Dr. Mohammed Morsy Naeem Farag is an accomplished Associate Professor of Electrical Engineering with over two decades of academic experience. He holds a Ph.D. in Computer Engineering from Virginia Tech (2012), an M.Sc. (2007), and a B.Sc. (2003) in Electrical Engineering from Alexandria University, where he graduated with distinction and honors.Dr. Farag's research lies at the intersection of machine learning, signal processing, and cybersecurity, focusing on developing innovative solutions for edge computing and cyber-physical systems. His work has been published in high-impact journals such as IEEE Access and Sensors, demonstrating his commitment to advancing the field.As an educator, Dr. Farag has developed and taught a wide range of electrical and computer engineering courses at both undergraduate and graduate levels. His teaching philosophy emphasizes practical application and student engagement, often involving students in cutting-edge research projects. He has supervised numerous graduate and undergraduate students, many of whom have gone on to successful careers in academia and industry.Dr. Farag's expertise extends beyond the classroom and laboratory. He has played a pivotal role in curriculum development and quality assurance, contributing significantly to ABET and NCAAA accreditation processes. As the chair of the quality committee in the Electrical Engineering Department at King Faisal University, he has been instrumental in enhancing program quality and student outcomes.His technical proficiencies span a broad spectrum, including machine learning frameworks (TensorFlow, PyTorch), hardware description languages (VHDL, Verilog), and various CAD tools for VLSI design. This diverse skill set allows him to bridge the gap between theoretical concepts and practical applications in his research and teaching.Dr. Farag is committed to continuous professional development, regularly participating in workshops and training programs to stay at the forefront of his field. He is fluent in Arabic and English, enabling him to collaborate effectively in international academic environments.Looking ahead, Dr. Farag aims to further his research in AI-driven signal processing for edge devices and expand interdisciplinary collaborations to address complex challenges in electrical and computer engineering. He is dedicated to nurturing the next generation of engineers and contributing to the advancement of technology in the region and beyond.