Kamil Baderddine | Bioinformatics | Best Researcher Award

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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

    • Authors: Kamil Bader Eldine, Noujoud Nader, Mohamad Khalil, Catherine Marque

    • Journal: Biomedical Engineering Advances

    • Year: 2025

Title: Optimizing Uterine Synchronization Analysis in Pregnancy and Labor Through Window Selection and Node Optimization

    • Authors: Kamil Bader El Dine, Noujoud Nader, Mohamad Khalil, Catherine Marque

    • Journal: IRBM

    • Year: 2024

Title: Uterine Synchronization Analysis During Pregnancy and Labor Using Graph Theory, Classification Based on Neural Network and Deep Learning

    • Authors: K.B. El Dine, N. Nader, M. Khalil, C. Marque

    • Journal: IRBM

    • Year: 2022

Jianhong Hao | Predictive Analytics | Best Researcher Award

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Dr. Jianhong Hao | Predictive Analytics | Best Researcher Award

Doctorate at Honghui Hosipital, Xi’an Jiaotong University, China

👨‍🎓Professional Profiles

👨‍⚕️ Summary

Dr. Jianhong Hao is a Master of Anesthesia and a prominent researcher in perioperative care at Honghui Hospital, Xi’an Jiaotong University, China. His expertise lies in analyzing risk factors for perioperative complications and applying ultrasound technology for airway management. With over 9 SCI papers published in the last five years, his research focuses on improving patient outcomes, particularly in trauma and post-surgical settings.

🎓 Education

Dr. Hao completed his Master of Anesthesia at Xi’an Jiaotong University, where he developed a strong foundation in clinical anesthesia and perioperative medicine.

🏥 Professional Experience

Currently, Dr. Hao serves as a clinical specialist and researcher at Honghui Hospital. He specializes in risk factor analysis for perioperative complications and has made significant contributions to optimizing care for trauma and surgical patients.

📚 Academic Citations

Dr. Hao’s research is widely recognized in the scientific community. His publications in journals like Journal of Clinical Anesthesia and BMC Anesthesiology cover diverse topics such as postoperative pulmonary complications (PPCs) and the use of ultrasound in predicting respiratory issues in trauma patients.

💻 Technical Skills

Dr. Hao is skilled in utilizing ultrasound technology for airway management and perioperative care. He also specializes in statistical modeling, data analysis, and risk factor identification for various surgical complications, with an emphasis on predictive tools and clinical trials.

👩‍🏫 Teaching Experience

In addition to his clinical and research work, Dr. Hao is an educator at Xi’an Jiaotong University, where he mentors medical students and residents in anesthesia and perioperative management.

🔬 Research Interests

Dr. Hao’s research interests center around the identification of risk factors for perioperative complications, especially those involving trauma patients. His ongoing projects include developing risk stratification models based on lung ultrasound scores for traumatic lung injuries and optimizing care for patients with postoperative pulmonary complications.

🏅 Key Contributions

Dr. Hao has made pioneering contributions in the use of postoperative lung ultrasound scores to predict pulmonary complications in patients with blunt thoracic trauma. His work also includes developing models for early identification of risks in trauma patients and optimizing blood use in surgery

🤝 Collaborations

Dr. Hao collaborates with multidisciplinary teams at Honghui Hospital and is an active member of the Shaanxi Clinical Trial Research Society, contributing to ongoing clinical studies and evidence-based practices in anesthesia.