Dr. Jiaxin Zhang | Satellite | Best Researcher Award

Associated Professor at Beijing University of Posts and Telecommunications, China

Dr. Jiaxin Zhang is an Associate Professor and Ph.D. supervisor at the School of Information and Communication Engineering, Beijing University of Posts and Telecommunications (BUPT). He specializes in integrated satellite-terrestrial networks and aerospace information systems. A recipient of the Young Scientific and Technological Talent Project, he has led over ten major national and municipal research initiatives like the National Natural Science Foundation Youth Fund and National Key Research and Development Program. Dr. Zhang has authored more than 40 SCI/EI journal papers, holds over 20 invention patents, and earned accolades including the Qilin Science and Technology Award, the IEEE WCSP 10‑Year Best Paper Award, and the Beijing Youth May Fourth Medal. He pioneered a multi-edge integrated network architecture and established a 5G space–ground integration test platform at BUPT.

Professional Profile

ORCID

Scopus Profile

Education

Dr. Zhang completed his B.S. in Telecommunications Engineering at BUPT before earning his M.Sc. in Communication and Information Systems from BUPT. He then pursued a Ph.D. in Satellite Communications and Networking at BUPT. His academic training provided a strong foundation in satellite systems, wireless communications, network architectures, and advanced communication theory. During his doctoral studies, he focused on the integration of terrestrial and satellite networks, developing new architectures for cross-tier routing and multi-edge collaboration. His thesis and publications led to scalable network models for 5G integration and AI-informed resource allocation. This educational background underpins his current work in aerospace communication, satellite-terrestrial convergence, and network system design.

Work Experience

Dr. Zhang serves as a long-term Associate Professor and doctoral supervisor at BUPT. He has coordinated and participated in over ten research projects funded by national programs like the National Natural Science Foundation Youth Fund, National Key R&D Program, and Beijing Natural Science Foundation. Within his research group, he led the deployment of a high-low orbit space–ground network testbed (Galaxy Space 5G), enabling performance evaluation of integrated satellite-terrestrial systems. His earlier projects include routing algorithms for mega-LEO constellations, SDN-enabled cache strategies, and multi-access edge computing architectures. He played a key role in establishing the Space-Earth Integration Sub-Platform at BUPT’s Shahe Science Park. Dr. Zhang also mentored students to win over 30 national innovation and entrepreneurship awards in the “Internet Plus” competition.

🏆 Awards & Honors

Dr. Zhang has accumulated numerous prestigious accolades. He received the Qilin Science and Technology Award for his contributions to satellite-terrestrial communications and the IEEE WCSP 10-Year Anniversary Best Paper Award as first author. He earned the IEEE Outstanding Service Award, recognition among the Top Ten Benchmarks for Computing Power Applications by China’s Association for Standardization in 2023, and was named a Beijing Outstanding Young Talent, receiving the Beijing Youth May Fourth Medal. Additionally, he achieved first place in the 8th National Collegiate Electronic Information Young Teachers’ Teaching Competition and had his undergraduate course recognized as High-Quality Undergraduate Textbook Courseware in Beijing universities. His research group has also secured institutional funding from BUPT’s Outstanding Young Talent Fund and Haidian District’s Golden Bridge Seed Fund.

Research Focus

Dr. Zhang’s research centers on integrated satellite-terrestrial networks, multi-edge collaborative architectures, low-orbit satellite communications, and AI-enabled network optimization. He pioneered a multi-edge collaborative 5G satellite-terrestrial framework, and developed SDN-enabled caching and routing mechanisms for remote connectivity. His works examine separation of control and service layers in hybrid networks to improve energy and spectral efficiency (J. Communications & Networks, 2017), and caching distribution strategies (IEEE Trans. Consumer Electronics, 2024). Other contributions include cross-tier routing for LEO constellations (IoT Journal, 2024) and mega-constellation routing algorithms (IEEE WCNC, 2023). He also designed low-orbit satellite edge computing architectures (Mobile Communications, 2021) and proposed the DILIGENT task offloading framework (ChinaCom 2020). His research shapes future satellite-terrestrial synergy for global communications and edge intelligence.

