Education:
Prof. Ali Mansour has an outstanding educational background in the field of signal processing. He obtained his Electric-Electronic Engineering Diploma in August 1992 from the Faculté de Génie, Université Libanaise, where he was the top graduate of his class. In July 1993, he completed a D.E.A. in Signal – Image – Speech, with a specialization in Signal, from the Institut National Polytechnique de Grenoble (INPG), France. Following this, in January 1997, he earned his Ph.D. in Signal – Image – Speech, with a focus on Blind Source Separation, from INPG. In November 2006, Prof. Mansour achieved the prestigious Habilitation à Diriger des Recherches (HDR), the highest academic qualification in the French system, from the Université de Bretagne Occidentale (UBO), France, with research focused on statistical approaches for blind source separation applied to robotics and electronic warfare.
Professional Experience:
Prof. Ali Mansour has an extensive professional background, blending academic expertise with contributions to the defense sector. He has held key positions, including being a staff member at ENSIETA, an engineering school under the French Ministry of Defense, where he worked on various classified research projects. His research during this period primarily focused on blind source separation, robotics, and electronic warfare. In addition to his defense work, Prof. Mansour has been actively involved in academia, supervising Ph.D. candidates and postdoctoral researchers. His collaborations span prestigious institutions such as Nagoya University in Japan and Granada University in Spain, contributing to global research projects in signal processing and communication intelligence. His leadership in research is further exemplified by his role in preparing his Habilitation à Diriger des Recherches (HDR), which requires overseeing successful Ph.D. projects and conducting original research across multiple disciplines.
Research Interests:
Prof. Ali Mansour’s research interests are centered around advanced topics in signal processing, with a primary focus on blind source separation. His work explores the development of statistical methods for separating mixed signals, which has applications in various fields including robotics, digital communications, and electronic warfare. Prof. Mansour is also deeply involved in communication intelligence (COMINT) and cognitive radio, studying how signal processing techniques can enhance the efficiency of wireless communications and information gathering. Additionally, his research extends to statistical analysis and digital communications, making significant contributions to both civilian and defense technologies. Through his innovative work, Prof. Mansour addresses complex challenges in the integration of signal processing with modern technologies.
Skills:
Prof. Ali Mansour possesses a diverse and robust skill set that complements his expertise in signal processing and engineering. He is proficient in programming languages such as Fortran, Pascal, C, and Assembler, enabling him to develop complex algorithms and models for signal processing applications. His expertise extends to advanced software tools, including Mathematica, Matlab, and Maple, which he utilizes for data analysis and simulations. Additionally, he is skilled in using Pspice for circuit simulations, enhancing his capability in electronic design. Prof. Mansour is also adept in document preparation and presentation tools such as MS Office, LaTeX, Prosper, and Beamer, facilitating effective communication of his research findings. His technical proficiency is further complemented by his fluency in English, French, and Arabic, allowing him to collaborate effectively in international research settings.
Concution:
Prof. Ali Mansour’s impressive educational background, international research collaborations, and extensive publication record position him as a leading researcher in his field. His contributions to signal processing and blind source separation, coupled with his involvement in cutting-edge research areas like robotics and electronic warfare, make him a highly suitable candidate for the Best Researcher Award. His excellence in both teaching and research further supports his candidacy, reflecting a balance of innovation, mentorship, and academic leadership.
Publication Top Noted:
- Internet-of-Things (IoT)-based Smart Agriculture: Toward Making the Fields Talk
- Authors: M Ayaz, M Ammad-Uddin, Z Sharif, A Mansour, EHM Aggoune
- Year: 2019
- Journal: IEEE Access 7, 129551-129583
- Citations: 1160
- Removing Artifacts from Electrocardiographic Signals Using Independent Components Analysis
- Authors: AK Barros, A Mansour, N Ohnishi
- Year: 1998
- Journal: Neurocomputing 22 (1-3), 173-186
- Citations: 273
- New Challenges in Wireless and Free Space Optical Communications
- Authors: A Mansour, R Mesleh, M Abaza
- Year: 2017
- Journal: Optics and Lasers in Engineering 89, 95-108
- Citations: 245
- Spectrum Sensing for Cognitive Radio: Recent Advances and Future Challenge
- Authors: A Nasser, H Al Haj Hassan, J Abou Chaaya, A Mansour, KC Yao
- Year: 2021
- Journal: Sensors 21 (7), 2408
- Citations: 161
- Blind Separation of Sources: Methods, Assumptions, and Applications
- Authors: A Mansour, AK Barros, N Ohnishi
- Year: 2000
- Journal: IEICE Transactions on Fundamentals of Electronics, Communications and …
- Citations: 143
- Adaptive Array Beamforming Using a Combined LMS-LMS Algorithm
- Authors: AM J. A Srar, K.-S. Chung
- Year: 2010
- Journal: IEEE Transactions on Antennas and Propagation 58 (11)
- Citations: 128
- Double Random Phase Encryption Scheme to Multiplex and Simultaneously Encode Multiple Images
- Authors: A Alfalou, A Mansour
- Year: 2009
- Journal: Applied Optics 48 (31), 5933-5947
- Citations: 118
- UAV-Assisted Dynamic Clustering of Wireless Sensor Networks for Crop Health Monitoring
- Authors: M Ammad Uddin, A Mansour, D Le Jeune, M Ayaz, EHM Aggoune
- Year: 2018
- Journal: Sensors 18 (2), 555
- Citations: 105
- Performance Analysis of Space Shift Keying (SSK) Modulation with Multiple Cooperative Relays
- Authors: HAAM R. Mesleh, S. Ikki
- Year: 2012
- Journal: EURASIP Journal on Advances in Signal Processing 10, 1-16
- Citations: 99