Lighton Phiri

Full Name

Lighton Phiri

Email Address

lighton.phiriATunza.zm

Role

Academic Staff

Biography

Dr. Lighton Phiri is a Lecturer and Researcher at The University of Zambia. He was awarded a PhD in Computer Science at the University of Cape Town. His broad research interests lie within the areas of Digital Libraries and Data Mining. He also has on-going research interest in Information and Communication Technologies for Development (ICT4D) and Technology-Enhanced Learning.

Projects

Automatic Classification of IR Objects

Smart IR Deposit Platform

Scholarly Research Output Online Visibility

Zambia National ETD Portal

Enterprise Medical Imaging

Educational Data Mining

Wikipedia Content Contribution in the Global South

Open and Accessible Legal and Legislative Documents

Road Safety in Zambia

Publications

**2025**
Chalwe, Christabel, Chisanga Chanda, Lweendo Muzyamba, Joe Mwape, and Lighton Phiri. 2025. “Quantitative Analysis Of Zambian Wikipedia Contributions: Assessing Awareness, Willingness, Motivation, And The Impact Of Gamified Leaderboards And Badges”. In Annual Conference Of South African Institute Of Computer Scientists And Information Technologists. Gqeberha, South Africa: Springer Nature. doi:https://doi.org/10.1007/978-3-031-64881-6_2.	More Info.
Katongo, Mulenga, Amos Mapili, Alice Phiri, and Lighton Phiri. 2025. “Automated Identification Of Missing And Incomplete Wikipedia Content On And About Zambia”. Lusaka, Zambia: University of Zambia.	More Info.
Shawa, Andrew, and Lighton Phiri. 2025. “Deployment And Evaluation Of Intelligent Dicom Viewers In Low-Resource Settings: Orthanc Plugin For Semi-Automated Interpretation Of Medical Images”. doi:https://doi.org/10.1007/978-3-031-79103-1_14.	More Info.
Nyambe, Frazer, and Lighton Phiri. 2025. “Automatic Creation Of Wikipedia Articles About Zambia Utilizing Retrieval Augmented Generation Techniques And Fact-Based Vector Databases”. In 7Th International Conference In Information And Communication Technologies. Lusaka, Zambia: International Conference in Information and Communication Technologies. https://ictjournal.icict.org.zm/index.php/icict/article/view/427/209.	More Info.
Muzumala, Malaizyo, Ernest Obbie Zulu, Peter Chibuta, Mayumbo Nyirenda, and Lighton Phiri. 2025. “Evaluating Perceived Workload, Usability And Usefulness Of Artificial Intelligence Systems In Low-Resource Settings: Semi-Automated Classification And Detection Of Community Acquired Pneumonia”. In Applications Of Medical Artificial Intelligence (Amai 2024). Marrakech, Morocco: Springer. doi:https://doi.org/10.1007/978-3-031-82007-6_12.	More Info.

2025