S M Masfequier Rahman Swapno – Medical Diagonosis – Best Researcher Award 

Published on by AMO Physics

Mr. S M Masfequier Rahman Swapno - Medical Diagonosis - Best Researcher Award 

Centre for AI and Digital Health Technology Lab, the University of Queensland (UQ) - Bangladesh 

Author Profile

Scopus

🎓 Early Academic Pursuits

Mr. S. M. Masfequier Rahman Swapno began his academic journey with a strong foundation in Computer Science and Engineering (CSE) at the Bangladesh University of Business and Technology (BUBT), where he earned his B.Sc. degree with a commendable CGPA of 3.71/4.00. His academic curiosity led him to explore advanced computational methodologies, culminating in his thesis titled "A Reinforcement Learning Approach to Adaptive Traffic Signal Management," supervised by Md. Shahiduzzaman. This research laid the groundwork for his later endeavors in artificial intelligence, deep learning, and medical imaging technologies.

💼 Professional Endeavors

Mr. Swapno has gained substantial professional experience in artificial intelligence and medical diagnostics, working in prestigious research labs and collaborating with international scholars. He is currently affiliated with the AI and Digital Health Technology Lab at The University of Queensland (UQ), Australia, under the supervision of Dr. Mohammad Ali Moni. Previously, he contributed to the Advanced Machine Intelligence Research Lab in Dhaka, Bangladesh, under the guidance of Dr. Muhammad Firoz Mridha. His work has also led him to collaborate with esteemed professors from Lebanon, Bangladesh, and India on groundbreaking machine learning and deep learning projects.

🌍 Impact and Influence

Mr. Swapno's research has made a profound impact in the fields of machine learning and medical diagnosis. His contributions in artificial intelligence-powered medical imaging have paved the way for more efficient, accurate, and explainable AI models in healthcare. His expertise has influenced researchers and practitioners globally, especially in the areas of brain tumor detection, cancer diagnosis, and disease classification.

His involvement in conferences, such as the IEEE International Conference on Computing and Machine Intelligence (ICMI) 2024, has further amplified his influence. His research on "Performance Improvements of Machine Learning-Based Crime Prediction in Bangladesh" and "A Novel Machine Learning Approach for Fast and Efficient Detection of Mango Leaf Diseases" have been recognized on an international scale.

🏆Academic Cites

Mr. Swapno's publications are widely cited in leading Q1 journals, demonstrating the relevance of his research. His papers in Nature Scientific Reports, IEEE Transactions on Image Processing, and Elsevier’s Medical Image Analysis have collectively accumulated numerous citations, solidifying his position as a rising researcher in AI-driven medical diagnosis.

🌟 Legacy and Future Contributions

Mr. Swapno is committed to advancing the field of medical diagnosis through artificial intelligence. His future contributions will focus on developing hybrid deep learning models for precise and rapid medical imaging solutions. His upcoming work, including "A Novel Ensemble Transformer Model for Fast and Accurate Depression Detection and Severity Analysis with Explainable AI", promises to revolutionize mental health diagnosis.

By continuing to collaborate with leading global researchers, Mr. Swapno aims to push the boundaries of AI-driven medical diagnosis and healthcare technology. His research will contribute to improving patient care, reducing diagnostic errors, and making AI-based medical solutions more accessible worldwide.

Medical Diagnosis

Mr. Swapno’s pioneering work in medical diagnosis has significantly enhanced AI-driven healthcare solutions. His innovative research in medical diagnosis focuses on developing deep learning-based models for brain tumor detection, cancer diagnosis, and sleep disorder classification. With continuous advancements in medical diagnosis, his contributions will shape the future of AI applications in healthcare.

📝Notable Publication

📝Accelerated and precise skin cancer detection through an enhanced machine learning pipeline for improved diagnostic accuracy

Authors: S.M. Masfequier Rahman Swapno, S.M. Nuruzzaman Nobel, P.K. Meena, J. Bahadur, A. Appaji

Journal: Results in Engineering

Year: 2025

Citations: 0

Samiah Shahid – Medical Physics – Best Researcher Award 

Published on by AMO Physics

Assoc. Prof. Dr. Samiah Shahid - Medical Physics - Best Researcher Award 

University of Lahore - Pakistan 

Author Profile

Scopus

Orcid

🎓 Early Academic Pursuits

Dr. Samiah Shahid’s academic journey began with her foundational education in the sciences, earning a Secondary School Certificate and Higher Secondary School Certificate in pre-medical disciplines from B.I.S.E., Multan, Pakistan. Her passion for biochemistry led her to pursue a B.Sc. in Medical Lab Technology at Sheikh Zayed Medical Complex, Lahore, where she excelled academically, receiving the highest marks in Clinical Pathology and Serology. She furthered her studies with an M.Sc. in Biochemistry at the University of Agriculture Faisalabad, achieving a gold medal and a merit scholarship for her outstanding performance. Her research explored the biochemical and antimicrobial activity of Allium sativum. Dr. Shahid’s academic achievements culminated in a Ph.D. in Biochemistry from the University of the Punjab, Lahore, with her thesis on plasma microRNA profiling in Acute Lymphoblastic Leukemia.

