Vicent Mabirizi

Instruction Design Officer

Mabirizi Vicent is a dynamic, results-oriented researcher known for his creativity, analytical thinking, and customer-focused approach. He upholds values of professionalism, integrity, and respect for all. Vicent is a versatile researcher with a strong skillset in scientific research, requirement engineering, large-scale data analysis, and problem-solving in design and systems integration.

He holds a Master of Science in Health Information Technology from Mbarara University of Science and Technology (MUST) and graduated with First Class Honors in his Bachelor’s degree in Information Technology from the same institution. As a standout student, he was the recipient of the BIT Convocation Award for the Class of 2018. He has further honed his skills with certifications such as Instructional Design for Active Learning (Alison, CPD Certified), Cisco Certified Network Associate (CCNA), and Google Certified Associate Cloud Engineer (GCACE).

With over five years of university-level teaching experience, Vicent has taught a range of programming and technology courses, including Object-Oriented Programming (Java), Structured Programming (C), Scripting Languages, Mobile Application Programming, Database Programming, and Web Design and Development. His teaching contributions span several institutions, including Mbarara University of Science and Technology, Bishop Barham University College, and Kabale University.

In addition to his teaching career, Vicent has extensive experience in grant writing. Over the past five years, he has successfully secured four research grants from various Ugandan institutions, including the Ministry of Science, Technology and Innovation, the Ministry of ICT and National Guidance, the Directorate of Research and Graduate Training at MUST, and the Directorate of Research and Grants at Kabale University.

His research interests lie primarily in the application of Artificial Intelligence (AI) to solve pressing health-related challenges. His recent research work focuses on improving the detection and classification of DICOM images by applying Deep Learning techniques.

Qualifications

  • PhD in CS (Student)
  • Masters of Science in Health Information Technology (MSc. HIT), MUST-2021
  • Bachelor of Information Technology (BIT), MUST – 2018
  • Instructional Design for Active Learning, Alison – 2023
  • Cisco Certified Network Associate (CCNA) – 2020

Research Interests

AI for Healthcare: Exploring the applications of AI in healthcare, including medical image analysis, disease diagnosis and Prognosis, and healthcare management optimisation.

 

 

Publications

Simon Kawuma, Elias Kumbakumba, Mabirizi Vicent, Deborah Nanjebe, Kenneth Mworozi, Adolf Oyesigye Mukama, Lydia Kyasimire . (2024) . Diagnosis and Classification of Tuberculosis Chest X-ray Images of Children Less Than 15 years at Mbarara Regional Referral Hospital Using Deep Learning . Journal of Artificial Intelligence and Data Mining (JAIDM), 12(2), pp. 315-324
Vicent Mabirizi, Monica Karungi, Jones Murangira, B Gloria Muhoza, Micheal Mutebi, Ronald Mbago, John Ivan Koshabohebwa, Ruth Birungi . (2024) . Assessing the effectiveness of tools used for lecturer and course evaluation in institutions of higher learning: a case study from Ugandan universities . Kabale University Interdisciplinary Research Journal, 2(4), pp. 31-43
Simon Kawuma, Evarist Nabaasa, David Bamutura Sabiiti, Vicent Mabirizi . (2023) . An Empirical Study of Bugs in Eclipse Stable Internal Interfaces . Indian Journal of Software Engineering and Project Management (IJSEPM), [online] Volume 2(2). Available at: https://arxiv.org/abs/2203.09134
Mabirizi Vicent, Ampaire Ray Brooks and Muhoza B. Gloria . (2023) . Masked and unmasked face recognition model using deep learning techniques. A case of black race . Kabale University Interdisciplinary Research Journal (KURJ), [online] Volume 2(1), pp. 22 - 31. Available at: https://kurj.kab.ac.ug/index.php/1/article/view/74/39
Kawuma Simon, Mabirizi Vicent, Kyarisiima Addah, David Bamutura, Barnabas Atwiine, Deborah Nanjebe, Adolf Oyesigye Mukama . (2023) . Comparison of Deep Learning Techniques in Detection of Sickle Cell Disease . Artificial Intelligence and Applications, [online] Volume 1(1), pp. 1-8. Available at: https://ojs.bonviewpress.com/index.php/AIA/article/view/853
Muhoza B. Gloria, Ssemaluulu Paul Mukasa and Mabirizi Vicent . (2022) . A mobile based technology to improve male involvement in antenatal care . Kabale University Interdisciplinary Research Journal (KURJ), [online] Volume 1(4), pp. 79 - 86. Available at: https://kurj.kab.ac.ug/index.php/1/article/view/43/34
Mabirizi Vicent, Kawuma Simon, Safari Yonasi . (2022) . An algorithm to detect overlapping red blood cells for sickle cell disease diagnosis . IET Image Processing, [online] Volume 16(6), pp. 1669-1677. Available at: https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/ipr2.12439

Projects

Automated System of Evaluating Blended Teaching & Learning Process in Higher Education. Case of Kabale University

Ms. Karungi Monica, Murangira Jones, Mabirizi Vicent June, 2023 → May, 2024

Virtual Chemistry Laboratory Simulator (V-ChemLab)

Dr. Businge Phelix Mbabazi, Musiime Aloysius, Tamale Michael, Mabirizi Vicent, Patricia Kyomugisha, Zziwa Derrick, Kakooza Aziizi June, 2022 → May, 2023

Increasing Access to Sickle Cell Screening Services Using a Customized Smartphone and Artificial Intelligence Deep Learning Techniques

Mabirizi Vicent, Kawuma Simon, Kyarisiima Addah, David Bamutura, Barnabas Atwiine, Deborah Nanjebe, Adolf Oyesigye Mukama June, 2022 → May, 2023

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