Amine Mansouri | Computer Vision | Best Researcher Award

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Mr Amine Mansouri | Computer Vision | Best Researcher Award

Mr Amine Mansouri, University of Burgundy, France

Amine Mansouri is a dedicated Ph.D. candidate in Instrumentation and Image Computing at SPIM Doctoral School, affiliated with the ImViA Research Laboratory, Université de Bourgogne. Supervised by Toufik Bakir, his research focuses on advancing computer vision and machine learning models for image recognition and signal processing. Amine’s expertise spans multiple disciplines, including electronics, control systems, and automation. He holds multiple degrees in these fields from both Université de Bourgogne and USTHB, Algeria. Throughout his academic journey, he has published several influential research papers in reputable journals and presented at international conferences. In addition to his research contributions, Amine has experience teaching advanced topics like medical imaging, multispectral imaging, and control systems to undergraduate and master’s students. His deep passion for machine learning and computer vision drives his ambition to contribute to technological innovations that enhance automation and intelligent systems.

Strengths For the Award

  1. Academic Excellence: Mansouri has consistently performed well academically, ranking at the top of his classes during his studies in France and Algeria.
  2. Research Contributions: His publications in high-impact journals, including works on human action recognition, deep learning applications, and machine vision, display expertise in a niche area of AI and image processing.
  3. Technical Skills: Proficiency in multiple programming languages and tools such as Python, C/C++, Matlab, and LabVIEW. He has practical experience in computer vision, machine learning, and instrumentation.
  4. Project Work: Demonstrated hands-on experience with various projects related to detection and tracking using advanced technologies such as YOLO-v3 and OpenCV, along with hardware implementation experience.
  5. Teaching and Mentorship: Extensive teaching experience at Université de Bourgogne, supervising engineering interns, and playing a vital role in academic jury responsibilities.
  6. Involvement in Conferences and Community Engagement: Active participation in international conferences, organization committees, and peer-review work enhances his reputation in the research community.

Areas for Improvement

  1. Broader Application of Research: Expanding the practical applications of his work beyond image processing, such as exploring interdisciplinary areas, might increase the impact of his research.
  2. Collaborations: Greater international collaborations or partnerships with industry could further enhance his research’s visibility and applicability.

Education 

Amine Mansouri pursued an extensive academic path that led to his Ph.D. in Instrumentation and Image Computing from Université de Bourgogne (2021-2024). His research, under the supervision of Toufik Bakir, focuses on advanced computer vision and machine learning models. Prior to this, Amine completed two master’s degrees: one in Image and Vision (2020-2021), where he ranked 3rd in a cohort of 12, and another in Electronics, Signal, and Image (EEA/TSI) (2019-2020), where he ranked 3rd out of 36 students. He also obtained a bachelor’s degree in Electronics from the same institution, achieving the highest rank (1st out of 30) in his class. Amine’s early education includes a master’s degree in Industrial Automation and Process (2017-2018) and a bachelor’s degree in Control Systems (2016-2017) from USTHB, Algeria. His consistent academic performance reflects a strong foundation in electronics, automation, and signal processing.

Experience 

Amine Mansouri brings a wealth of academic and research experience, particularly in the fields of computer vision and automation. He has been involved in numerous teaching roles at Université de Bourgogne, handling tutorials and practicals for modules like Medical Imaging, Multispectral Imaging, Control Systems, Signal Processing, and Electronics. In addition to teaching, Amine actively participates in research and conference activities, having served on organizing committees and as a reviewer for journals such as Elsevier’s Image and Vision Computing. He also contributes to student supervision, overseeing final-year engineering interns working on computer vision projects. Beyond his academic engagements, Amine has worked on innovative projects, including the design and hardware implementation of computer vision systems for human action recognition and concrete structure inspections. His expertise in both research and hands-on projects demonstrates a commitment to bridging theoretical knowledge with practical applications.

Research Focus 

Amine Mansouri’s research primarily revolves around the development of computer vision algorithms, machine learning models, and their applications in signal processing. His Ph.D. work at the Université de Bourgogne delves into improving human action recognition systems by integrating deep learning techniques with advanced image processing models. His recent projects include developing YOLO-v3 models for bird detection and tracking, skeleton-based action recognition using CNN-GCN models, and deep learning approaches for concrete structure inspection. Amine is particularly interested in fusing different data modalities, such as infrared and radar images, to enhance the accuracy of recognition systems. His research also extends into time series analysis, forecasting trends in financial markets using deep learning architectures. Through his publications, Amine explores the intersection of computer vision, deep learning, and signal processing, aiming to contribute to innovations that address real-world challenges in automation and intelligent systems.

Publication Top Notes

  • 🖼️ Human Action Recognition with Skeleton and Infrared Fusion Model – Journal of Image and Graphics, 2023
  • 🤖 Improved Semantic Guided Network for Skeleton-Based Action Recognition – Journal of Visual Communication and Image Representation, 2024
  • 💻 Design and Hardware Implementation of CNN-GCN Model for Skeleton-Based Human Action Recognition – IEEE CSCC Conference, Heraklion, 2024
  • 📊 A Contribution to Time Series Analysis and Forecasting Using Deep Learning Approaches – IEEE ICCAD Conference, Paris, 2024
  • 🏗️ Concrete Structure Inspection Based on Deep Learning Approaches from Visible and Radar Images – Sixteenth International Conference on Quality Control by Artificial Vision, 2023
  • 💸 Ethereum Cryptocurrency Entry Point and Trend Prediction using Bitcoin Correlation and Multiple Data Combination – International Journal of Advanced Computer Science and Applications, 2023

Conclusion

Amine Mansouri demonstrates remarkable research ability and commitment to academic excellence, making him well-suited for the Best Researcher Award. He excels in technical skills, academic teaching, and impactful research contributions. With slight improvements in broader application and collaborations, his work could achieve even greater influence in the field.