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Bo MaLecturer | |
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Discipline: Post: Research direction: Tutors Categories: GraduateSchool: Office Tel: Location: PostCode: Email: |
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Bo MaLecturer | |
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Discipline: Post: Research direction: Tutors Categories: GraduateSchool: Office Tel: Location: PostCode: Email: |
Bo Ma received the bachelor’s degree in automatic control engineering from Southeast University, China, in 2014, and the M.Sc. degree (Hons.) in communication and signal processing from Newcastle University, U.K., in 2016. In 2021, he received the Ph.D. degree in wireless systems with the Department of Electronic and Electrical Engineering, The University of Sheffield, U.K. In the same year, he joined the School of Information and Electrical Engineering (Sussex Artificial Intelligence Institute), Zhejiang Gongshang University, China, as a lecture. His main research interests include proactive network optimization, UAV communications, and machine learning algorithms in 5G networks. For more information related to education, work experience, and honors, please visit his LinkedIn webpage: https://www.linkedin.com/in/bo-ma-555a30ba
IEEE personal page： https://ieeexplore.ieee.org/author/37087239360
Google Scholar: https://scholar.google.com/citations?user=Of3da04AAAAJ&h
[1] B. Ma, J. Zhang, Z. Zhang and J. Zhang, Time-Efficient Joint UAV-BS Deployment and User Association Based on Machine Learning, in IEEE Internet of Things Journal, vol. 10, no. 14, pp. 13077-13094, 15 July, 2023.
[2] B. Ma, H. Kuang, S. Liu, and C. Li, “UAV assisted cellular network traffic offloading: Joint swarm, 3D deployment, and user allocation optimization based on a data-aware method,” Computer Networks, vol. 231, p. 109812, 2023.
[3] B. Ma, Q. Lu, X. Fang, J. Liao, H. Liu, Z. Chen, and C. Li, “ARGCN: An intelligent prediction model for SDN network performance,” Peer-to-Peer Network Application, 2024.
[4] B. Ma, B. Yang, Z. Zhang and J. Zhang, Modelling Mobile Traffic Patterns Using A Generative Adversarial Neural Networks, NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium, Budapest, Hungary, 2020, pp. 1-7.
[5] B. Ma, W. Guo and J. Zhang, A Survey of Online Data-Driven Proactive 5G Network Optimisation Using Machine Learning, in IEEE Access, vol. 8, pp. 35606-35637, 2020.
[6] B. Ma, B. Yang, Y. Zhu and J. Zhang, Context-Aware Proactive 5G Load Balancing and Optimization for Urban Areas, in IEEE Access, vol. 8, pp. 8405-8417, 2020.
[7] T. Hu，Y. Wang，B. Ma，Zhang, J. Orbit Angular Momentum MIMO with Mode Selection for UAV-Assisted A2G Networks. Sensors 2020, 20, 2289.
[8] C. Chen, Z. Wu, X. Yu, B. Ma, and C. Li, “Intelligent deep reinforcement learning-based scheduling in relay-based HetNets,” EURASIP J. Wirel. Commun. Netw., vol. 2023, no. 1, p. 116, 2023.
[9] R. Xie, X. Fang, B. Ma, C. Li, Yuan, X. (2024). TRGE: A Backdoor Detection After Quantization. In: Ge, C., Yung, M. (eds) Information Security and Cryptology. Inscrypt 2023. Lecture Notes in Computer Science, vol 14527. Springer, Singapore.
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