Skills

Dr. Zhang brings a versatile skill set spanning network architecture design, satellite-terrestrial system integration, edge computing, SDN, AI-driven optimization, and multi-tier routing protocols. He is proficient in network simulation and performance analysis, cache strategy implementation, and distributed intelligence frameworks. His technical expertise includes algorithm design (deep reinforcement learning, multipath routing), prototype testbed deployment (Galaxy Space 5G), and standardization and benchmarking in computational platforms. With strong software skills in MATLAB, Python, NS-3, and C/C++, he also excels in experimental validation and system integration. Dr. Zhang effectively leads collaborative teams and mentors students across project development, publication strategy, and technology transfer.

Conclusion

Dr. Jiaxin Zhang is undoubtedly a top-tier candidate for the Research for Best Researcher Award. His contributions span deep academic insight, groundbreaking innovation, policy-level impact, and mentorship of future scientific leaders. He stands as a role model in the fields of aerospace communications, AI-driven networking, and satellite-terrestrial integration. With a portfolio combining visionary thinking, technical expertise, and educational influence, Dr. Zhang fulfills and exceeds the expectations of this prestigious award.

Publications to Noted

📘 SDN-Enabled Multi-Edge Access and Cache Strategy in Satellite Terrestrial Integrated Networks

Authors: Jiaxin Zhang; Yilong Zhang; Xing Zhang; Wenbo Wang; Yue Cao
Journal: IEEE Transactions on Consumer Electronics
Year: 2025

🌐 Performance Analysis of Cross-Tier Routing Strategy in Multitier LEO Satellite Constellation

Authors: Yilong Zhang; Jiaxin Zhang; Xing Zhang; Wenbo Wang
Journal: IEEE Internet of Things Journal
Publication Date: May 15, 2025

📶 Traffic-Aware Resource Management of Beam Hopping in Satellite-Enabled Internet of Things

Authors: Shuang Zheng; Xing Zhang; Jiaxin Zhang; Peng Wang; Wenbo Wang
Journal: IEEE Internet of Things Journal
Year: 2024
Citations: Citation count not found (released in 2024)

🔄 Convergence of Satellite and Terrestrial Networks: A Comprehensive Survey

Authors: Peng Wang; Jiaxin Zhang; Xing Zhang; Zhi Yan; Barry G. Evans; Wenbo Wang
Journal: IEEE Access
Year: 2020

🧠 Deep Reinforcement Learning–Based Mobility‑Aware Robust Proactive Resource Allocation in Heterogeneous Networks

Authors: Jing Li; Xing Zhang; Jiaxin Zhang; Jie Wu; Qi Sun; Yuxuan Xie
Journal: IEEE Transactions on Cognitive Communications and Networking
Publication Date: March 2020

♻️ Cache‑Enabled Software Defined Heterogeneous Networks for Green and Flexible 5G Networks

Authors: Jiaxin Zhang; Xing Zhang; Wenbo Wang
Journal: IEEE Access
Year: 2016

Mr. Chengrui Zhou | Wireless Communication | Best Researcher Award

Chengrui Zhou, School of Information Science and Technology Nantong University Nantong, China

Mr. Chengrui Zhou is a highly motivated postgraduate student at the School of Information Science and Technology, Nantong University, China. With a strong passion for cutting-edge wireless communication systems, his research focuses on Simultaneous Wireless Information and Power Transfer (SWIPT), Integrated Sensing and Communications (ISAC), MIMO systems, and optimization theory. Chengrui has already co-authored impactful research articles published in top-tier journals such as IEEE Transactions on Communications and Entropy. His analytical mindset and proficiency in optimization algorithms make him a rising talent in the field of next-generation wireless networks. Through rigorous academic training and collaborative research, he aims to contribute solutions for energy-efficient and intelligent IoT systems. He represents the new wave of researchers who bridge theory with real-world applications.

