Xuewen Dong | Network Security | Best Researcher Award

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Prof. Xuewen Dong | Network Security | Best Researcher Award

Professor at Xidian University | China

Professor Xuewen Dong is a distinguished scholar recognized for his influential contributions to wireless network security, AI security, and service intelligence, playing a pivotal role in advancing secure and intelligent computing technologies. His research spans a wide spectrum of critical domains, including mobile edge computing, blockchain scalability, adversarial machine learning, differential privacy, federated learning, and large-scale distributed systems. Through his extensive publication record in leading international journals and premier global conferences, he has consistently delivered innovative solutions that address emerging challenges in data privacy, intelligent connectivity, and trustworthy AI. His work on autonomous aerial vehicle–assisted computing, backdoor attack modeling, privacy-attack frameworks, and high-performance blockchain mechanisms demonstrates a unique ability to merge theoretical rigor with practical applicability, contributing significantly to the evolution of next-generation digital ecosystems. Beyond his research achievements, he is widely respected for his leadership within the academic community, offering strategic guidance, fostering collaborative research environments, and supporting interdisciplinary advancements across intelligent security technologies. His roles in major research centers and professional committees highlight his dedication to shaping technological development, mentoring the next generation of innovators, and strengthening global standards in secure computing practices. Over the course of his accomplished career, he has earned multiple prestigious recognitions for technological innovation, excellence in computing research, contributions to regional software development, and impactful guidance in academic competitions. These honors reflect his enduring influence and the far-reaching impact of his work across the fields of computer science and intelligent systems. With a strong commitment to scientific progress, innovation, and the responsible advancement of digital technologies, Professor Dong continues to be a driving force in the global pursuit of secure, adaptive, and intelligent computational infrastructures.

Profile: Google Scholar

Featured Publications

Tong, W., Dong, X., & Zheng, J. (2019). Trust-PBFT: A peer-trust-based practical Byzantine consensus algorithm.

Tong, W., Dong, X., Shen, Y., & Jiang, X. (2019). A hierarchical sharding protocol for multi-domain IoT blockchains.

Dong, X., Wu, F., Faree, A., Guo, D., Shen, Y., & Ma, J. (2019). Selfholding: A combined attack model using selfish mining with block withholding attack.

Yang, L., Dong, X., Xing, S., Zheng, J., Gu, X., & Song, X. (2019). An abnormal transaction detection mechanism on Bitcoin.

Gao, S., Chen, X., Zhu, J., Dong, X., & Ma, J. (2022). TrustWorker: A trustworthy and privacy-preserving worker selection scheme for blockchain-based crowdsensing.

Chaojin Qing | Wireless Communication Systems | Best Researcher Award

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Prof. Chaojin Qing | Wireless Communication Systems | Best Researcher Award

Teacher at Xihua University, China

Chaojin Qing is a distinguished professor at the School of Electrical Engineering and Electronic Information at Xihua University, China. With a solid foundation in wireless communications and a progressive career spanning over two decades, he has contributed significantly to AI-driven wireless system innovations. He has held prominent academic and research roles and is widely recognized for his groundbreaking work in the areas of OFDM systems, channel estimation, timing synchronization, and CSI feedback. Qing’s career reflects an exceptional blend of academic depth and practical innovation, positioning him as a leader in the field of intelligent wireless communication technologies.

Profile

Orcid

Education

Chaojin Qing earned his Ph.D. from the National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China (UESTC) in 2011, focusing on advanced communication systems. Prior to this, he completed his M.S. in Communication and Information Engineering at UESTC in 2006 and obtained his B.S. in Communication Engineering from Chengdu University of Information Technology in 2001. His academic training has been instrumental in shaping his career, providing him with the technical expertise and research acumen necessary to excel in the dynamic fields of wireless communications and signal processing.

