Rehman Mobashar

Papers

Total Citations

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About

Rehman Mobashar is a researcher at the intersection of embedded systems and applied machine learning, with a particular focus on making intelligent automation accessible for small-scale and ad hoc applications. His most-cited work, "Automatic Image Annotation for Small and Ad hoc Intelligent Applications using Raspberry Pi" (2019), demonstrates a practical, low-cost approach to deploying computer vision on resource-constrained devices. By successfully implementing automatic image tagging—a process where a system assigns metadata to images without human intervention—on a Raspberry Pi platform, Mobashar bridges the gap between advanced machine learning techniques and real-world, budget-friendly deployment. This contribution is especially valuable for business intelligence and IoT scenarios where traditional high-power computing is not feasible. With his work accumulating citations and serving as a reference for researchers exploring edge AI, Mobashar’s research highlights the potential of democratizing intelligent systems, proving that sophisticated annotation and analysis can be achieved even on modest hardware. His efforts continue to inspire new pathways in lightweight, autonomous image understanding for practical, everyday applications.