个人简介：
马嫄，现任深圳大学电子与信息工程学院长聘副教授、博士生导师。2013年获北京邮电大学学士学位，2017年获英国伦敦大学玛丽女王学院工学博士学位。入选中国科协第六届“青年人才托举工程”、广东省教育厅青年创新人才、深圳市“孔雀计划”海外高层次人才。
长期致力于空天地一体化智能信息网络、空间频谱态势感知与信号识别等方向的研究。作为项目负责人，先后主持了国家自然科学基金、科技部重点研发计划子课题、广东省自然科学基金、深圳市重点产业研发计划等十余项科研项目。在IEEE JSAC, TWC, TMC, TCCN等信息通信领域权威期刊与会议上累计发表论文60余篇，其中以第一/通讯作者发表35篇，出版学术专著1部，获授权及申请国内外发明专利10余项。相关科研成果先后荣获中国通信学会自然科学一等奖、中国通信学会技术发明一等奖、《通信与信息网络学报》最佳期刊论文奖、GBSense Challenge二等奖等。曾担任IEEE通信学会认知网络技术委员会(IEEE Technical Committee on Cognitive Networks)副主席。现任《通信与信息网络学报(JCIN)》编委、IET Communications编委，以及中国通信学会英国工委会委员等。多次担任IEEE Globecom等通信旗舰会议研讨会主席(Symposium Chair)，并于2018至2020年连续三年荣获IEEE Wireless Communications Letters期刊模范审稿人称号。
研究兴趣：
空天地一体化智能信息网络、空间频谱态势感知与智能信号识别等
研究生招生：
招生方向：学术型硕士（信息与通信工程）、专业型硕士（通信工程）、学术型博士（信息与通信工程）、博士后。
欢迎对智能无线通信感兴趣的同学咨询，也欢迎对科研、大创等感兴趣的本科生加入！
荣誉奖励：
1.2025年，中国通信学会自然科学一等奖（序4）
2.2022年，国际GBSense Challenge 二等奖（序1）
3.2021年，中国科协第六届青年托举人才
4.2021年，《通信与信息网络学报》最佳期刊论文奖（序1）
5.2020年，中国通信学会技术发明一等奖
6.2020年，深圳市优秀科技创新人才
7.2018年，深圳“孔雀计划”海外高层次人才C类
8.2013年，College Prize, London University
学术服务：
IEEE通信学会认知网络技术委员会(IEEE ComSoc Technical Committee on Cognitive Networks, TCCN)副主席(2023-2024)、IEEE通信旗舰会议Globecom研讨会主席(Symposium Chair)、《通信与信息网络学报(JCIN)》编委、IET Communications编委等，多次担任IEEE ICC、Globecom、WCNC等通信旗舰会议的技术委员会委员，在2018-2020年连续三年获得IEEE Wireless Communications Letters期刊模范审稿人称号。
代表性论文：(#表示为所指导学生)
[1]Yiling Zheng#, Y. Ma*, X. Zhang, X. Cao, and Y. Gao, “Adaptive Blind Background Timing Mismatch Calibration for Sub-Nyquist Wideband Sampling,” IEEE Wireless Communications Letters, vol. 15, pp. 2939-2943, 2026. (IF：5.5)
[2] Nan Huang#, Y. Ma*, X. Zhang, C. He, and C. Zhang, “Data-Driven Near-Field Beam Training and Off-Grid Optimization Scheme.” Journal of Communications and Information Networks, Vol. 11, No. 1, pp. 62-71, Mar. 2026.
[3] Xianping Qin#, Y. Ma*, et al., “Multi-aspect Robust Adaptive Streaming Tensor Completion for Space-based Spectrum Situation Map Construction,” IEEE Conference on Computer Communications (INFOCOM) Workshops, Tokyo, Japan, Feb. 2026.
[4] Jinshuai Yang#, R. Xiao, Y. Ma*, X. Zhang, “Robust Streaming Tensor Train Completion for Dynamic Space-based Spectrum Situation Map Construction,” IEEE International Conference on Communications, Jan. 2026.
