Papers
2
Total Citations
51
H-Index
2
About
Yupeng Hu is a researcher at the forefront of secure and intelligent autonomous systems, with a primary focus on the Internet of Things (IoT) and multi-robot coordination. His most notable contribution is the development of a "Secure fusion approach for the Internet of Things in smart autonomous multi-robot systems," a highly cited work (49 citations) that addresses critical challenges in data integrity and collaborative decision-making for distributed robotic networks. This research provides a foundational framework for ensuring trust and resilience in IoT-enabled autonomous environments, impacting fields from smart manufacturing to disaster response. Hu also explores advanced computational methods for engineering, as seen in his recent work on "Reduced-order-driven recurrent neural network for ultra-fast thermal field simulation in high-heat-flux electronic systems" (2025), which pushes the boundaries of real-time simulation for thermal management in next-generation electronics. His work bridges theoretical security models with practical AI-driven solutions, earning recognition for its innovation in autonomous system reliability. Hu’s research continues to shape how intelligent systems operate safely and efficiently in complex, data-rich environments.
Research Focus
Key Achievements
Top Papers
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