Dechao Chen | Embodied Intelligence | Young Scientist Award

Prof. Dechao Chen | Embodied Intelligence | Young Scientist Award

Hangzhou Dianzi University | China

The research focuses on advanced intelligent systems that integrate neural networks, unmanned system control, machine vision, robotics, data mining, intelligent optimization algorithms, and intelligent medical technologies. Core contributions lie in the design of robust learning models, control strategies for autonomous and unmanned systems, and data-driven optimization methods that enhance perception, decision-making, and system reliability in complex environments. Significant work has been published in leading international SCI journals, particularly in high-impact IEEE Transactions, reflecting strong theoretical innovation and practical relevance. The research output includes over a hundred peer-reviewed articles, with multiple papers recognized as ESI highly cited works, demonstrating sustained global influence and high citation impact. Contributions have advanced intelligent control, industrial informatics, automation science, and medical intelligence, bridging theory with real-world engineering and healthcare applications. The research has been supported by major national and provincial competitive funding programs, including foundational science projects and key research and development initiatives, emphasizing originality, scalability, and societal value. Scholarly impact is further reflected through extensive citations, high bibliometric indices, and authorship of an international monograph published by a leading academic press. In addition, the research actively contributes to the academic community through editorial and peer-review activities for top-tier journals, helping to shape research directions in neural computation, robotics, intelligent optimization, and medical technology.

Citation Metrics (Scopus)

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2048

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Featured Publications

UMSSNet: a unified multi-scale segmentation network for heterogeneous medical images
– Multimedia Systems, 2025 · 2 Citations · Open Access
VSDRL: A robust and accurate unmanned aerial vehicle autonomous landing scheme
– IET Control Theory & Applications, 2025 · 1 Citation
ADP: Adaptive Diffusion Policy Energizes Robots Thinking in Both Learning and Practice
– IEEE Transactions on Automation Science and Engineering, 2025 · 0 Citations
Robust Neural Dynamics for Depth Maintenance Tracking Control of Robot Manipulators With Uncertainty and Perturbation
– IEEE Transactions on Automation Science and Engineering, 2025 · 8 Citations