Mohammad Samie

Biography

Mohammad has a strong life-long commitment working for universities and industries. He worked for over 10 years as a digital engineer, university researcher and lecturer. His experience covers various fields and sectors including academic research (Cranfield University, Bristol Robotics Laboratories, University of the west of England (UWE)), system maintenance and industrial control (industrial cranes at ports and harbors), electronic engineering (broadcasting systems), and electronic system design, simulation, verification and implementation fellows (microelectronic systems companies) that involve a wide range of scientific and technical skills. As an academic, he developed academic, scientific and industrial collaborations with researchers in a number of different countries including the UK, leading to independent studies which resulted in a number of international journals, conference papers, and book chapters while two of them are also awarded as best papers. Mohammad was involved with a number of EPSRC funded projects including “No-Fault-Found” (NFF) and “Self-healing cellular architectures for biologically-inspired highly reliable electronic systems” (SABRE). SABRE was a project that Mohammad had contributed toward his PhD titled as ""Bio-inspired prokaryotic array for fault-tolerant electronic systems"". During his PhD, Mohammad was intensively involved with RTL/FPGA design, simulation, verification and implementation to design a self-healing FPGA-like array and implement it in a Xilinx FPGA; and demonstrate its self-healing feature in a robot control application. Mohammad received his PhD from the University of the West of England, MSc from Shiraz University and BSc from the Azad University of Saveh all in the field of Electronics.

Research Interest

Mohammad is particularly interested in various aspect of system health management including design for test-ability, prognostics, diagnostics, self-healing and fault-tolerant systems conducted on both robotics (self-healing robot) and electronics (low and high power electronics such as self-healing FPGA-like re-configurable arrays, and smart driver for power module with integrated prognostics capability) as well as RTL/FPGA/ASIC design, test and verification, tools, techniques, and applying them to a wide range of different industrial applications.