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Lilian Emmanuel Mkonyi
Biography
Lilian is an Assistant Lecturer in the Department of Computer Science and Engineering at the College of Information and Communication Technologies (CoICT), University of Dar es Salaam. She holds an MSc in Information and Communication Science and Engineering, with a specialization in Information System Development and Management, from the Nelson Mandela African Institution of Science and Technology (NM-AIST), Tanzania (2021), and a BSc in Computer Science from the University of Dar es Salaam (2015).
Lilian joined the University of Dar es Salaam in 2015 as a Tutorial Assistant and was promoted to Assistant Lecturer in 2021. She teaches undergraduate courses and is engaged in the implementation of information systems projects at the UDSM DHIS2 Lab within the Department of Computer Science and Engineering.
Research Interest
Information Systems, eHealth, and machine learning.
Contacts
Email:
Projects
2024- to date: Development of an artificial intelligence-based application for predicting chronic respiratory disease cases for mitigating climate change impact on air quality in Tanzania.
Role: Project member
2023 to date: Involved in the implementation of Malaria Services and Data Quality Improvement Electronic Database System (MSDQI/EDS) mobile application for supporting malaria supportive supervision for the Ministry of Health's National Malaria Control Program.
Role: Information System Analyst
2016 to date: Engaged in the implementation of the Health Management Information System (HMIS) for the Ministry of Health, a national data warehouse for recording and reporting routine service data from all health facilities across the country.
Role: Information System Analyst
2016 to date: Implemented the Electronic Case-Based TB and Leprosy System for the Ministry of Health’s National Tuberculosis and Leprosy Program, enabling effective monitoring of TB and leprosy patients' treatment.
Role: Information System Analyst
Publications
Mkonyi, L., Rubanga, D., Richard, M., Zekeya, N., Sawahiko, S., Maiseli, B., & Machuve, D. (2020). Early identification of Tuta absoluta in tomato plants using deep learning. Scientific African, 10, e00590.