Prof. Atef Ismail | Medical Physics | Best Researcher Award

Published on by Academic Awards

Prof. Atef Ismail | Medical Physics | Best Researcher Award

Al Azhar University | Egypt

Prof. Atef Ismail is an Associate Professor of Theoretical Nuclear Physics at Al Azhar University, Egypt, with an outstanding academic and research background. He holds dual PhDs, one from Al Azhar University and another from Universiti Teknologi PETRONAS, Malaysia, with expertise in light heavy ion structures and the application of folding models to halo nuclei scatterings. His international research experience includes fellowships and postdoctoral roles at UTP Malaysia, as well as work as a junior scientist at JINR, Russia, where he specialized in grid computing technology and contributed to high-energy physics projects in collaboration with CERN. Prof. Ismail leads a research group dedicated to innovative models of nucleon interactions, with applications in diagnostics and cancer therapeutics, supported by competitive government grants. He has authored 14 publications with 34 citations and an h-index of 3. Alongside his computational expertise, he is committed to mentoring, delivering public lectures, and fostering global collaborations.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

Kim, W., Ismail, A., Anderson, N. L., Atekwana, E. A., & Buccellato, A. (2003). Non-destructive testing (NDT) for corrosion in bridge decks using GPR.

Kim, W., Ismail, A., Anderson, N. L., & Atekwana, E. A. (2003). Non-destructive testing (NDT) for corrosion in bridge decks using GPR. In Buccellato (Ed.)

Nahool, T. A., Ismail, A., Elshamndy, S. K., & Yasser, A. M. (2023). Comparison between some machine learning algorithms on predicting the spectra of quark–anti-quark bound states. International Journal of Modern Physics A, 38(15n16), 2350088.

Allosh, M., Abdelaal, M. S., Alshowaikh, F., & Ismail, A. (2023). Numerical solutions of a three-dimensional Schrödinger equation for a non-relativistic quark model. Applied Mathematics & Information Sciences, 17(2), 447–452.

Noorhana Yahya, M. G. A. M. A., Nyuk, C. M., Ismail, A. F., Hussain, N., & Amir, A. (2020). Inversion algorithm of fiber Bragg grating for nanofluid flooding monitoring. Sensors, 20(4), 1014.

Yafen Li | Medical Physics | Best Researcher Award

Published on by Academic Awards

Dr. Yafen Li | Medical Physics | Best Researcher Award

Dr. Yafen Li, University of Shanghai for Science and Technology, Shanghai, China

Dr. Yafen Li, PhD, is an Assistant Professor of Biomedical Engineering at the University of Shanghai for Science and Technology 🇨🇳. She specializes in artificial intelligence-based medical image processing, analysis, and medical physics 🖥️🩻. With a robust academic background and an impressive research portfolio, she has contributed extensively to advancements in AI-driven radiology and imaging technologies 📚🔬. Dr. Li’s work is recognized globally, and she actively participates in international research collaborations 🌎. Committed to academic excellence and innovation, she also teaches courses on medical image processing and intelligent systems 🎓.

Publication Profile

Orcid

Education 📚

Dr. Yafen Li earned her PhD in Pattern Recognition and Intelligent Systems from the University of Chinese Academy of Sciences/Shenzhen Institutes of Advanced Technology in 2021 🎓. She completed her Master’s degree in Biomedical Engineering from Chongqing Medical University in 2013 🎓, and her Bachelor’s degree in Biomedical Engineering from Southern Medical University in 2009 🏫. Her strong academic foundation has been key to her expertise in biomedical imaging, AI, and intelligent healthcare systems 🧠💻. Each educational milestone contributed to building her specialization in medical technology and research excellence 🧬.

Professional Experience 🧑‍🏫

Since November 2021, Dr. Yafen Li has served as an Assistant Professor at the University of Shanghai for Science and Technology 🏢. Her work focuses on artificial intelligence-driven medical image analysis and medical physics research 🤖🧪. She has also contributed through teaching, offering courses such as Medical Image Processing and Python Basics 🖥️📚. Prior to this, she engaged in significant research activities during her doctoral studies, where she honed her expertise in medical imaging and AI applications ⚙️🧠. Dr. Li’s professional journey is marked by a blend of academic leadership and cutting-edge research 📈.

Awards and Honors 🏆

Dr. Yafen Li received the Excellent Paper Award at the 2019 International Conference on Medical Imaging Physics and Engineering (ICMIPE) 🏅. Her scientific contributions have been recognized internationally, including her active participation in prestigious forums like ISMRM and AAPM conferences 🌟. Through her impactful publications and presentations, she has gained considerable acclaim in the biomedical engineering community 🔬🌐. Her awards highlight her commitment to innovation, research excellence, and academic leadership 🧠. Dr. Li’s consistent pursuit of high-impact work has earned her a strong reputation among peers and industry experts 🏆.

Research Focus 🔬

Dr. Yafen Li’s research centers on artificial intelligence-based medical image processing, MRI-CT image synthesis, and medical physics applications 🖥️🧪. She has developed deep learning models for imaging translation and enhancement in radiotherapy and diagnosis 🧠🖼️. Her work bridges the gap between AI and clinical radiology, aiming to improve imaging precision and treatment planning 🏥. Key themes of her research include transformer-based adversarial networks, deep convolutional methods, and MRI-only radiotherapy strategies 🤖📈. Dr. Li’s contributions significantly advance intelligent healthcare imaging technologies and AI-integrated diagnostic solutions globally 🌎.

Publication Top Notes

Comparison of Supervised and Unsupervised Deep Learning Methods for Medical Image Synthesis between Computed Tomography and Magnetic Resonance Images