Dapeng Lan

University of Oslo, Chinese Academy of Sciences

Papers

Total Citations

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About

Dapeng Lan is a rising researcher at the forefront of distributed intelligence systems, with a primary focus on fog computing, edge computing, and their integration with emerging technologies like the Industrial Internet of Things (IIoT) and Embodied AI. His work addresses critical challenges in secure, real-time data processing for autonomous systems. Lan’s most cited paper, a 2024 study on a “Privacy‐preserving data integration scheme in industrial robot system based on fog computing and edge computing,” has already garnered 8 citations, proposing a novel data collection enhancement algorithm to secure moving robot systems within fog networks. This contribution is vital for safeguarding IIoT environments. Complementing this, his 2024 paper on “Embodied AI Through Cloud-Fog Computing: A Framework for Everywhere Intelligence” (7 citations) outlines a paradigm for achieving Artificial General Intelligence (AGI) by enabling physical embodiment, enhanced perception, and adaptive automation through cloud-fog architectures. Lan’s work is notable for bridging the gap between theoretical AI frameworks and practical, secure implementations in robotics and industrial automation. His research is increasingly influential in shaping how distributed computing can support intelligent, autonomous systems, making him a key voice in the evolution of next-generation cyber-physical systems.