Syed Muhammad Qaim | Nuclear Data | Best Researcher Award

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Prof Dr. Syed Muhammad Qaim | Nuclear Data | Best Researcher Award

Forschungszentrum Jรผlich GmbH (FZJ)/Institute of Neuroscience and Medicine: INM-5 Nuclear Chemistry | Germany

PUBLICATION PROFILE

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Prof Dr. Syed Muhammad Qaimโšก๐ŸŒ

๐Ÿ‘จโ€๐Ÿ”ฌ Summary

Prof. Dr. Syed M. Qaim, a renowned scientist from Jรผlich, Germany, has over 60 years of experience in radionuclide research. His pioneering work in the development of technologies for SPECT and PET has revolutionized nuclear medicine. He is credited with the production of F-18, Cu-64, and I-124, and is the first to propose the theranostic approach in personalized medicine.

๐ŸŽ“ Education

Prof. Qaim obtained his Ph.D. from Liverpool University and conducted postdoctoral research at Birmingham University and Mainz University. He completed his Habilitation at the University of Cologne, leading to his appointment as a Professor in Nuclear Chemistry in 1997.

๐Ÿ’ผ Professional Experience

Prof. Qaim worked at the Forschungszentrum Jรผlich (FZJ), where he led a research group in applied nuclear chemistry. He contributed to nuclear reaction cross sections, the production of medical radionuclides, and the development of radionuclide technologies for medical applications.

๐Ÿ† Academic Citations

Prof. Qaim has 424 published articles, with 10,390 citations and an h-index of 52. His work in nuclear data and medical technology has been globally recognized, contributing significantly to the fields of diagnostic imaging and radiotherapy.

๐Ÿ”ฌ Technical Skills

Prof. Qaim is an expert in nuclear chemistry, radiopharmaceutical production, and cyclotron-based technologies. He specializes in the production of SPECT and PET radionuclides and has pioneered non-standard positron emitters like Cu-64, Y-86, and I-124 for targeted therapy.

๐Ÿง‘โ€๐Ÿซ Teaching Experience

Prof. Qaim introduced courses in nuclear data and radionuclide technology at the MSc level and contributed to the creation of the European Masterโ€™s Course in Nuclear Applications. He also lectures internationally, including at universities in Germany, Pakistan, Bangladesh, and Hungary.

๐Ÿ” Research Interests

Prof. Qaimโ€™s research focuses on medical radionuclides for diagnostics and therapy, particularly for SPECT and PET. His work on non-standard positron emitters such as Cu-64 and Y-86 and his introduction of the theranostic approach have been critical to the development of personalized medicine in nuclear medicine.

๐Ÿ“š Top Notes Publications

An overview of production routes of the non-standard positron emitter 86gY with emphasis on a comparative analysis of the 86Sr(p,n)- and 86Sr(d,2n)-reactions
  • Authors: Shuza M. Uddin, Ingo Spahn, M. Shamsuzzoha Basunia, Andrew S. Voyles, Stefan Spellerberg, Mazhar Hussain, Sรกndor Sudรกr, Lee A. Bernstein, Bernd Neumaier, Syed M. Qaim
  • Journal: Radiochimica Acta
  • Year: 2025
  • DOI: 10.1515/ract-2024-0375
Cross sections for the formation of Rb84m,g, Rb83, and Rb82m in Sr86(d,x) reactions up to deuteron energies of 49 MeV: Competition between ฮฑ -particle and multinucleon emission processes
  • Authors: M. S. Uddin, S. Sudรกr, M. S. Basunia, I. Spahn, A. S. Voyles, A. Hermanne, L. A. Bernstein, B. Neumaier, S. M. Qaim
  • Journal: Physical Review C
  • Year: 2024
  • DOI: 10.1103/PhysRevC.110.064608
New directions in nuclear data research for accelerator-based production of medical radionuclides
Resolution of a discrepancy in the ฮณ-ray emission probability from the ฮฒ decay of Ceg137
  • Authors: M. S. Basunia, J. T. Morrell, M. S. Uddin, A. S. Voyles, C. D. Nesaraja, L. A. Bernstein, E. Browne, M. J. Martin, S. M. Qaim
  • Journal: Physical Review C
  • Year: 2020
  • DOI: 10.1103/PhysRevC.101.064619
Theranostic radionuclides: recent advances in production methodologies
  • Authors: No specific authors listed
  • Journal: Journal of Radioanalytical and Nuclear Chemistry
  • Year: 2019
  • DOI: 10.1007/s10967-019-06797-y

 

Md. Sakib Bin Alam | Medical Imaging | Best Researcher Award

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Mr. Md. Sakib Bin Alam | Medical Imaging | Best Researcher Award

Mr. Md. Sakib Bin Alam at Pt staff University of Information Technology and Sciences, Bangladesh

๐Ÿ‘จโ€๐ŸŽ“ย  Professional Profiles

ย ๐ŸŒฑ Early Academic Pursuits

Md. Sakib Bin Alam began his academic journey with a B.Sc. in Computer Science and Engineering from the International Islamic University Chittagong (IIUC), where he achieved an impressive GPA of 3.95/4.0. This strong foundation set the stage for his advanced studies in Data Science and Artificial Intelligence at the Asian Institute of Technology (AIT) in Thailand, culminating in a thesis focused on sustainable agricultural decision-making through machine learning techniques.