professional profile

ORCID

Education

Chengrui Zhou is currently pursuing his Master of Science (M.S.) degree in Information Science and Technology at Nantong University, Nantong, China. His academic background is rooted in electrical engineering and communication systems, with a growing emphasis on wireless power transfer and green IoT technologies. During his postgraduate studies, he has cultivated a deep interest in emerging technologies such as SWIPT, ISAC, and nonlinear energy harvesting models. His curriculum blends advanced coursework in wireless communication, signal processing, and optimization theory with hands-on research experience. Chengrui is well-versed in scientific computing tools and mathematical modeling, contributing to his ability to solve real-world network design problems. He continues to excel academically while working on forward-looking projects that align with industry demands and global sustainability goals.

work Experience

While still in academia, Chengrui Zhou has amassed impressive research experience through active collaboration with his peers and professors on various innovative projects. He has contributed to energy efficiency enhancement techniques in wireless-powered cell-free mMIMO systems under hardware impairments and Rician fading conditions. Chengrui has also worked on layered optimization models involving Power Splitting Users (PSUs) and Time Switching Users (TSUs) in IoT networks. His involvement includes applying semi-definite relaxation and successive convex approximation methods for performance optimization. Additionally, he has hands-on experience with simulation platforms like MATLAB and Python for algorithm verification. While he does not yet have formal industrial roles, Chengrui’s research provides real-world relevance and technical rigor akin to industry standards. His consistent engagement in scholarly publication and algorithmic experimentation showcases his growing expertise and adaptability in the ever-evolving field of wireless communications.

Research Focus

Chengrui Zhou’s research explores energy-efficient wireless communication networks, primarily focusing on SWIPT, ISAC, and MIMO technologies. He specializes in integrating nonlinear energy harvesting models with joint sensing and communication systems, tackling challenges in power allocation, resource optimization, and signal reliability. Chengrui’s work stands at the intersection of communication theory and practical deployment, emphasizing green IoT architectures and hardware-impaired environments. He employs advanced mathematical techniques like semi-definite programming and successive convex approximation to devise optimal solutions that reduce power consumption while enhancing system performance. His work has implications for both academic exploration and real-world applications in smart cities, autonomous systems, and low-power networks. Chengrui continues to refine his algorithms and analytical models, aiming to contribute to the global effort of sustainable wireless connectivity.

Conclusion

Chengrui Zhou is a highly promising candidate for the Research for Best Researcher Award. Despite being at an early career stage, his achievements surpass typical expectations for a Master’s student. His research addresses pressing technological challenges and introduces innovative solutions with practical relevance. With continued progress in patents and collaboration, he could become a leading figure in next-generation wireless systems research.

Publications to Noted

📘 1. Transmit Power Optimization for Simultaneous Wireless Information and Power Transfer-Assisted IoT Networks with Integrated Sensing and Communication and Nonlinear Energy Harvesting Model

Journal: Entropy
Publication Date: April 24, 2025
Authors: Chengrui Zhou, X. Wang, Y. Dou, X. Chen

📗 2. Energy Efficiency of Wireless-Powered Cell-Free mMIMO With Hardware Impairments

Journal: IEEE Transactions on Communications
Publication Date: July 2024
Authors: X. Chen, Chengrui Zhou, Z. Wang, T. Zhao, Q. Sun, C. Xu, J. Zhang

Jiaxin Zhang | Satellite | Best Researcher Award

Dr. Jiaxin Zhang | Satellite | Best Researcher Award

Professional Profile

Education

Work Experience

🏆 Awards & Honors

Research Focus

Skills

Conclusion

Publications to Noted

Chengrui Zhou | Wireless Communication | Best Researcher Award

Mr. Chengrui Zhou | Wireless Communication | Best Researcher Award

professional profile

Education

work Experience

Research Focus

Conclusion

Publications to Noted

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