Assoc. Prof. Dr. Xiangping Zhai | Unmanned Systems | Excellence in Applied Sciences Award

Assoc. Prof. Dr. Xiangping Zhai | Unmanned Systems | Excellence in Applied Sciences Award

Nanjing University of Aeronautics and Astronautics, China.

Prof. Xiangping Bryce Zhai is an Associate Professor at the College of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics (NUAA). His research focuses on green communications, resource optimization, and Internet of Things (IoT) applications. With a strong background in computer science, he has made significant contributions to energy optimization, interference management, and distributed computing. Prof. Zhai has published extensively in top-tier journals, exploring advanced algorithms for wireless networks, UAV communications, and digital twin security.

Profile

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πŸŽ“ Education

Assoc. Prof. Dr. Xiangping Zhai holds a Ph.D. in Computer Science from City University of Hong Kong (2010–2014) and a B.S. in Computer Science and Technology from Shandong University (2002–2006). His academic journey reflects a strong foundation in computer science, with expertise spanning advanced computational technologies and research.

πŸ’Ό Experience

Assoc. Prof. Dr. Xiangping Zhai is currently an Associate Professor at Nanjing University of Aeronautics and Astronautics (2018–Present), where he contributes to cutting-edge research and education in computer science. Previously, he served as an Assistant Professor at the same institution from 2014 to 2018, demonstrating a strong commitment to academic excellence and innovation in his field.

πŸ”¬ Research Interests

🌱 Green Communications – Energy-efficient wireless networks & power control in mobile systems

πŸ“‘ Wireless Network Optimization – Interference management & rate fairness in IoT devices

πŸ›° Internet of Flying Things (IoFT) – UAV-enabled wireless networks & smart cooperation

πŸ— Distributed Computing & AI – Adaptive demand-based computing & distributed learning

πŸ”’ Security in Digital Twins – Trust management in vehicular and industrial IoT

πŸ† Awards & Honors

πŸŽ– Best Paper Award, IEEE Internet of Things Journal

πŸ… Outstanding Young Scholar, Nanjing University of Aeronautics and Astronautics

πŸ† Top Researcher in Green Communications, City University of Hong Kong

πŸ“š Selected Publications

πŸ“„ Joint Trajectory Design and Power Allocation in NOMA-based UAV Networks – IEEE Transactions on Vehicular Technology, 2024


πŸ“„ Joint Optimization of Trajectory and User Association via Reinforcement Learning for UAV-aided Data Collection in Wireless Networks – IEEE Transactions on Wireless Communications, 2023


πŸ“„ Performance Tuning via Lean Measurements for Acceleration of Virtualized Network Functions – IEEE/ACM Transactions on Networking, 2023


πŸ“„ Trust Management Strategy for Digital Twins in Vehicular Ad Hoc Networks – IEEE Journal on Selected Areas in Communications, 2023


πŸ“„ Fast Admission Control and Power Optimization with Adaptive Rates for Communication Fairness in Wireless Networks – IEEE Transactions on Mobile Computing, 2021


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

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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πŸŽ“ 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.

πŸ’Ό 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.

πŸ”¬ 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

πŸ“š 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.

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