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Dr. Yuwei Chen | Radar Awards | Best Researcher Award 

Dr. Yuwei Chen | National University of Defense Technology | China

Dr. Yuwei Chen is an accomplished researcher in electronic science and technology with a specialization in intelligent sensing, radar imaging, and graphene-based photonic devices. His career reflects an outstanding blend of theoretical depth, practical engineering, and interdisciplinary collaborations across institutions in China and Europe. With a strong foundation in signal processing, remote sensing, and nanomaterials, his work has produced innovations that contribute to both defense-related applications and civilian technological advances. His research has been recognized through funded projects, publications in high-impact journals, and patents that highlight the originality and applicability of his work in cutting-edge domains.

Professional Profile

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Summary of Suitability for Best Researcher Award

Dr. Yuwei Chen is a promising and accomplished researcher in electronic science, intelligent sensing, and radar imaging technologies. With a strong educational foundation from National University of Defense Technology (NUDT) and international research experience at Delft University of Technology (TU Delft), Dr. Chen demonstrates both depth and breadth in scientific innovation and global collaboration.

Education

She began his academic journey with a bachelor’s degree in geoscience and technology at Central South University, where he built a solid foundation in earth sciences and signal analysis. Motivated by an interest in electronics and sensing, She pursued his master’s degree at the National University of Defense Technology (NUDT), focusing on electronic science and technology. He continued at NUDT for his doctoral studies, where his Ph.D. research advanced the understanding of graphene-based photonic absorbers and radar imaging systems. To broaden his international academic perspective, he spent a year as a visiting researcher at Delft University of Technology (TU Delft), where he collaborated with experts in mechanical, maritime, and materials engineering. His education reflects a progressive specialization from fundamental sciences to advanced intelligent sensing and electronic systems.

Experience

After completing his doctorate, Dr. Yuwei Chen began his professional career as an assistant researcher at the Department of Intelligent Sensing, College of Electronic Science and Technology, NUDT. In this role, he has participated in major national scientific projects, contributed to interdisciplinary collaborations, and mentored graduate students in advanced sensing techniques. His expertise includes developing innovative radar imaging methods, designing graphene-based absorbers, and contributing to robust positioning technologies in GNSS-denied environments. His experience also extends to presenting research at international conferences, publishing in reputable journals, and securing patents that showcase practical applications of his scientific contributions. This combination of academic and applied experience underscores his capacity to address complex scientific problems while translating them into technological solutions.

Research Interests

His research interests are centered on intelligent sensing, radar imaging, and electromagnetic wave manipulation. Specifically, She has focused on ground-penetrating radar (GPR) localization, synthetic aperture radar (SAR) imaging, and advanced algorithms for spatial–temporal signal processing. Beyond radar systems, he has conducted influential research on graphene-based absorbers, exploring Fano resonance and Fabry–Perot resonance to control light absorption and transmission at nanoscale levels. These interdisciplinary studies connect materials science with applied electromagnetics, demonstrating his ability to bridge different domains for practical innovation. His ongoing work includes robust positioning methods for environments where GNSS signals are unavailable, which holds strategic importance for navigation, defense, and autonomous systems.

Award

Dr. Yuwei Chen achievements have been recognized through support from prestigious funding bodies, including the National Natural Science Foundation of China (NSFC), where he has served as both participant and principal investigator. She has received competitive research funding for his contributions to radar imaging and GNSS-denied navigation systems, reflecting the national and academic recognition of his innovative work. His awarded patents further highlight his ability to transform theoretical knowledge into practical devices and methods that have technological and industrial significance.

Publication Top Notes

  1. Controlling light absorption and transmission in graphene-embedded structure with Fano resonance and FP resonance
    Year: 2018
    Citations: 7

  2. Controllable tri-mode perfect absorption in hybrid resonance cavity with single graphene monolayer
    Year: 2019
    Citations: 4

  3. GPR Image Retrieval and Localization Based on Spatial Prior Constraints
    Year: 2024
    Citations: 2

  4. Spatial-Temporal U-Net for Localizing Ground Penetrating Radar
    Year: 2025
    Citations: 1

  1. EDENet: Echo Direction Encoding Network for Place Recognition Based on Ground Penetrating Radar
    Year: 2025
    Citations: 1

  2. Hybrid-Driven with Low-Frequency Enhancement for LGPR Map Reconstruction
    Year: 2025
    Citations: 1

Conclusion

Dr. Yuwei Chen is a dynamic researcher whose expertise spans intelligent sensing, radar imaging, and photonic device design. His academic background, international collaboration, and current role as an assistant researcher reflect his consistent growth and recognition in the scientific community. His work has contributed to advancing ground-penetrating radar techniques, robust positioning technologies, and graphene-based photonic structures, with applications that extend from defense to civil infrastructure. His publications, patents, and funded projects highlight both theoretical innovation and real-world applicability, making him an outstanding candidate for recognition in award nominations.

Dr. Yuwei Chen | Radar Awards | Best Researcher Award

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