💼 Professional Endeavors

Dr. Shahid’s professional career is marked by a series of impactful roles in academia and research. Currently serving as Deputy Director at the Research Centre for Health Sciences (RCHS) and Associate Professor at the Institute of Molecular Biology and Biotechnology (IMBB) at The University of Lahore, she has consistently contributed to advancing biomedical sciences. Her earlier roles include Assistant Professor at IMBB, Research Supervisor at Lab Genetix, and Senior Lecturer at Rashid Latif Medical College and FMH College of Medicine & Dentistry. Additionally, her tenure as a Medical Technologist at Shaukat Khanum Memorial Cancer Hospital reflects her strong grounding in clinical and applied medical sciences.

🔬 Contributions and Research Focus

Dr. Shahid’s research focuses on addressing critical global health issues through innovative approaches. Her interests include cancer research, personalized health, microRNA expression profiling for early cancer diagnosis, next-generation sequencing of cancer hotspot gene panels, and the development of nanostructures for targeted drug delivery. Her work integrates advanced technologies such as Medical Physics to enhance diagnostic accuracy and therapeutic outcomes. With over 50 publications in high-impact journals and an h-index of 18, her contributions have significantly advanced the fields of molecular biology and biochemistry.

🌍 Impact and Influence

Dr. Shahid’s influence in the scientific community is evidenced by her substantial research output, with over 1800 cumulative impact factors and 3,526 citations. She has mentored 22 research students, including Ph.D. and M.Phil. scholars, and continues to supervise a diverse cohort of students. Her work in Medical Physics, particularly in nanostructures and next-generation sequencing, has contributed to breakthroughs in cancer research and clinical genetics, shaping the future of personalized medicine.

🏆Academic Cites

Dr. Shahid’s research has been widely cited in the academic community, demonstrating the broad impact of her work. Her papers on microRNA profiling and next-generation sequencing have provided foundational insights for early cancer diagnosis and treatment. Her extensive publication record underscores her commitment to advancing Medical Physics and its applications in healthcare.

🌟 Legacy and Future Contributions

Dr. Shahid’s legacy is defined by her dedication to global health and innovation in biomedical sciences. Her ongoing research on tropical diseases, targeted drug delivery, and cancer diagnostics promises to yield transformative results. As an active member of prestigious organizations such as the Royal Society of Tropical Medicine and Hygiene, she continues to influence the direction of healthcare research. Through her editorial roles and participation in advisory boards, Dr. Shahid is poised to leave a lasting impact on the field of Medical Physics and global health.

🏆Awards and Recognition

Dr. Shahid’s achievements have been recognized through numerous awards, including the Patent Registration Award and Research Productivity Awards from The University of Lahore. She has also received the Phenomenal Women Award and a gold medal for her academic excellence. These accolades highlight her contributions to scientific innovation and education.

📝Editorial and Membership Roles 

Dr. Shahid actively contributes to the academic community as a co-editor for “Frontiers in Medicine” and a member of the advisory board for “Current Trends in Omics.” Her memberships in various professional bodies and committees further demonstrate her influence in shaping the future of health sciences research.

Notable Publication

📝Integrative Bioinformatic Analysis to Identify Potential Phytochemical Candidates for Glioblastoma

Authors: Usmani Rana, H.M., Nisar, H., Prajapati, J., Javaid, A., Nisar, W.

Journal: Heliyon

Year: 2024

Citations: 0

📝Global, Regional, and National Burden of HIV/AIDS, 1990–2021, and Forecasts to 2050, for 204 Countries and Territories: The Global Burden of Disease Study 2021

Authors: Carter, A., Zhang, M., Tram, K.H., Murray, C.J.L., Kyu, H.

Journal: The Lancet HIV

Year: 2024

Citations: 0

📝Aloe-Inspired Eco-Friendly Synthesis of Ag/ZnO Heterostructures: Boosting Photocatalytic Potential

Authors: Ansar, N., Shahid, W., Irshad, M.A., Ullah, S., Zaki, M.E.A.

Journal: Scientific Reports

Year: 2024

Citations: 2

📝Modulation of miR-205 Expression Using a Cheiranthus cheiri Phyto-Nano Hybrid as a Potential Therapeutic Agent Against Breast Cancer

Authors: Razzaq, F., Shahid, S., Shahid, W.

Journal: RSC Advances

Year: 2024

Citations: 0

📝Global, Regional, and National Stillbirths at 20 Weeks' Gestation or Longer in 204 Countries and Territories, 1990–2021: Findings from the Global Burden of Disease Study 2021

Authors: Comfort, H., McHugh, T.A., Schumacher, A.E., Dandona, R., Kassebaum, N.J.

Journal: The Lancet

Year: 2024

Citations: 1

📝Forecasting the Effects of Smoking Prevalence Scenarios on Years of Life Lost and Life Expectancy from 2022 to 2050: A Systematic Analysis for the Global Burden of Disease Study 2021

Authors: Bryazka, D., Reitsma, M.B., Abate, Y.H., Vollset, S.E., Gakidou, E.

Journal: The Lancet Public Health

Year: 2024

Citations: 0