• Worked for over 5 years as a Systems Developer, mostly with PHP, MySQL, C, JavaScript, Python and C++
• Completed a masters of Science in Internet of Things specialising in Embedded Computing Systems at the University of Rwanda.
• My master’s research project titled “Designing an FPGA-Based System-on-Chip for X-Ray Image Analysis and Tuberculosis Detection”, explores the use of SoC architectures in X-ray image analysis for Tuberculosis detection. The project classifies X-Ray images using deep neural networks that run on an FPGA-based SoC for fast inference and low power usage. The Kria KV260 Vision AI Starter Kit from Advanced Micro Devices (AMD) is used as the prototyping platform. This research project allowed me to develop practical skills in FPGA and VLSI design implementation, and verification using vendor toolchain. I extensively worked with Vivado, Vitis, the Vivado Simulator, and ModelSim; used standard protocols such as the AMBA AXI (memory-mapped and streaming) and the Universal Asynchronous Receiver/Transmitter (UART).
• My Research Interest: Reconfigurable Computing, System-on-Chip, Embedded Systems, Computer Architecture, Internet of Things, Artificial Intelligence

Publications

A. N. Mwang’onda and M. Phiri, “Comprehensive survey study on fifth-generation wireless network and the internet of things”, EAI Endorsed Trans IoT, vol. 9, no. 3, p. e3, Aug. 2023. DOI: https://doi.org/10.4108/eetiot.v9i3.2213

Enhancing Medicine Supply Chain Efficiency in Rural African Healthcare through IoT-Enabled Smart Mobile Medicine Storage; (2023). DOI: 10.1109/AAIAC60008.2023.10465549

Impact of the Number of Features on the Performance of a Deep Neural Network Classifier for Type-2 Diabetes Prediction; (2023). DOI: 10.1109/AAIAC60008.2023.10465564