๐Ÿข Professional Endeavors

Sakib has transitioned seamlessly into academia as an Assistant Professor at the University of Information Technology and Sciences (UITS) in Bangladesh, where he is not only delivering lectures but also supervising student research. His acting role as the Head of the IT department reflects his commitment to aligning educational practices with current technological trends and fostering research initiatives.

๐Ÿง‘โ€๐Ÿ”ฌ Contributions and Research Focus

Sakib’s research interests lie at the intersection of deep learning, data science, and healthcare. His work emphasizes the integration of advanced machine learning techniques to solve complex real-world problems, particularly in health informatics and environmental contexts. His thesis on sustainable agricultural decision-making showcases his dedication to creating impactful applications that improve quality of life.

๐Ÿ“ˆ Impact and Influence

His research output is substantial, with over 377 citations and an h-index of 6, underscoring his influence in the academic community. Notable publications in high-impact journals demonstrate his expertise in areas such as the Internet of Medical Things (IoMT) and deep learning modeling techniques, contributing significantly to the fields of AI and healthcare.

๐Ÿ“š Academic Citations

Sakib has authored several peer-reviewed articles and conference proceedings, including pivotal works in journals like Information Fusion and Artificial Intelligence Review. His growing citation count reflects the relevance and impact of his contributions to current research discussions.

๐Ÿ› ๏ธ Technical Skills

Sakib possesses a robust skill set in programming languages and tools essential for data science and machine learning. Proficient in Python, C/C++, and SQL, he leverages libraries such as Pandas, NumPy, and PyTorch to develop innovative solutions. His experience in creating databases and utilizing data visualization tools like Tableau enhances his analytical capabilities.

๐Ÿ‘ฉโ€๐Ÿซ Teaching Experience

With extensive teaching experience across various institutions, including his role as a Teaching Assistant at AIT and as an Instructor at the Asian University for Women, Sakib has impacted students from diverse backgrounds. He emphasizes critical thinking and problem-solving, equipping students with the skills needed for real-world challenges.

๐ŸŒŸ Legacy and Future Contributions

Looking ahead, Sakib aims to expand his research in AI applications within healthcare and environmental contexts. His dedication to creating sustainable solutions reflects a commitment to enhancing societal well-being. As he continues to mentor students and engage in collaborative research, his contributions are poised to leave a lasting legacy in both academia and industry.

 

๐Ÿ“– Top Noted Publicationsย 

VG-CALF: A vision-guided cross-attention and late-fusion network for radiology images in medical visual question answering

Authors: Aiman Lameesa, Chaklam Silpasuwanchai, Md. Sakib Bin Alam

Journal: Neurocomputing

Year: 2024

Role of metaheuristic algorithms in healthcare: a comprehensive investigation across clinical diagnosis, medical imaging, operations management, and public health

Authors: Aiman Lameesa, Mahfara Hoque, Md. Sakib Bin Alam, Shams Forruque Ahmed, Amir H Gandomi

Journal: Journal of Computational Design and Engineering

Year: 2024

Towards a secure 5G-enabled Internet of Things: A survey on requirements, privacy, security, challenges, and opportunities

Authors: Md. Sakib Bin Alam

Journal: IEEE Access

Year: 2024

Deep learning modelling techniques: current progress, applications, advantages, and challenges

Authors: Shams F. Ahmed, Md. Sakib Bin Alam, et al.

Journal: Artificial Intelligence Review

Year: 2023

Industrial Internet of Things enabled technologies, challenges, and future directions

Authors: Shams F. Ahmed, Md. Sakib Bin Alam, et al.

Journal: Computers and Electrical Engineering

Year: 2023

Bank Deposit Prediction Using Ensemble Learning

Authors: Md. Sakib Bin Alam

Journal: Artificial Intelligence Evolution

Year: 2021

Birth Mode Prediction Using Bagging Ensemble Classifier: A Case Study of Bangladesh

Authors: Md. Sakib Bin Alam

Journal: International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)

Year: 2021