ground agricultural robots (3 citations), directly tackling food security challenges through precision agriculture. By optimizing robot navigation in farmlands, his research enhances the efficiency of automated crop management. Mohammed’s work is notable for bridging theoretical control methods with practical, sensor-driven systems, offering scalable solutions for both industrial automation and sustainable agriculture.