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Serestina Viriri

Prof. Serestina Viriri

University of KwaZulu-Natal

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Professor Serestina Viriri is a distinguished academic and researcher in the field of Computer Science, specializing in Artificial Intelligence, Computer Vision, and Machine Learning. He is currently a Professor in the School of Mathematics, Statistics & Computer Science at the University of KwaZulu-Natal, South Africa, where he also serves as a research supervisor and mentor for postgraduate students. He holds a PhD in Computer Science and has extensive experience in AI-driven medical imaging, deep learning architectures, and hybrid AI models. Over the years, he has contributed significantly to research on medical diagnostics, pattern recognition, and explainable AI. His work has been widely published in high-impact journals and conferences, advancing knowledge in the intersection of AI and healthcare. Professor Viriri has previously held various academic and administrative positions, demonstrating leadership in AI research and curriculum development. He is an active member of professional societies and has received multiple awards for his contributions to computer science and artificial intelligence research.

Research Keywords & Expertise

Computer Vision
Deep Learning
Image Processing
machine learning
Pattern Recognition

Fingerprints

35%
Deep Learning
12%
machine learning
8%
Image Processing
7%
Computer Vision
5%
Medical Image Analysis
5%
Pattern Recognition

Short Biography

Professor Serestina Viriri is a distinguished academic and researcher in the field of Computer Science, specializing in Artificial Intelligence, Computer Vision, and Machine Learning. He is currently a Professor in the School of Mathematics, Statistics & Computer Science at the University of KwaZulu-Natal, South Africa, where he also serves as a research supervisor and mentor for postgraduate students. He holds a PhD in Computer Science and has extensive experience in AI-driven medical imaging, deep learning architectures, and hybrid AI models. Over the years, he has contributed significantly to research on medical diagnostics, pattern recognition, and explainable AI. His work has been widely published in high-impact journals and conferences, advancing knowledge in the intersection of AI and healthcare. Professor Viriri has previously held various academic and administrative positions, demonstrating leadership in AI research and curriculum development. He is an active member of professional societies and has received multiple awards for his contributions to computer science and artificial intelligence research.