Kiran Deep Singh
Papers
5
Total Citations
60
H-Index
4
About
Kiran 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. His work focuses on how these converging technologies can be harnessed to build sophisticated autonomous systems capable of real-time, intelligent decision-making across diverse industrial applications. Singh's most significant contribution lies in systematically examining the security, privacy, and architectural challenges that arise when integrating IoT with AI-driven robotic platforms. His 2023 paper on security and privacy in fog/cloud-based IoT systems has already garnered 28 citations, reflecting its timeliness and relevance in a field grappling with rapidly expanding cyber threats. Building on this, he has explored how edge computing resources can offload processing burdens to enhance robotic cognition and autonomy, with follow-up works attracting 14 and 11 citations respectively within a year of publication. What distinguishes Singh's research is its genuinely interdisciplinary character — bridging machine learning, distributed computing, and robotics engineering to propose integrated frameworks that are both practically grounded and forward-looking. With a cumulative citation count exceeding 60 across five papers published between 2023 and 2024, Singh is establishing himself as a productive voice in next-generation autonomous systems research, making his work essential reading for students and practitioners in AI-enabled robotics.
Research Focus
Key Achievements
Top Papers
- 1Security and Privacy in Fog/Cloud-based IoT Systems for AI and Robotics28 citations · 2023
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- 5Machine Learning in Robotics with Fog/Cloud Computing and IoT3 citations · 2023