Guangdong University of Technology, China
Xiwen Zhang is an emerging researcher from China, currently pursuing his Master’s degree in Information and Communication Engineering at Guangdong University of Technology. With a strong academic foundation in Information Engineering, Xiwen has demonstrated exceptional capability through innovative research, publications, and granted patents. He has actively led multiple national-level undergraduate research projects and contributed significantly to the development of biomedical signal processing methods, including novel encryption techniques and mental state stimulation devices. Xiwen is a reviewer for the prestigious IEEE Transactions on Consumer Electronics and has been recognized with the National Scholarship in 2022 for his academic excellence. His work is distinguished by its interdisciplinary approach, combining communication systems, signal processing, encryption, and biomedical applications. Passionate about advancing medical technology through secure and efficient data processing, Xiwen continues to explore cutting-edge solutions that contribute to both academic and practical advancements in the field of biomedical signal processing.
Professional profile
Education
Xiwen Zhang’s educational journey is rooted at Guangdong University of Technology, where he has cultivated a deep understanding of information and communication systems. He earned his Bachelor of Engineering in Information Engineering (2019–2023), where he developed a strong technical background and an interest in biomedical signal processing and secure data transmission. Building on this foundation, he is currently pursuing his Master of Engineering in Information and Communication Engineering (2023–Present). Throughout his academic path, Xiwen has shown exceptional initiative, leading multiple research projects funded by national innovation programs. His education not only emphasizes theoretical knowledge but also hands-on innovation, evident in his patent achievements and software development. Xiwen’s academic rigor and practical exposure have positioned him as a promising researcher who integrates engineering principles with biomedical applications to solve complex, real-world problems, particularly in the areas of biomedical encryption and brain signal analysis.
Experience
Xiwen Zhang’s experience spans research, innovation, and professional service in the domain of information engineering and biomedical signal processing. He has actively participated in and led key national research projects, including the National Undergraduate Training Program for Innovation and Entrepreneurship in both 2021 and 2022. His leadership in these projects reflects his ability to manage teams, develop innovative solutions, and secure competitive funding. In 2023, he further contributed to the Guangdong Province Science and Technology Innovation Special Climb Plan. Professionally, Xiwen has served as a reviewer for the IEEE Transactions on Consumer Electronics in 2025, showcasing his involvement in the global academic community and commitment to scientific excellence. His work also includes the development of patented biomedical technologies and software systems, such as EEG signal extraction methods and flight control systems. Xiwen’s multifaceted experience underscores his potential to make meaningful contributions to biomedical engineering and signal processing.
Research Focus
Xiwen Zhang’s research focus lies at the intersection of biomedical signal processing, secure communication, and intelligent systems. He specializes in developing advanced encryption techniques for biomedical data, ensuring multi-party collaborative environments maintain data integrity and privacy. His work introduces chaotic filter bank networks and singular spectrum analysis to enhance the security and efficiency of biomedical signal transmission. Xiwen is particularly interested in extracting meaningful data from quaternion EEG signals and creating devices capable of inducing mental states through microcurrent stimulation. His research addresses critical challenges in data security, neural signal interpretation, and non-invasive stimulation technologies. By integrating engineering principles with biomedical applications, he aims to develop solutions that are not only theoretically robust but also practically applicable in healthcare and neuroscience. Xiwen’s interdisciplinary approach positions him at the forefront of developing next-generation tools for secure, reliable, and efficient biomedical signal processing.
Publication Top Notes
Title: Multi-Party Verifiably Collaborative Encryption for Biomedical Signals via Singular Spectrum Analysis-Based Chaotic Filter Bank Networks
Authors: Xiwen Zhang, Jianfeng He, Wing-Kuen Ling
Journal: Sensors
Year: 2025
Volume: 25, Issue: 12, Page: 3823
DOI: 10.3390/s25123823
Summary:
This paper introduces a novel encryption framework tailored for biomedical signals, enabling secure, multi-party collaborative processing while maintaining verification integrity. The method integrates singular spectrum analysis with chaotic filter bank networks to achieve a robust, high-security system capable of handling sensitive biomedical data, such as EEG signals. The proposed system ensures not only data confidentiality but also computational efficiency, making it practical for real-world biomedical applications.
Conclusion
Xiwen Zhang demonstrates excellent potential and significant early achievements in the field of information engineering and biomedical signal processing. His interdisciplinary research, innovation through patents, leadership in funded projects, and contribution as a reviewer position him as a strong candidate for the Best Researcher Award, particularly in the emerging researcher or young researcher category.