Dr. Md. Rajibul Islam | High energy physics | Best Researcher Award

Research Fellow at The Hong Kong Polytechnic University | Hong Kong

Md. Rajibul Islam is a distinguished Research Fellow in Photonics at The Hong Kong Polytechnic University. With over a decade of academic and research excellence, his expertise bridges the domains of photonics, optical sensors, and AI-driven biomedical solutions. Known for his interdisciplinary innovation, he holds a Ph.D. in Photonics Engineering, a Master’s in IT, and a Bachelor’s in Computer Applications. His scientific contributions are recognized globally through patents, international awards, and Q1 journal publications. He continues to champion healthcare technology innovation through cutting-edge research and collaborative ventures.

👨‍🎓Profile

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📚 Early Academic Pursuits

Md. Rajibul Islam began his academic journey with a Bachelor of Computer Applications from IGNOU, India, laying a foundation in computing. His early interest in secure systems led him to pursue a Master of Science (by Research) in IT at Multimedia University (MMU), Malaysia, where he focused on fingerprint identification and verification technologies. Driven by a passion for physics and photonics, he earned a Ph.D. in Photonics Engineering from the University of Malaya, researching fiber Bragg grating-based Fabry-Perot resonators. His academic trajectory reflects a seamless blend of computational and physical sciences, underpinning his interdisciplinary research focus.

💼 Professional Endeavors 

Dr. Islam has held progressive academic positions, including Assistant Professor, Head of Department, and Associate Professor in Bangladesh’s top institutions such as UAP and BUBT. Internationally, he is engaged as a Research Fellow at The Hong Kong Polytechnic University, where he leads cutting-edge photonic sensor research for healthcare. His professional roles extend to industry consulting, software engineering, and research assistance across Malaysia and Ireland. These roles have shaped his ability to bridge theory and application, manage multidisciplinary teams, and contribute to the global research ecosystem. He consistently integrates teaching, innovation, and leadership in every position held.

🔬 Contributions and Research Focus

Dr. Islam’s core research revolves around fiber optic sensors, particularly fiber Bragg gratings (FBGs) and photonic devices for biomedical applications. He combines AI and photonics, enabling smart diagnostics and disease monitoring through enhanced sensor data analysis. His patent on few-mode fiber grating sensors showcases innovation in high-sensitivity sensing technologies. He has also contributed to vocal fold disorder detection, leaf disease identification, and high-speed optical communication systems. His work demonstrates versatility, spanning machine learning, image processing, and optoelectronics. Dr. Islam’s research is rooted in real-world relevance, bridging medical technology and photonics engineering.

🌍 Impact and Influence

Dr. Islam’s research has a measurable global impact, evidenced by peer-reviewed journal publications, international presentations, and a diverse citation base. His work is featured in Q1 and Q2 journals including Scientific Reports and Infrared Physics and Technology, ensuring high visibility within the scientific community. His contributions to biomedical photonics, AI-based diagnosis, and optical sensor design are used as reference frameworks by scholars and engineers globally. As a keynote speaker, panelist, and reviewer for top journals, he helps shape the scientific discourse. His interdisciplinary methods inspire research across AI, optics, and healthcare technologies.

📖 Academic Cites

Though citation metrics such as h-index are not provided here, Dr. Islam’s inclusion in SCOPUS-indexed journals, such as Scientific Reports, with an impact factor of 3.9, reflects research quality and relevance. His co-authored and first-authored works on deep learning architectures, fiber optic systems, and disorder classification are gaining academic traction. Cited in AI, photonics, and biomedical engineering domains, his papers contribute to emerging research trends. He has collaborated with international authors across Asia, Europe, and the Middle East, enhancing the citation diversity and reach of his work. His publications are considered valuable resources for ongoing applied research.

