Professor Serestina Viriri
Serestina Viriri

Prof Viriri’s research areas include Computer Vision, Image Processing, Pattern Recognition, Deep Learning, Machine Learning, and other Image processing related areas such as (Biometrics, Medical Imaging, Nuclear Medicine, etc.). Prof Viriri is an NRF-rated researcher.

He has published extensively in several accredited Computer Vision and Image Processing journals, international and national conference proceedings. He serves as a reviewer for several accredited journals, and has served on program committees for numerous international and national conferences. He has graduated several MSc and PhD students.

Prof Viriri is currently looking for potential MSc and PhD students interested in his research areas.
 Quote:   "Cuando se nace pobre, ser estudioso es el mayor acto de rebeldía contra el sistema." (When you are born poor, being a scholar is the greatest act of rebellion against the system.)
 Position:   Professor
PhD (Computer Science)
MSc (Computer Science)
BSc (Mathematics & Computer Science)
Telephone:   031 260 7724
Research Areas:   Computer Vision
Image Processing
Pattern Recognition
Deep Learning
Machine Learning
Medical Imaging
Recent Publications:  
O. Oluyide, J-R. Tapamo, S. Viriri, “Automatic Lung Segmentation based on Graph Cut using a Distance-constrained Energy”, IET Computer Vision Journal, 2018. DOI: 10.1049/iet-cvi.2017.0226. (ISI).

O. Salih, S. Viriri, “Skin Lesion Segmentation Using Enhanced Unified Markov Random Field”, Mining Intelligence and Knowledge Exploration, Springer, vol. 11308, pp. 331-340, 2018. DOI:, (ISBN: 978-3-030-05918-7). (SCOPUS).

J.R. Kala, S. Viriri, “Plant Specie Classification using Sinuosity Coefficients of Leaves”, Image Analysis and Stereology Journal, vol. 37, pp. 119-126, 2018. DOI: doi:10.5566/ias.1821, (ISSN 1580-3139). (ISI).

S. Viriri, J-R. Tapamo, "Iris Pattern Recognition Based on Cumulative-Sums and Majority Vote Methods", International Journal of Advanced Robotic Systems, 2017. DOI: 10.5772/60581. (ISSN 1729-8806). (ISI).

K. Chikamai, S. Viriri, J-R. Tapamo, “Mammogram Content-based Image Retrieval Based on Malignancy Classification”, Intelligent Data Analysis Journal, vol. 21, no. 5, pp. 1193-1212, 2017. DOI: 10.3233/IDA-163101, (ISSN 1088-467X). (ISI).

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