TBA

 

Prof. Dr. Mohd Zulfaezal Che Azemin, International Islamic University Malaysia, Malaysia

Dr. Mohd Zulfaezal Che Azemin is committed to improving healthcare through research in medical image processing. He holds a Master's degree from Monash University and a Ph.D. from RMIT University, with a focus on using retinal images to help predict stroke risk—an area where he has built a strong reputation.
At the Kulliyyah of Allied Health Sciences, Dr. Zul combines theory with hands-on practice in courses such as optics, health informatics, digital image processing, and AI in medical imaging. He encourages innovation and critical thinking among his students.
His research efforts have earned recognition for excellence and innovation, including support through initiatives like the Prototype Research Grant Scheme and the Industry Matching Programme. These collaborations highlight the practical value of his work beyond academia.
Dr. Zul actively collaborates with researchers from countries including Japan, Australia, China, Singapore, and Palestine, broadening the scope and impact of his studies. He has published in respected journals such as IEEE Transactions on Medical Imaging, Neurology, Neurobiology of Aging, Investigative Ophthalmology & Visual Science, Experimental Eye Research, and Fractal and Fractional—reflecting his contributions to medical imaging, neurology, and ophthalmology.
Through teamwork, persistence, and a strong commitment to global collaboration, Dr. Zul continues to make meaningful contributions to healthcare technology and research.

 

Prof. Mohamed Bahaj, University Hassan 1st Faculty of Sciences & Technologies Settat Morocco, Morocco

Prof. Mohamed Bahaj is a Full Professor in the Department of Mathematics and Computer Sciences at the Faculty of Sciences & Technologies, Hassan 1st University, Settat, Morocco. He heads the "Ethical AI and Digital Innovation (EADI)" research team within the university's Artificial Intelligence Research and Applications Laboratory.
 He has overseen B.Sc. programs in Computer Science and Industrial Management, as well as M.Sc. in Mechanical Engineering and Scientific Computing. Recognized as a distinguished expert at the National Center for Scientific and Technical Research (NCSTR) and Mohammed VI Polytechnic University (UM6P), Ben Guerir, Morocco. He has mentored numerous young researchers, fostering their successful careers. Prof. Bahaj has led multiple Ph.D. programs and competitive research projects in fields such as Scientific Computing, Deep Learning, Big Data, Open Data, Intelligent Systems, Software Engineering, E-Learning, Business Intelligence, Semantic Mining, Social/Mobile Learning, Knowledge Extraction, Human-Computer Interaction (HCI), and Artificial Intelligence.
He has published over 136 peer-reviewed articles, with research interests spanning Artificial Intelligence, HCI, Information Systems, Deep Learning, Natural Language Processing, Business Intelligence, Big Data Analysis, Intelligent Systems, Ontologies Engineering, and Scientific Computing. He has served as a reviewer for prestigious Elsevier journals, including Expert Systems with Applications (105 reviews) and Knowledge-Based Systems (50 reviews),  Information Sciences (38 reviews), Applied Soft Computing (18), Franklin Open, Heliyon, Engineering Applications of Artificial Intelligence and has chaired numerous Scopus- and Web of Science-indexed international conferences. He actively participates in workshops, seminars, and discussion forums to promote academic and research advancements in software and technology.