Mohammad Ibraheem Khan
Papers
2
Total Citations
42
H-Index
2
About
Dr. Mohammad Ibraheem Khan is a pioneering researcher in smart materials and advanced manufacturing, with a primary focus on shape memory alloy (SMA) actuators and embedded sensor systems. His most significant contributions lie in developing novel laser-processed SMA actuator designs that integrate strain gauge sensors directly into the actuator structure, enabling real-time, dual-resistance measurements for precise control. In his landmark two-part study (2017, 26 citations), Dr. Khan established a model-based framework for position estimation in these actuators, while his subsequent work (2020, 16 citations) advanced the field by employing recurrent neural networks to simultaneously estimate both position and force. This innovative approach bridges the gap between material science and machine learning, offering transformative potential for applications in robotics, biomedical devices, and aerospace systems. Dr. Khan’s research is distinguished by its practical emphasis on sensor-actuator integration, reducing system complexity while enhancing functionality. His work has been widely cited by researchers exploring intelligent materials and adaptive structures, cementing his reputation as a key innovator in the development of next-generation, self-sensing actuators for precision control systems.
Research Focus
Key Achievements
Top Papers
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