Serestina Viriri

University of KwaZulu-Natal, University of Johannesburg

Papers

Total Citations

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About

Serestina Viriri is a leading researcher at the forefront of artificial intelligence, medical image analysis, and human-computer interaction. His work primarily focuses on developing intelligent computational systems for clinical diagnostics and affective computing. A cornerstone of his research is the application of machine learning and computer vision to medical imaging, as demonstrated by his highly cited work on retinal vessel segmentation. In his 2015 study, he pioneered a comparative analysis of Fuzzy C-Means clustering and sum entropy information on phase congruency, addressing the critical challenge of accurately detecting both large and thin vasculature in retinal images—a vital task for diagnosing ophthalmic diseases. This contribution, alongside his work on computer-aided intervention and diagnostics published in 2019 (36 citations), underscores his impact on advancing automated clinical tools. More recently, Viriri has pushed the boundaries of affective computing with his 2025 paper on SwinTSER, an improved bilingual speech emotion recognition system using a Shift Window Transformer. This work highlights his commitment to enhancing human-robot interaction by enabling machines to respond to emotional cues. With a publication record that bridges traditional image processing and cutting-edge transformer architectures, Viriri continues to shape the future of intelligent, empathetic, and diagnostically powerful AI systems.