Vicent Mabirizi

Mabirizi Vicent is a dynamic and results-oriented academic and researcher with a strong foundation in Artificial Intelligence, Computer Vision, and Health Informatics. He is recognized for his creativity, analytical thinking, professionalism, and commitment to excellence, integrity, and collaborative engagement. His expertise spans scientific research, systems design and integration, requirements engineering, large-scale data analysis, and the development of intelligent computing solutions to address real-world challenges.
He holds a PhD in Computing with specialization in Computer Vision, a Master of Science in Health Information Technology, and a Bachelor’s degree in Information Technology obtained with First Class Honors from Mbarara University of Science and Technology. In recognition of his outstanding academic performance, he was awarded the BIT Convocation Award for the Class of 2018. He has further strengthened his professional and technical profile through internationally recognized certifications, including Instructional Design for Active Learning (Alison, CPD Certified), Cisco Certified Network Associate (CCNA), and Google Certified Associate Cloud Engineer (GCACE).
With over seven years of university-level teaching experience, Vicent has taught a broad range of computing and data science courses, including Object-Oriented Programming (Java), Structured Programming (C), Scripting Languages, Mobile Application Development, Database Programming, Web Design and Development, Artificial Intelligence, Machine Learning Techniques, Data Mining, and Data Management and Visualization. His teaching and academic contributions have extended across several institutions, including Mbarara University of Science and Technology, Uganda Christian University, and Kabale University.
Beyond teaching and research, Vicent has played an active role in promoting Ethical and Responsible Artificial Intelligence within higher education institutions. He has contributed to institutional capacity building through the design and delivery of training programs for academic and administrative staff on the responsible use of Generative AI, with emphasis on ethical practice, academic integrity, data protection, governance, and effective human–AI collaboration in teaching, research, and administration.
Vicent also possesses extensive experience in research and grant development. Over the past six years, he has successfully secured multiple competitive research grants from national institutions, including the Ministry of Science, Technology and Innovation, the Ministry of ICT and National Guidance, the Directorate of Research and Graduate Training at Mbarara University of Science and Technology, and the Directorate of Research and Grants at Kabale University.
His research interests focus on the application of Artificial Intelligence and Computer Vision to address critical challenges in healthcare and other domains. His recent work centers on improving the detection and classification of DICOM medical images using deep learning techniques, with particular emphasis on developing clinically relevant, ethically grounded, and explainable AI solutions for medical imaging and decision support systems.