Dr. Mourad M.H. Henchiri is a highly accomplished academic with a strong background in both education and research. He earned his Ph.D. from the International Islamic University Malaysia (IIUM) in May 2022, following an earlier Ph.D. from Atlantic International University (USA) in February 2014. He also holds a Master’s degree and a Bachelor’s degree, both from the University of Gafsa in Tunisia.
Dr. Henchiri has a wealth of teaching experience, having served as a lecturer at institutions such as Arab University of Sciences and IFAE in Tunisia, as well as an IT tutor at the Ministry of Education in Oman. He has been a dedicated lecturer at the University of Nizwa, Oman, since 2012. Throughout his career, Dr. Henchiri has contributed significantly to the academic community. He has been an International Program Committee (IPC) member for 12 international conferences, including five IEEE-sponsored events. Additionally, he has been a keynote speaker at prestigious conferences such as the NIST National conference and the ICICS. Dr. Henchiri is an active reviewer for renowned international scientific journals, including The International Journal of Digital Information and Wireless Communications (IJDIWC), The Advances in Science, Technology, and Engineering Systems Journal (ASTESJ), and The Baghdad Science Journal (BSJ). Furthermore, he serves as an editor for the International Journal of Engineering and Information Systems (IJEAIS).
His contributions to academia have been vital in advancing the fields of digital information and wireless communications.
Advances in Science, Technology, Engineering Systems
Integrating Wave Theory, Optical Engineering, and Quantum Mechanics in Computer Vision
Computer vision (CV) is a multidisciplinary field that stresses on computational algorithms to enable machines to interpret and understand visual data. Central to this field are principles derived from wave theory, optical engineering, and, more recently, quantum mechanics. Wave equations, the foundation of wave-based phenomena, play a crucial role in modeling light propagation and processing visual signals. Optical engineering principles govern the design of cameras and sensors, shaping how images are captured and interpreted in CV applications. In turn, wave optics informs image processing techniques such as Fourier transforms, optical flow analysis, and multi-resolution image analysis. While traditional computer vision focuses on the classical wave nature of light, emerging areas in quantum imaging and quantum computing are beginning to push the boundaries of visual data processing. Quantum technologies offer new possibilities for improving the resolution, sensitivity, and computational efficiency of CV systems. This presentation explores how wave theory, optical engineering, and quantum mechanics interconnect to advance the field of computer vision, highlighting both established methodologies and emerging innovations in quantum-enhanced imaging and quantum computing for vision-based applications.