š« Current Position and Academic Leadership
Dr. Akram Bennour has been an Associate Professor in the Computer Science Department at the University of Tebessa, Algeria, since 2009. Throughout his tenure, he has led several academic and research initiatives, significantly shaping the university’s research output. Notably, he has served as the Vice-Rector in charge of Scientific Research and International Cooperation (2012-2014) and Deputy Vice-Rector for higher education and continuing education (2019). Additionally, he holds leadership roles in various committees, including scientific and disciplinary bodies, reflecting his influence within the academic governance structure of the university.
š Early Academic Pursuits and Education
Dr. Bennourās academic journey began with his Bachelorās degree in Computer Science (2004) from the University of Mantouri, Constantine. He then completed a Magistere in Computer Science at the University of Tebessa in 2009, followed by a Doctorate in Computer Science from the University of Annaba in 2015. His commitment to advanced research led him to earn his Habilitation degree in 2019 from the University of Oum-el-Bouaghi, Algeria, marking a pivotal moment in his academic career.
š Contributions and Research Focus
Dr. Bennourās research spans across multiple areas, emphasizing nature-inspired metaheuristics, evolutionary computation, machine learning, artificial intelligence, and pattern recognition. His work delves deeply into image processing, especially in the contexts of satellite imagery, handwriting, and medical imaging. His contributions have significantly impacted AI and computational methods applied to medical diagnostics, such as his recent focus on early detection of neural diseases through handwriting analysis (2022-2025) and pulmonary disease diagnosis (2023-2026).
He has been actively involved in various research projects, including:
- Multi-Temporal Analysis of Images and Data Processing (2010-2013)
- Knowledge Extraction and Analysis (2013-2016)
- Data Protection within Electronic Administration (2020-2023)
š Professional Endeavors and Global Impact
Dr. Bennourās influence extends beyond academia. He serves as an editorial leader and guest editor for several prestigious journals, including Springerās Pattern Recognition Letters and SNCS Special Issues, focusing on machine learning and pattern recognition. His editorial leadership has contributed to advancing research in these fields and providing a platform for global research collaborations.
Additionally, he plays an instrumental role in organizing international conferences, such as the Springer International Conference on Intelligent Systems and Pattern Recognition (ISPR), where he has served as General Chair multiple times. These roles underscore his commitment to fostering global research dialogues and knowledge exchange.
š Teaching Experience and Mentorship
Dr. Bennour has an extensive teaching portfolio, reflecting his dedication to educating the next generation of computer scientists. His teaching spans various critical topics, including:
- Artificial Intelligence
- Computer Vision
- Data Structures and Algorithms
- Operating Systems and Security
He has taught both undergraduate and graduate courses since 2009, with his courses focusing on hands-on programming languages (e.g., Python, C++, MATLAB) and technical areas such as machine learning, image processing, and network security. His passion for teaching is evident in his role as Head of Masterās and Bachelor’s programs at the University of Tebessa, where he has shaped the curriculum to align with current industry needs.
āļø Technical Skills and Expertise
Dr. Bennour is highly skilled in a range of technical areas, including:
- Programming Languages: SQL Server, MATLAB, Python, C++, PHP/MySQL, Pascal
- AI & Machine Learning: Expertise in pattern recognition, image analysis, and biometrics
- System Administration: Proficient in Windows, Unix, and VMware environments
- Data Protection & Security: Advanced skills in backup systems, Exchange servers, and Active Directory management
His interdisciplinary expertise positions him as an authority in combining AI technologies with practical applications, especially in medical diagnostics and cybersecurity.
š Legacy and Future Contributions
Dr. Bennourās contributions to both academia and industry are profound, particularly in the application of AI for real-world problems. His research continues to shape the landscape of intelligent systems, and his leadership in international conferences and journals ensures that his influence remains global. As he continues his work on early disease detection and advanced AI applications, his future contributions are likely to have significant societal impacts, particularly in healthcare and medical technology.
š Academic Influence and Citations
Dr. Bennourās extensive body of research has contributed to the growing body of literature in his fields of expertise. Through his publications and editorial roles, he has advanced the academic discourse surrounding AI, machine learning, image processing, and pattern recognition. His work on pattern recognition, especially in medical contexts, is frequently cited and serves as a foundation for other scholars in related fields.
š Professional Memberships and Global Networks
Dr. Bennour is an active member of several international academic communities. His roles as General Chair for the ISPR conferences and his participation in organizing multiple international conferences demonstrate his commitment to fostering global collaboration and advancing research in intelligent systems and pattern recognition. His editorial work further solidifies his position as a key figure in the academic and research community.