Prof. Dr. Mohd. Zulfaezal Bin Che Azemin

International Islamic University Malaysia (IIUM), Malaysia
“Clinician-Centric Healthcare Technology: From Everyday Workflow Tools to High-Precision AI Diagnostics”

Short Biography:

Prof. Dr. Mohd. Zulfaezal Bin Che Azemin is a distinguished professor and Head of the Kulliyyah of Allied Health Sciences at the International Islamic University Malaysia (IIUM), Kuantan Campus. His expertise lies in artificial intelligence and machine learning applications in biomedical data, ocular imaging, and biomedical image processing. With a strong background in optometry and medical diagnostics, his research focuses on integrating AI-driven solutions to enhance healthcare and diagnostic accuracy.

Prof. Zulfaezal holds a Ph.D. in Electrical and Computer Engineering from the Royal Melbourne Institute of Technology (RMIT) University, a Master's degree in Biomedical Engineering from Monash University, and a Bachelor of Engineering (Hons) in Electronics, majoring in Computer, from Multimedia University (MMU). He has also obtained professional certifications in Machine Learning, Neural Networks and Deep Learning, and Convolutional Neural Networks, further strengthening his expertise in AI and biomedical engineering.

His commitment to education is reflected in his extensive teaching portfolio, which includes courses on artificial intelligence for medical imaging, digital radiographic image processing, and health informatics. He has mentored numerous postgraduate students, guiding research projects in AI-driven medical imaging and diagnostic technologies. His supervision of projects on deep learning-based nodule detection, retinal fractal dimension analysis, and neuroimaging for cognitive therapy highlights his dedication to advancing biomedical AI.

Prof. Zulfaezal's contributions have earned him multiple accolades, including the Top Researcher Award from IIUM, a Gold Medal at the International Innovation Awards, and recognition for his pioneering research in AI and healthcare. His ongoing research continues to push the boundaries of AI in biomedical engineering, transforming diagnostic methodologies and improving patient care through innovative AI-driven solutions.

Prof. Dr. Yoshifumi Saijo

Tohoku University, Japan

Short Biography:

Yoshifumi Saijo received the M.D. and the Ph.D. degrees in 1988 and 1993 from Tohoku University. He had been trained as a cardiologist in some hospitals in Sendai area. He became Assistant Professor of Institute of Development, Aging and Cancer (IDAC) at Tohoku University in 1997.

He became Guest Professor at Aarhus University, Denmark in 1999 and he became Associate Professor of IDAC at Tohoku University in 2004. He has been a Full Professor of the Biomedical Imaging Laboratory of the Graduate School of Biomedical Engineering at Tohoku University. He is concurrent with Graduate School of Medicine, IDAC and Clinical Technology Department of University Hospital at Tohoku University.

He has been Director of Medical Device Innovation Center since 2014. He has been Deputy Director of Graduate School of Biomedical Engineering since 2020. His main research interests include high frequency biomedical ultrasound imaging, cardiovascular blood flow analysis and photoacoustic imaging. His activity also includes practical and interactive education of medical device innovation.