Our work
Publications
Research by MakSIL members in AI, privacy, simulation, and financial security.
Peer-reviewed publications
8 papers2026
Journal article
A labelled image dataset of genuine and counterfeit Ugandan banknotes
Data in Brief, volume 69, article 113293
2025
Conference paper
DeepFakesUG: Detecting Counterfeit Ugandan Banknotes Using Deep Learning
Pan-African Conference on Artificial Intelligence (PanAfriCon AI 2024), Communications in Computer and Information Science, vol. 2550, pp. 179–193. Springer.
Conference paper
MoMTSimDP: A Differentially Private Simulator for Mobile Money Transactions
2025 IEEE/ACM Symposium on Software Engineering in the Global South (SEiGS), pages 53–58
Journal article
A labeled synthetic mobile money transaction dataset
Data in Brief, volume 60, article 111534
Conference paper
Financial Fraud Detection Using Rich Mobile Money Transaction Datasets
Towards new e-Infrastructure and e-Services for Developing Countries (AFRICOMM 2023), Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 588, pp. 190–208. Springer.
2024
Journal article
MoMTSim: A Multi-Agent-Based Simulation Platform Calibrated for Mobile Money Transactions
IEEE Access, volume 12, pages 120226–120238
Conference paper
Refining Detection Mechanism of Mobile Money Fraud Using MoMTSim Platform
Pan-African Conference on Artificial Intelligence (PanAfriConAI 2023), Communications in Computer and Information Science, vol. 2069, pp. 62–82. Springer.
2022
Conference paper
Scenario-based Synthetic Dataset Generation for Mobile Money Transactions
Proceedings of the Federated Africa and Middle East Conference on Software Engineering (FAMECSE 2022), pages 64–72
PhD thesis
Differentially Private Synthetic Data Generation for Mobile Money Fraud Detection
This thesis explores synthetic transaction data for fraud detection while protecting privacy. It develops MoMTSim and its differentially private extension, MoMTSimDP, and evaluates how well the generated data supports machine learning and analysis of mobile money transactions.
Read thesis abstract