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About

Prabh Deep Singh is an emerging researcher specializing at the dynamic intersection of fog and cloud computing, the Internet of Things (IoT), artificial intelligence, and robotics — a cluster of technologies collectively reshaping autonomous systems and intelligent infrastructure. His work addresses one of the most pressing challenges in modern computing: how to securely and efficiently integrate distributed edge architectures with AI-driven robotic systems across real-world applications. Singh's most cited contribution, "Security and Privacy in Fog/Cloud-based IoT Systems for AI and Robotics" (2023, 28 citations), critically examines the vulnerabilities that arise when cross-disciplinary technologies converge, offering frameworks to safeguard these complex ecosystems. His subsequent work on interdisciplinary approaches further explores how fog and cloud computing can serve as the computational backbone for increasingly autonomous robotics platforms. His 2023 paper on fog-based Edge AI for robotics investigates how distributing intelligence closer to the data source enhances cognitive capabilities and system independence. Collectively accumulating over 45 citations within a remarkably short publication window, Singh's scholarship demonstrates both timeliness and relevance. His research is particularly valuable for students and practitioners seeking to understand how emerging computational paradigms can be responsibly harnessed to advance the next generation of intelligent, connected machines.