Assistant Professor at Beijing Forestry University, China
Dr. Xin Fan is an Assistant Professor at the School of Information Science and Technology, Beijing Forestry University, Beijing, China. He has a strong academic background, having completed his B.E., M.E., and Ph.D. in Electronic and Information Engineering at Beijing Jiaotong University. His expertise spans wireless communications, machine learning, security and privacy, optimization, statistical signal processing, and blockchain technologies. With a visiting research experience at George Mason University, Dr. Fan has made significant contributions to edge intelligence through innovative joint optimization methods for wireless communication and airborne federated learning.
Publication Profile
Scopus
Educational Background 🎓
- Bachelor’s Degree (B.E.): Electronic and Information Engineering, Beijing Jiaotong University, China (2016)
- Master’s Degree (M.E.): Electronic and Information Engineering, Beijing Jiaotong University, China (2018)
- Doctoral Degree (Ph.D.): Electronic and Information Engineering, Beijing Jiaotong University, China (2023)
- Visiting Ph.D. Student: Electrical and Computer Engineering, George Mason University, USA (2020-2022)
Professional Experience 💼
- Assistant Professor: School of Information Science and Technology, Beijing Forestry University, Beijing, China.
- Guest Editor: Electronics Journal.
- IEEE MILCOM Technical Program Committee (TPC) Member.
- Participated in five consultancy/industry projects and completed nine research projects.
Research Interests 🔬
- Wireless communications
- Machine learning
- Security and privacy
- Optimization
- Statistical signal processing
- Blockchain
Awards and Honors🏆✨
- Nominee for the “Best Researcher Award” at the Global Innovation Technologist Awards.
- IEEE Member and IEEE Communication Society Member.
- CIC (China Institute of Communications) Member and CIE (Chinese Institute of Electronics) Member.
Contributions
Dr. Xin Fan has significantly advanced the field of wireless communications and machine learning. His work focuses on proposing joint optimization methods for wireless communication and airborne federated learning, promoting edge intelligence. He has authored 19 SCI-indexed journal papers and numerous conference publications in prestigious platforms such as IEEE IoT-J, IEEE TWC, IEEE TCCN, IEEE ICC, and IEEE Globecom. He has also contributed to nine patents, demonstrating his commitment to innovation.
Conclusion🌟
Dr. Xin Fan is a dedicated researcher and academic with a robust background in wireless communications and machine learning. His innovations in joint optimization and edge intelligence highlight his contributions to advancing technology in wireless communication systems. With 445 citations, editorial appointments, and memberships in prestigious professional organizations, Dr. Fan continues to make a lasting impact in his field.
Publications 📚
📄 Article in Press
Self-Learning Based Dependable Offloading Optimization in Semi-Trusted Vehicular Edge Computing and Networks
Li, X., Jing, T., Li, R., … Huo, Y., Yu, F.R.
📕 IEEE Transactions on Vehicular Technology, 2025
🔗 Abstract: [Unavailable]
🔗 Related Documents: [Unavailable]
🔢 Citations: 0
📘 Conference Paper
3D Physical Layer Secure Transmission for UAV-Assisted Mobile Communications Without Locations of Eavesdroppers
Yu, W., Li, J., Fan, X., … Hong, Y., Chen, T.
📕 Lecture Notes in Computer Science (LNCS), 2025, 14998 LNCS, pp. 355–366
🔗 Abstract: [Unavailable]
🔗 Related Documents: [Unavailable]
🔢 Citations: 0
🌐 Open Access Article
CB-DSL: Communication-Efficient and Byzantine-Robust Distributed Swarm Learning on Non-i.i.d. Data
Fan, X., Wang, Y., Huo, Y., Tian, Z.
📕 IEEE Transactions on Cognitive Communications and Networking, 2024, 10(1), pp. 322–334
🔗 Abstract: [Unavailable]
🔗 Related Documents: [Unavailable]
🔢 Citations: 4
📄 Article
UAV-Assisted Multi-Object Computing Offloading for Blockchain-Enabled Vehicle-to-Everything Systems
Chen, T., Wang, S., Fan, X., … Luo, C., Hong, Y.
📕 Computers, Materials and Continua, 2024, 81(3), pp. 3927–3950
🔗 Abstract: [Unavailable]
🔗 Related Documents: [Unavailable]
🔢 Citations: 0
📄 Article in Press
DT-Driven Computation Offloading for Edge Computing in IIoT with RIS-Assisted Multi-UAVs
Luo, C., Zhao, S., Sun, Q., … Sun, G., Zhang, L.
📕 IEEE Internet of Things Journal, 2024
🔗 Abstract: [Unavailable]
🔗 Related Documents: [Unavailable]
🔢 Citations: 0
🔒 Secure Transmission Article
Secure Transmission Scheme for Blocks in Blockchain-Based Unmanned Aerial Vehicle Communication Systems
Chen, T., Jiang, S., Fan, X., … Luo, C., Hong, Y.
📕 Computers, Materials and Continua, 2024, 81(2), pp. 2195–2217
🔗 Abstract: [Unavailable]
🔗 Related Documents: [Unavailable]
🔢 Citations: 0
📑 Article
Two-Stage Offloading for Enhancing Distributed Vehicular Edge Computing and Networks: Model and Algorithm
Li, X., Jing, T., Wang, X., … Li, X., Richard Yu, F.
📕 IEEE Transactions on Intelligent Transportation Systems, 2024, 25(11), pp. 17744–17761
🔗 Abstract: [Unavailable]
🔗 Related Documents: [Unavailable]
🔢 Citations: 2
🎓 Conference Paper
GANFed: GAN-Based Federated Learning with Non-IID Datasets in Edge IoTs
Fan, X., Wang, Y., Zhang, W., … Cai, Z., Tian, Z.
📕 IEEE International Conference on Communications, 2024, pp. 5443–5448
🔗 Abstract: [Unavailable]
🔗 Related Documents: [Unavailable]
🔢 Citations: 0
🌟 Open Access Article
Distributed Swarm Learning for Edge Internet of Things
Wang, Y., Tian, Z., Fan, X., … Nowzari, C., Zeng, K.
📕 IEEE Communications Magazine, 2024, 62(11), pp. 160–166
🔗 Abstract: [Unavailable]
🔗 Related Documents: [Unavailable]
🔢 Citations: 2
📚 Conference Paper
1-Bit Compressive Sensing for Efficient Federated Learning Over the Air
Fan, X., Wang, Y., Huo, Y., Tian, Z.
📕 IEEE Transactions on Wireless Communications, 2023, 22(3), pp. 2139–2155
🔗 Abstract: [Unavailable]
🔗 Related Documents: [Unavailable]
🔢 Citations: 16