Papers
1
Total Citations
6
H-Index
1
About
Dr. Haotong Cao is a leading researcher in edge intelligence and industrial Internet of Things (IIoT), with a focus on optimizing task offloading in resource-constrained fog networks. His most cited work, "Mobility-Aware Task Offloading in Industrial Fog Networks: A Submodular-Based MARL Approach" (2024, 6 citations), tackles the critical latency challenge in IIoT by introducing a novel multi-agent reinforcement learning (MARL) framework that accounts for device mobility. This contribution is pivotal for enabling real-time, large-scale computing in dynamic industrial environments where single fog devices cannot handle all tasks. Dr. Cao’s research bridges theoretical submodular optimization with practical AI-driven solutions, offering scalable and efficient strategies for fog computing. His work has garnered attention for its potential to enhance automation and responsiveness in smart factories. By addressing the intersection of mobility, latency, and resource allocation, Dr. Cao is shaping the future of decentralized industrial networks, making him a notable figure in the advancement of fog and edge computing technologies.
Research Focus
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Top Papers
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