Prof. Larbi Guezouli | Object Detection and Recognition | Best Researcher Award
Professor at Higher National School of Renewable Energies, Environment, Algeria
Profiles
Early Academic Pursuits
Prof. Larbi Guezouli’s academic journey began with a strong foundation in computer science, earning his Engineer in Computer Science degree from the University of Batna, Algeria, in 1997. His passion for the field led him to further his education in France, where he obtained a Diploma of Advanced Studies in computer science from the University of Evry-Val d’Essonne in 2001. He continued his academic pursuits by completing a PhD in Computer Science at the University of Denis Diderot Paris 7 in 2007, with a focus on multimedia document management and information retrieval in collaborative systems.
Professional Endeavors
Prof. Guezouli’s career spans over 15 years, with significant roles in both academia and industry. He has served as a researcher teacher at the Higher National School of Renewable Energy, Environment & Sustainable Development in Algeria since 2020. His teaching includes courses in Artificial Intelligence, Machine Learning, Deep Learning, and Databases, among others. Prior to this, from 2009 to 2020, he was a faculty member at University of Batna 2, where he contributed to various advanced courses such as Textual Information Retrieval, Object-Oriented Databases, and Advanced Algorithms. Additionally, he has been involved in research projects, such as the CNEPRU project on indexing and content search of semi-structured documents.
Prof. Guezouli also worked in the private sector, gaining practical experience in software development and engineering roles at Uti-GROUP and AdVestigo in Paris, where he contributed to projects in C++, JAVA, and JNI.
Contributions and Research Focus
Prof. Guezouli’s research interests focus on multimedia document management, information retrieval, and artificial intelligence. His PhD thesis, conducted in collaboration with AdVestigo, explored multimedia document management and information retrieval in collaborative systems. His current research includes projects on machine learning, deep learning, and graph theory, with an emphasis on their applications in renewable energy and sustainable development.
Impact and Influence
As a member of the Scientific Committee at both the Higher National School of Renewable Energy, Environment & Sustainable Development and the University of Batna 2, Prof. Guezouli has significantly influenced the academic landscape in Algeria. His contributions to teaching, research, and curriculum development have shaped the next generation of engineers and researchers in the fields of computer science and renewable energy.
Academic Cites
Prof. Guezouli has contributed to a range of research publications in the fields of information retrieval, machine learning, and database systems. His academic work is well-regarded in the research community, and he has been cited in numerous studies related to collaborative systems and data management.
Technical Skills
- C++, JAVA, and Python
- MySQL and J2EE
- Visual Studio, Eclipse, and WildFly
- HTML5, CSS3, and PHP He is proficient in linking C++ and JAVA for enhanced development, and he has extensive experience with databases and software engineering.
Teaching Experience
Prof. Guezouli has taught a wide range of courses at both the undergraduate and graduate levels. His courses include Introduction to Artificial Intelligence, Machine Learning, Deep Learning, and Graph Theory. He has supervised numerous undergraduate, master’s, PhD, and engineering students, helping to shape the future of computer science education in Algeria. His teaching approach emphasizes practical applications of theoretical concepts, preparing students for real-world challenges.
Legacy and Future Contributions
Prof. Guezouli’s contributions to computer science education and research in Algeria have left a lasting impact. As a full professor and qualified research director, his legacy continues to inspire future generations of students and researchers. Looking ahead, Prof. Guezouli plans to further advance the integration of artificial intelligence and machine learning in renewable energy systems, ensuring a sustainable future through technological innovation.
Publications
SES-ReNet: Lightweight deep learning model for human detection in hazy weather conditions
- Author: Bouafia, Y., Allili, M.S., Hebbache, L., Guezouli, L.
- Journal: Signal Processing: Image Communication
- Year: 2025
Human Detection in Clear and Hazy Weather Based on Transfer Learning With Improved INRIA Dataset Annotation
- Author: Bouafia, Y., Guezouli, L., Lakhlef, H.
- Journal: International Journal of Computing and Digital Systems
- Year: 2024
Two-step text detection framework in natural scenes based on Pseudo-Zernike moments and CNN
- Author: Larbi, G.
- Journal: Multimedia Tools and Applications
- Year: 2023
Human Detection in Surveillance Videos Based on Fine-Tuned MobileNetV2 for Effective Human Classification
- Author: Bouafia, Y., Guezouli, L., Lakhlef, H.
- Journal: Iranian Journal of Science and Technology – Transactions of Electrical Engineering
- Year: 2022
Reading signboards for the visually impaired using Pseudo-Zernike Moments
- Author: Guezouli, L.
- Journal: Advances in Engineering Software
- Year: 2022