Experience

Professor Qing began his academic journey as a lecturer at Chengdu University of Information Technology from 2001 to 2004. He then pursued postdoctoral research at UESTC, working on advanced wireless communication challenges. Since 2011, he has served at Xihua University, advancing from professor to leading researcher. Notably, he was a visiting scholar at the University of Waterloo, Canada, from 2015 to 2016, where he collaborated with global experts in broadband communications. Over the years, Qing has led numerous national and provincial research initiatives and has developed a vibrant research group at Xihua University, fostering talent and innovation in wireless technologies.

Research Interest

Qing’s research is rooted in wireless networks and communications, with a significant emphasis on how artificial intelligence can enhance physical-layer wireless communication systems. His primary areas of focus include 5G/6G new radio (NR), Wi-Fi 7, broadband satellite communication, and AI-driven reconfigurable intelligent surfaces (RIS). He also explores micro-energy-powered IoT systems, UAV communication technologies, integrated sensing and communication (ISAC), and symbiotic radio (SR). His work extends into intelligent hardware and embedded system design, particularly FPGA-based solutions, supporting the digital transformation of various industries through AI-empowered system upgrades.

Award

Professor Qing has earned wide recognition for his contributions to wireless communication research and AI-integrated systems. He has received funding from the National Natural Science Foundation of China, the Ministry of Education, and multiple provincial departments for over 30 major research projects. His innovations have led to numerous patents granted in China across synchronization, channel estimation, and AI-based communication methods. These accolades reflect not only the technical novelty of his work but also its practical impact on industrial and academic communities alike.

Publication

Chaojin Qing has published over 100 research papers, with several high-impact contributions in recent years. Notable examples include:

  1. Qing et al., “Sensing-assisted CSI Feedback by Leveraging Communication Echoes,” Signal Processing, May 2025 – This work proposes a novel feedback method using signal reflections for improved channel state estimation.

  2. Qing et al., “Two-Stage Cascaded Speech Enhancement by Exploiting Magnitude and Phase Optimization,” Circuits, Systems, and Signal Processing, May 2025 – Presents an advanced dual-stage enhancement method for robust speech signal processing.

  3. Qing et al., “A Low-Complexity Sensing-aided Timing Synchronization Method for UAV-Assisted OFDM Systems,” IEEE Wireless Communications Letters, vol. 14, no. 3, Mar. 2025 – Introduces an efficient synchronization technique for aerial communication.

  4. Wang et al. (with Qing), “Sensing Information-assisted CSI Feedback,” IEEE Communications Letters, vol. 29, no. 2, Feb. 2025 – Examines sensing-integrated feedback strategies for next-gen networks.

  5. Qing et al., “Channel Estimation in OTFS Systems by Leveraging Differential Modulation,” IEEE Transactions on Vehicular Technology, Dec. 2024 – Focuses on enhanced estimation in time-variant channels.

  6. Qing et al., “GatS-Net: GAT-based Superimposed CSI Feedback,” IEEE Transactions on Green Communications and Networking, vol. 9, no. 2, Jun. 2025 – Develops a graph-attention-based network for efficient feedback.

  7. Qing et al., “Sensing-aided Channel Estimation in OFDM Systems by Leveraging Communication Echoes,” IEEE Internet of Things Journal, vol. 11, no. 23, Dec. 2024 – Presents a sensing-enhanced method for OFDM channel analysis.
    These publications have been cited in numerous peer-reviewed journals and conference proceedings, underscoring their impact on wireless communication research and applications.

Conclusion

Chaojin Qing’s academic journey and research trajectory exemplify excellence in wireless communication systems empowered by artificial intelligence. Through his leadership at Xihua University and active collaboration with global institutions, he has pioneered methods that bridge theory and application. His research contributes to the evolution of next-generation wireless networks, positioning him as a significant figure in both academic and industrial circles. With sustained contributions across AI-integrated communication, IoT, and UAV systems, Professor Qing remains at the forefront of innovation in modern digital communication technologies.