Dr. Zhe Wang | Wireless Network | Best Researcher Award

Published on by Invention Awards

Dr. Zhe Wang | Wireless Network | Best Researcher Award

Guangxi Minzu University, China.

Dr. Zhe Wang is an Assistant Professor at the School of Artificial Intelligence, Guangxi Minzu University. He earned his PhD in Electric Power and Intelligent Information from Guangxi University in 2019. His research focuses on Simultaneous Wireless Information and Power Transfer (SWIPT), wireless power transfer, optimization, and AI applications. Dr. Wang has contributed significantly to the field of federated learning and privacy-preserving AI techniques, with publications in high-impact journals.

Profile

Scopus

🎓 Education

Dr. Zhe Wang holds a PhD in Electric Power and Intelligent Information from Guangxi University, China, which he obtained in 2019. His academic journey has been centered on advancing research in wireless power transfer, optimization techniques, and AI applications in energy systems. With a strong foundation in electrical engineering and intelligent systems, Dr. Wang has contributed to cutting-edge innovations in Simultaneous Wireless Information and Power Transfer (SWIPT). His expertise bridges the gap between power systems and artificial intelligence, driving new methodologies for efficient and intelligent energy solutions.

💼 Experience

Dr. Zhe Wang is an Assistant Professor at the School of Artificial Intelligence, Guangxi Minzu University, a position he has held since 2021. Prior to this, he served as a Lecturer at the School of Information Engineering at the same university from 2019 to 2020. His academic contributions focus on advancing research and education in artificial intelligence and information engineering, fostering innovation in these rapidly evolving fields.

🔬 Research Interests

Simultaneous Wireless Information and Power Transfer (SWIPT)

Wireless Power Transfer

Optimization Techniques

AI Applications in Power Systems

Privacy-Preserving AI & Federated Learning

🏆 Awards & Recognitions

Outstanding Research Contribution Award – Guangxi Minzu University

Best Paper Award – International Conference on Artificial Intelligence Applications

Innovation Excellence Honor – SWIPT & Wireless Power Transfer Research

📚 Publications

1️⃣ "A Review of Privacy-Preserving Research on Federated Graph Neural Networks"

Journal: Neurocomputing (2024)

Cited by: 2 articles

2️⃣ "A Review of Secure Federated Learning: Privacy Leakage Threats, Protection Technologies, Challenges, and Future Directions"

Journal: Neurocomputing (2023).

Cited by: 22 articles

 

 

Mr. Zheting Meng | Physics and Astronomy | Best Researcher Award

Published on by Invention Awards

Mr. Zheting Meng | Physics and Astronomy | Best Researcher Award

Institute of Optics and Electron, China.

Mr. Meng Zheting is a graduate student at the Institute of Optoelectronics Technology, Chinese Academy of Sciences, specializing in light field regulation and vector light field control applications. With a strong background in physics and optoelectronics, he is dedicated to advancing laser wireless power transfer (LWPT) for UAVs. His research focuses on developing lightweight air-floating metalenses, significantly improving laser energy distribution and wireless charging efficiency.

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Orcid
Google Scholar

🎓 Education

Meng Zheting holds a Bachelor of Science in Physics from Sichuan University, where he developed a strong foundation in optics and photonics. His undergraduate studies sparked a deep interest in light field manipulation, leading him to pursue further specialization. Currently, he is enrolled in a Master of Science in Optoelectronics at the Institute of Optoelectronics Technology, Chinese Academy of Sciences. His graduate research focuses on the principle and method of light field regulation, particularly in vector light field control applications. Through his academic journey, he has gained extensive expertise in laser wireless power transfer (LWPT) and its innovative applications, contributing to the advancement of unmanned aerial vehicle (UAV) endurance and efficient long-range wireless energy transfer.

💼 Experience

Meng Zheting is currently a Graduate Researcher (2023–Present) at the Research Center on Vector Optical Fields, Institute of Optoelectronics Technology, Chinese Academy of Sciences. His research is dedicated to advancing Laser Wireless Power Transfer (LWPT) technologies, aiming to enhance Unmanned Aerial Vehicle (UAV) endurance by overcoming critical challenges such as beam divergence, non-uniform irradiation, and alignment instability. His innovative work includes the development of a lightweight air-floating metalens that significantly improves laser focusing and energy distribution, achieving up to 75% uniformity in experiments. This breakthrough has the potential to revolutionize long-range wireless power transmission, expanding applications in aerospace, defense, and renewable energy sectors.

🔬 Research Interests

Light field regulation and vector light field control applications

Laser Wireless Power Transfer (LWPT) for UAVs

Metalens-based optical focusing for power transmission

📚 Publication

Meng, Z., Xiao, Y., Chen, L., Wang, S., Fang, Y., Zhou, J., Li, Y., Zhang, D., Pu, M., & Luo, X. (2025). Floating Multi-Focus Metalens for High-Efficiency Airborne Laser Wireless Charging. Photonics, 12(2), Article 150. DOI: 10.3390/photonics12020150

This study presents a floating multi-focus metalens designed to enhance airborne laser wireless charging efficiency. By improving laser focusing precision and energy uniformity, the proposed technology addresses key limitations in long-range wireless power transfer (LWPT), significantly boosting UAV endurance and operational capabilities.