Project Management, AI, Internet of Things
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