🧪 Research Skills

Dr. Islam possesses advanced experimental and computational skills across photonics, sensor design, and AI-based diagnostics. Technically adept in fiber Bragg grating fabrication, optical spectrum analysis, laser-based sensor development, and cleanroom processes, he couples this with Python, MATLAB, and COMSOL Multiphysics for simulation and analysis. He also develops AI pipelines using TensorFlow and PyTorch, particularly in image-based disease classification and signal processing. His skill in lab automation and data acquisition systems enhances experimental efficiency. Dr. Islam bridges engineering precision with computational intelligence, a rare blend that elevates the scope and accuracy of biomedical research.

👨‍🏫 Teaching Experience

With more than a decade in academia, Dr. Islam has taught both undergraduate and postgraduate courses in Data Communication, AI, Software Engineering, Database Systems, and Computer Architecture. His roles at UAP, BUBT, and North South University demonstrate a strong pedagogical presence. He fosters interactive learning and encourages research mentorship, having supervised numerous student theses in AI and medical applications. His curriculum design integrates latest industry trends and research breakthroughs, making learning application-focused. He leverages his international exposure to deliver globally relevant education, nurturing future innovators in computing and photonics.

🏅 Awards and Honors 

Dr. Islam is a recipient of prestigious accolades, including full sponsorships for events like the ACM-ICPC World Finals, ICTP Winter School, and PECIPTA Innovation Fair. His Bronze Medal for Few-Mode Fiber Sensor and Best Paper Award at ISCC-2011 highlight his technical ingenuity. Featured in Marquis Who’s Who and Stanford Who’s Who, he has earned national and international recognition. His multiple fellowships and research grants, including from Erasmus Mundus and IEERD, underscore sustained academic excellence. These honors reflect his research impact, scholarly leadership, and commitment to technological advancement in healthcare and photonics.

🌟 Legacy and Future Contributions

Dr. Islam is actively shaping a new frontier in biomedical sensing, where AI meets photonics. His legacy lies in developing cost-effective, high-accuracy optical sensors for early disease diagnosis and health monitoring. Looking ahead, he plans to expand collaborations across Asia and Europe, commercialize patented technologies, and establish AI-integrated photonics labs in developing countries. By mentoring future scientists, contributing to policy-making panels, and authoring advanced curricula, he is fostering a new generation of innovators and ethical researchers. His future contributions will undoubtedly influence medical technologies, academic reforms, and international research partnerships for decades to come.

Publications Top Notes

An Enhanced LSTM Approach for Detecting IoT-Based DDoS Attacks Using Honeypot Data

  • Authors: Arnob, A.K.B.; Mridha, M.F.; Safran, M.; Amiruzzaman, M.; Islam, M.R.
    Journal: International Journal of Computational Intelligence Systems
    Year: 2025

Low-Profile Reflective Metasurface for Broadband OAM Beam Generation at Ka-Band

  • Authors: Md. Rajibul Islam (Corresponding Author)
    Journal: Infrared Physics & Technology
    Year: 2025

FallVision: A Benchmark Video Dataset for Fall Detection

  • Authors: Nakiba Nuren Rahman; Abu Bakar Siddique Mahi; Durjoy Mistry; Shah Murtaza Rashid Al Masud; Aloke Kumar Saha; Rashik Rahman; Md. Rajibul Islam
    Journal: Data in Brief
    Year: 2025

An Evaluation of EVM-Compatible Blockchain Platforms for Trade Finance

  • Authors: Asif Bhat; Rizal Mohd Nor; Md Amiruzzaman; Md. Rajibul Islam; Munleef Quadir
    Journal: Journal of Advanced Research Design
    Year: 2025

A Machine Learning Approach for Vocal Fold Segmentation and Disorder Classification Based on Ensemble Method

  • Authors: Nobel, S.M.N.; Swapno, S.M.M.R.; Islam, M.R.; Safran, M.; Alfarhood, S.; Mridha, M.F.
    Journal: Scientific Reports
    Year: 2024

 

 

Md. Rajibul Islam | High energy physics | Best Researcher Award