Mr. Kamel-Boudjit-Artificial Vision-Best Researcher Award
University of Siences & Technology Houari Boumedienne-Algeria
Author Profile
Early Academic Pursuits
Mr. Boudjit Kamel's academic journey began in Setif, Algeria, where he was born on January 26, 1975. He pursued his secondary education with a focus on "Nature and Life Sciences," culminating in the successful completion of the Baccalaureate of secondary studies. This early academic foundation laid the groundwork for his future achievements in the field of Electrical Engineering.
Professional Endeavors
Mr. Boudjit Kamel's commitment to academic excellence continued as he earned his degree in Electrical Engineering with a specialization in "Machine" in 2006 from the University of Science and Technology Houari Boumediene of Algiers. His dedication and scholarly pursuits were evident as he presented a thesis titled "Use of fuzzy logic in the thermal aging of EPDM," securing honors for his outstanding work.
Building on this success, he furthered his academic achievements by obtaining a Magister in Electronics with a focus on "Electro-energetic System" in 2008. His research project, "Synchronous Speed Control of Two DC Motors based on DSP," not only demonstrated his prowess in the field but also earned him honors.
Mr. Boudjit Kamel's academic journey reached its pinnacle with a Ph.D. in Electronics, specializing in "Electronics." The culmination of his research project on "Contribution to the Study of Multi-Motor Controls in Real Time" led to the award of his doctorate with a very honorable mention on February 17, 2019, at the National Polytechnic School ENP Algiers.
Contributions and Research Focus On Artificial Vision Award
Mr. Boudjit Kamel's impact on the field of Electronics extends beyond his academic achievements to significant contributions in research. His work is showcased through numerous scientific publications and conference presentations, reflecting a diverse range of topics such as human detection based on deep learning for real-time UAV applications, visual object tracking by quadrotor AR.Drone using artificial neural networks and fuzzy logic controller, and real-time digital control of multiple motors systems using DSP.
His research focus spans various aspects of control systems, automation, and artificial intelligence, with a particular emphasis on applications in robotics, UAVs, and electrical power grids. Boudjit Kamel's dedication to pushing the boundaries of knowledge is evident in the multitude of conferences he has attended and the papers he has presented globally.
Accolades and Recognition
Mr. Boudjit Kamel's academic and research endeavors have not gone unnoticed. His degrees, obtained with honors, and the very honorable mention for his Ph.D. underscore the recognition of his exceptional contributions to the field. Furthermore, his participation in international conferences and publication of research papers in renowned journals highlight his recognition within the global scientific community.
Impact and Influence
Mr. Boudjit Kamel's impact is evident in the diverse array of topics he has explored and the innovative solutions he has proposed. From real-time object tracking using quadrotors to the implementation of navigation and autonomous visual tracking, his work has advanced the understanding and application of control systems in various domains.
Legacy and Future Contributions
As a respected figure in the academic and research community, Mr. Boudjit Kamel has already established a legacy of excellence. His future contributions hold the promise of further advancements in the realms of control systems, automation, and artificial intelligence. By inspiring future generations and continuing to push the boundaries of knowledge, Boudjit Kamel's legacy is poised to endure, leaving an indelible mark on the field of Electronics.
Citations
- Citations 193
- h-index 7
- i10-index 5
Notable Publication
- Human detection based on deep learning YOLO-v2 for real-time UAV applications
- Contribution à l'étude des commandes multi-moteurs en temps réel
- ANN design and implementation for real-time object tracking using quadrotor AR. Drone 2.0
- Detection and target tracking with a quadrotor using fuzzy logic
- Detection of high impedance faults in electrical power network