Kamil Baderddine | Bioinformatics | Best Researcher Award

Published on by Research Data Analysis

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.

Profile Verified

Orcid | Scopus

🎓 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

Sherin Zafar | Machine Learning  | Women Researcher Award

Published on by Research Data Analysis

Dr. Sherin Zafar | Machine Learning  | Women Researcher Award

Jamia Hamdard | India

PUBLICATION PROFILE

Scopus

🌟 DR. SHERIN ZAFAR: ACADEMIC AND RESEARCH PIONEER 

👩‍🏫 INTRODUCTION

Dr. Sherin Zafar is an accomplished Assistant Professor in the Department of Computer Science and Engineering at the School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi. Joining the institution in 2015, she has made remarkable contributions to teaching, research, and faculty development. With expertise in network security, machine learning, and health informatics, Dr. Zafar continues to inspire both students and colleagues alike.

🎓 EARLY ACADEMIC PURSUITS

Dr. Zafar’s academic journey began with a Bachelor’s degree in Computer Engineering from Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Bhopal, followed by a Master’s degree in the same field. Her passion for optimizing network protocols led her to complete her Ph.D. at Manav Rachna International Institute of Research and Studies (MRIIRS) in 2015, where she focused on creating secure protocols for Mobile Ad-Hoc Networks (MANETs) through biometric authentication.

💼 PROFESSIONAL ENDEAVORS

Since joining Jamia Hamdard, Dr. Zafar has been dedicated to academic growth and research excellence. Her professional endeavors span the fields of artificial intelligence (AI), health informatics, and wireless networks. A regular participant in faculty development programs (FDP), workshops, and international conferences, Dr. Zafar stays at the forefront of technological advancements, demonstrating her commitment to personal and professional growth.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Zafar’s research interests are centered around applying AI and computational techniques to real-world problems, especially in health and security. Her work in e-health, including maternal health improvement through AI-based systems, and the development of secure network protocols, highlights her commitment to impactful research. She has also explored the application of machine learning in smart city technologies and water quality monitoring.

🌍 IMPACT AND INFLUENCE

Dr. Zafar has made a significant impact in the academic community through her publications and collaborative research. Her work in healthcare AI, optimization techniques, and network security has been widely recognized and cited by scholars and professionals worldwide. Her contributions have advanced both theoretical and practical aspects of computer science and engineering.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Zafar’s academic footprint includes high-quality research papers published in top-tier journals and international conference proceedings. Her studies, including works on AI in healthcare and photo captioning for visually impaired individuals, have been published in journals like Heliyon, Proceedings on Engineering Sciences, and Multimedia Tools and Applications. These works have been indexed in Scopus and Web of Science, contributing to the ongoing academic dialogue.

🏆 HONORS & AWARDS

Throughout her career, Dr. Zafar has received several honors in recognition of her contributions to teaching and research. These accolades showcase her dedication to enhancing the educational landscape and driving innovations in technology and healthcare.

🛠️ LEGACY AND FUTURE CONTRIBUTIONS

As Dr. Zafar continues her work at Jamia Hamdard, her legacy is one of inspiring innovation and fostering academic excellence. With a focus on AI, machine learning, and secure communications, her future research is poised to make lasting contributions to the fields of computer science and healthcare, inspiring future generations of researchers and professionals.

📜 FINAL NOTE

Dr. Sherin Zafar’s career is a testament to her passion for research and teaching. Through her groundbreaking research in AI, network security, and healthcare, Dr. Zafar has earned a well-deserved reputation as a leader in her field. As she continues her academic journey, her influence will undoubtedly shape the future of computer science and engineering, leaving a lasting legacy for years to come.

📚 TOP NOTES PUBLICATIONS 

Internet of things assisted deep learning enabled driver drowsiness monitoring and alert system using CNN-LSTM framework

Authors: S.P. Soman, Sibu Philip G., Senthil Kumar G., S.B. Nuthalapati, Suri Babu S., Zafar Sherin, K.M. Abubeker K.M.
Journal: Engineering Research Express
Year: 2024

Holistic Analysis and Development of a Pregnancy Risk Detection Framework: Unveiling Predictive Insights Beyond Random Forest

Authors: N. Irfan Neha, S. Zafar Sherin, I. Hussain Imran
Journal: SN Computer Science
Year: 2024

Correction to: A transformer based real-time photo captioning framework for visually impaired people with visual attention

Authors: A.K.M. Kunju Abubeker Kiliyanal Muhammed, S. Baskar S., S. Zafar Sherin, S. Rinesh S., A. Shafeena Karim A.
Journal: Multimedia Tools and Applications
Year: 2024

A transformer based real-time photo captioning framework for visually impaired people with visual attention

Authors: K.M. Abubeker K.M., S. Baskar S., S. Zafar Sherin, S. Rinesh S., A. Shafeena Karim A.
Journal: Multimedia Tools and Applications
Year: 2024

 Enhancing Heart Health Prediction with Natural Remedies Through Integration of Hybrid Deep Learning Models

Authors: L.M.S. Akoosh Lamiaa Mohammed Salem, F. Siddiqui Farheen, S. Zafar Sherin, S. Naaz Sameena, M.A. Afshar Alam
Journal: Journal of Natural Remedies
Year: 2024

Synergistic Precision: Integrating Artificial Intelligence and Bioactive Natural Products for Advanced Prediction of Maternal Mental Health During Pregnancy

Authors: N. Irfan Neha, S. Zafar Sherin, I. Hussain Imran
Journal: Journal of Natural Remedies
Year: 2024