Dr. Kamil Baderddine | Bioinformatics | Best Researcher Award
Dr. Kamil Baderddine | Optimization – Université de Technologie de Compiègne | Lebanon
Dr. Kamil Baderddine is a dedicated Artificial Intelligence expert with a proven ability to blend academic excellence and practical implementation. With extensive experience in teaching, research, and software development, he has consistently demonstrated his ability to inspire students and innovate in AI-driven technologies. His multidisciplinary approach spans neural networks, biomedical signal processing, big data optimization, and natural language processing. Passionate about shaping the next generation of AI professionals, Dr. Baderddine continues to make significant contributions in both academic and applied research contexts.
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🎓 Education & Experience
Dr. Baderddine earned his Ph.D. in Artificial Intelligence from Sorbonne University in France (2018–2022), following a Master’s degree in Computer Science and a Bachelor of Science in Communications Technologies from the Lebanese University in Saida. His professional journey spans both academia and industry. He has served as a lecturer at several institutions including Notre Dame University, Lebanese International University, Arab Open University, and Lebanese University, teaching courses such as Artificial Intelligence, Web Development, Advanced C++, Operating Systems, and Java Programming. In the industry, he worked as a Senior PHP Developer at Layout International (2007–2018) and currently serves as an AI Consultant for SAWA GROUP, where he develops AI-based applications and manages server environments using CentOS.
📜 Professional Development
Dr. Baderddine brings hands-on experience with a wide array of programming languages and platforms including Python, Java, PHP, C++, and JavaScript. He is proficient in both front-end and back-end development, server-side debugging, and database technologies like MySQL and SQL Server. His expertise extends to using APIs (REST, SOAP), and development tools such as Agile and Scrum. He is especially skilled in configuring Linux environments, applying neural networks and deep learning models, and leveraging big data for intelligent system design.
🔬 Research Focus
His research explores the intersection of Artificial Intelligence and healthcare, particularly in analyzing uterine activity during pregnancy and labor using graph theory and deep learning. He also focuses on optimizing big data search engines and developing machine learning models for Arabic resume parsing and job matching. His notable publications include works in IRBM and Studies in Systems, Decision and Control, addressing neural network-based classification, biomedical synchronization, and AI-powered data systems.
🏆 Honors & Awards
Dr. Baderddine holds a doctorate from the prestigious Sorbonne University and has published multiple peer-reviewed articles that contribute to advancements in AI and healthcare technology. He has been entrusted with academic responsibilities across top Lebanese institutions and recognized for his ability to connect innovative research with real-world applications. His scholarly and professional accomplishments position him as a rising leader in the field of Artificial Intelligence.
📚 Selected Publications
Title: Simulated uterine contractions: Graph theory and connectivity-based analysis of EHG signals
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Authors: Kamil Bader Eldine, Noujoud Nader, Mohamad Khalil, Catherine Marque
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Journal: Biomedical Engineering Advances
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Year: 2025
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Title: Optimizing Uterine Synchronization Analysis in Pregnancy and Labor Through Window Selection and Node Optimization
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Authors: Kamil Bader El Dine, Noujoud Nader, Mohamad Khalil, Catherine Marque
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Journal: IRBM
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Year: 2024
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Title: Uterine Synchronization Analysis During Pregnancy and Labor Using Graph Theory, Classification Based on Neural Network and Deep Learning
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Authors: K.B. El Dine, N. Nader, M. Khalil, C. Marque
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Journal: IRBM
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Year: 2022
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