Muhammad Ayoub
Medical Ai | ClinicalNLP | Medical Imaging | Deep Learning
Ayoub is an AI researcher currently pursuing his Ph.D. in Computer Science, specializing in multimodel Ai and Medical Ai at Shanghai Jiaotong University. His work has led to novel deep learning applications in healthcare, particularly for treatment management and brain aging. He is the author of the book “A Stroke Guide: Understanding, Factors, and Lifestyle Management”. He serves as Young Emerging Editor for the Journal of Medicine Advances, Young Editor for Biomedical Engineering Communications, and Editor for the Journal of Psychological Medicine and Deep Science Publishing. He is also a reviewer for leading journals and conferences including the IEEE Journal of Biomedical and Health Informatics and Computers in Biology and Medicine, Biomedical Signal Processing and Control, Information Processing and Maangement. With over a dozen peer-reviewed publications in top-tier journals, around 400 citations, an h-index of 15, and several academic awards—including first prize at Technovanza—Ayoub continues to contribute actively to the advancement of AI in biomedical research.
Conference: 2025 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2025)
Status: Accepted Paper
Conference: 2025 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2025)
Status: Accepted as Short Paper
Journal: Precision Radiation Oncology
Role: Guest Editor
Call for Papers: Precision Radiation Oncology
Institute: School of Computer Science and Engineering, Shanghai Jiao Tong University, China
QS Wordlwide Ranking =47Supervisor: Tenured Prof. Dr. Hai Zhao
Medium: English
Major Courses: AI, ML, DL, Medical Image Analysis, NLP
Institute: School of Computer Science & Engineering, Central South University, China
Supervisor: Prof. Dr. Liao Zhifang
Medium: English
Major Courses: AI, ML, DL, Medical Image Analysis
Thesis: A Hybrid Vision-Transformer Approach for Carotid Artery Plaque and Brain Stroke Analysis
Institute: NCBA&E, Lahore, Pakistan
Supervisor: Prof. Dr. Muhammad Akmal Shahbaz and Dr. Shabir Hussain
Courses: Data Structures, Linear Algebra, DBMS, AI, ML
Final Year Project: Machine Learning Approach for new Moringa oleifera verities prediction
Institute: NCBA&E, Rahim Yar Khan, Pakistan
Supervisor: Prof. Dr. Muhammad Akmal Shahbaz and Dr. Shabir Hussain
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