Senior engineer at Xi’an Institute of Space Radio Technolog, China
Yingbin Wang earned his Ph.D. in Electronic Science and Technology from Xidian University in June 2022. He is a senior engineer at the National Key Laboratory of Science and Technology on Space Microwave, Xi’an Institute of Space Radio Technology. His research focuses on space microwave communication, detection, Integrated Sensing and Communication (ISAC), and Artificial Intelligence (AI). Yingbin has contributed to major national research projects, including space-based radar target detection and anti-jamming satellite communication. He has published over ten papers in top journals like IEEE Transactions on Geoscience and Remote Sensing and serves as a reviewer for several academic journals. 📡📡
Professional Profile
Education & Experience 🎓🔬
- 🏫 Ph.D. in Electronic Science and Technology – Xidian University, June 2022
- 🏢 Senior Engineer – National Key Laboratory of Science and Technology on Space Microwave, Xi’an Institute of Space Radio Technology
- 🚀 Research Contributions – Worked on space-based radar target detection, anti-jamming satellite communication, and integrated satellite-terrestrial communication and sensing
- 📑 Academic Publications – Published in IEEE Transactions on Geoscience and Remote Sensing, IEEE Geoscience and Remote Sensing Letters, Digital Signal Processing, and Neurocomputing
- ✍️ Journal Reviewer – Reviews articles for leading scientific journals
Professional Development 🚀📡
Yingbin Wang is a dedicated researcher in space microwave technologies, specializing in communication, detection, and AI applications. As a senior engineer, he actively participates in major national-level projects, advancing satellite communication and radar sensing technologies. His expertise in Integrated Sensing and Communication (ISAC) contributes to the development of cutting-edge solutions for space-based applications. His work ensures enhanced anti-jamming capabilities and seamless satellite-terrestrial integration. By collaborating with academic and industrial experts, he stays at the forefront of space microwave innovations. Yingbin also contributes to the research community by publishing in prestigious journals and serving as a reviewer. 🔍📡🚀
Research Focus 🛰️📶
Yingbin Wang’s research revolves around advanced space microwave technologies, integrating Artificial Intelligence (AI) to enhance communication and sensing. His work includes satellite-terrestrial integration, radar target detection, and anti-jamming techniques. As an expert in Integrated Sensing and Communication (ISAC), he contributes to the development of next-generation space communication systems. His research supports national security and space exploration by improving data transmission efficiency, enhancing signal processing, and ensuring robust satellite networks. By leveraging AI, he optimizes microwave system performance, enabling smarter and more resilient space communication. His contributions are paving the way for future advancements in space-based technologies. 🚀📡🤖
Awards & Honors 🏆🎖️
- 🏅 Recognized for contributions to national space-based radar and satellite communication projects
- 📜 Published over 10 academic papers in high-impact journals
- ⭐ Serves as a reviewer for prestigious journals in the field of geoscience, remote sensing, and AI-driven communication
- 🎖️ Played a key role in national-level research projects related to anti-jamming satellite communication and ISAC technologies
- 🏆 Acknowledged for innovations in space microwave communication and AI integration.
Publication Top Notes
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SPB-Net: A deep network for SAR imaging and despeckling with downsampled data
- Authors: K Xiong, G Zhao, Y Wang, G Shi
- Journal: IEEE Transactions on Geoscience and Remote Sensing
- Volume: 59 (11)
- Pages: 9238-9256
- Citations: 27
- Year: 2020
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Multi-scale and single-scale fully convolutional networks for sound event detection
- Authors: Y Wang, G Zhao, K Xiong, G Shi, Y Zhang
- Journal: Neurocomputing
- Volume: 421
- Pages: 51-65
- Citations: 18
- Year: 2021
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A convex optimization algorithm for compressed sensing in a complex domain: The complex-valued split Bregman method
- Authors: K Xiong, G Zhao, G Shi, Y Wang
- Journal: Sensors
- Volume: 19 (20)
- Article Number: 4540
- Citations: 13
- Year: 2019
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MSFF-Net: Multi-scale feature fusing networks with dilated mixed convolution and cascaded parallel framework for sound event detection
- Authors: Y Wang, G Zhao, K Xiong, G Shi
- Journal: Digital Signal Processing
- Volume: 122
- Article Number: 103319
- Citations: 12
- Year: 2022
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Lq-SPB-Net: A Real-Time Deep Network for SAR Imaging and Despeckling
- Authors: K Xiong, G Zhao, Y Wang, G Shi, S Chen
- Journal: IEEE Transactions on Geoscience and Remote Sensing
- Volume: 60
- Pages: 1-21
- Citations: 8
- Year: 2021