[5] Q. Zhang et al., “Direct satellite-to-device communications: Technical routes, architecture, and enabling technologies”, SCIENCE CHINA Information Sciences, vol. 69, no. 1, p.121301, Jan. 2026. (中科院1区，IF：7.3)
[6] Y. Ma, Ruifeng Xiao#, X. Zhang, S. Zhang, Y. Gao, and W. Zhang, “Space-based Multi-dimensional Spectrum Situation Awareness: A Robust Streaming Tensor Subspace Tracking Approach,” IEEE Transactions on Mobile Computing, vol. 25, no. 4, pp. 4602-4617, 2025. (中科院1区，Top期刊，IF：9.2)
[7] X. Zhang, X. Zheng, Y. Ma*, et.al., “Multi-Scale Spatio-Temporal Representation-Based 3D Long-Term Spectrum Prediction,” IEEE Transactions on Cognitive Communications and Networking, Apr. 2025. (中科院1区，Top期刊，IF：7.4)
[8] Y. Ma, Yiling Zheng#, et.al., “Data-Driven Digital Adaptive Timing Mismatch Calibration for Sub-Nyquist Wideband Sampling,” IEEE Transactions on Cognitive Communications and Networking, Apr. 2025. (中科院1区，Top期刊，IF：7.4)
[9] X. Zhang, P. Wang, Y. Ma*, et.al., “M2-Net: Multi-task Learning-Based Multi-band Signal Recognition Network,” IEEE Internet of Things Journal, Jan. 2025. (中科院1区，Top期刊，IF：8.9)
[10] Ruifeng Xiao#, Y. Ma*, et.al., “Robust Time-Aware Streaming Tensor Completion Algorithm for Space-based Spectrum Situation Map Construction” IEEE Infocom, Jan. 2025. (CCF-A)
[11] X. Zheng#, X. Zhang, Y. Ma, et.al., “Autoencoder-Based Deep Learning Approach for 3D Spectrum Completion and Prediction,” in Proc. IEEE Global Communication Conference (GLOBECOM’24), South Africa, Cape Town, Dec. 2024.
[12] P. Wang#, X. Zhang, Y. Ma, et.al., “MTL-SRN: Multi-task Learning-based Signal Recognition Network,” in Proc. IEEE Global Communication Conference (GLOBECOM’24), South Africa, Cape Town, Dec. 2024.
[13] Yanpeng Hou#, Y. Ma*, X. Zhang, “Multi-Satellite Collaborative Compressive Sensing Method based on Walk-Incremental Strategy”, ZTE Communications, Oct. 2024.
[14] Xiao Deng#, Y. Ma*, X. Zhang, and H. Zhu, “CBAM-based Neural Network for Enhanced IQ Imbalance Estimation in Low Signal-to-Noise Ratio Environments,” in Proc. IEEE International Conference on Communications (ICC’24) , Jun. 2024.
[15] Hao Zhu#, Y. Ma*, X. Zhang, and C. Hao, “Adaptive Denoising With Efficient Channel Attention for Automatic Modulation Recognition,” in Proc. IEEE International Conference on Communications (ICC’24) , Jun. 2024.
[16] X. Zhang, Y. Ma*, Y. Liu, et.al., “Robust DNN-based Recovery of Wideband Spectrum Signals,” IEEE Wireless Communications Letters, accepted, Jun. 2023. (中科院2区，IF：5.281)
[17] Y. Ma, S. Ren, Z. Quan, and Z. Feng, “Data-Driven Hybrid Beamforming for Uplink Multi-User MIMO in Mobile Millimeter-Wave Systems,” IEEE Transactions on Wireless Communications, vol. 21, no. 11, pp. 9341-9350, Nov. 2022. (中科院1区，Top期刊，IF：8.346)
[18] Y. Ma, S. Ren, W. Chen, and Z. Quan, “Data-Driven Beam Tracking for Mobile Millimeter-Wave Communication Systems without Channel Estimation,” IEEE Wireless Communications Letters, vol. 10, no. 12, pp. 2747-2751, Dec. 2021. (中科院2区，IF: 5.281)
[19] R. Liu#, Y. Ma*, et.al., “Deep-Learning based Spectrum Sensing in Space-Air-Ground Integrated Networks”, Journal of Communications and Information Networks, Vol. 6, No. 1, pp. 23-31, Mar. 2021.
[20] O. Elnahas#, Y. Ma, Y. Jiang, and Z. Quan, “Clock Synchronization in Wireless Networks using Matrix Completion based Maximum Likelihood Estimation”, IEEE Transactions on Wireless Communications, vol. 19, no. 12, pp. 8220-8231, Dec. 2020. (中科院1区，Top期刊，IF：8.346)
[21] Y. Ma, et.al., “Optimal Linear Cooperation for Signal Classification in Cognitive Communication Networks,” IEEE Transactions on Wireless Communications, vol. 19, no. 5, pp. 3144-3155, May 2020. (中科院1区，Top期刊，IF：8.346)
[22] Y. Ma, Z. Quan, D. Li, and B. Zhang, “Minimizing Misclassification for Cooperative Spectrum Sensing using M-ary Hypothesis Testing,” IEEE Transactions on Vehicular Technology, vol. 68, no. 8, pp. 8210-8215, Aug. 2019. (中科院2区，Top期刊，IF: 6.239)
[23] Y. Ma, Y. Gao, et.al., “TV White Space Spectrum Analysis based on Machine Learning,” Journal of Communications and Information Networks, Vol. 4, No. 2, pp. 23-35, Jun. 2019. (Best Paper Award)
[24] Y. Ma, X. Wang, Z. Quan, and H. V. Poor, "Data-Driven Measurement of Receiver Sensitivity in Wireless Communication Systems," IEEE Transactions on Communications, vol. 67, no. 5, pp. 3665-3676, May 2019. (中科院2区，Top期刊，IF: 6.166)
[25] X. Zhang, Y. Ma*, Y. Gao, and W. Zhang, “Autonomous Compressive Sensing Augmented Spectrum Sharing,” IEEE Transactions on Vehicular Technology, vol. 67, no. 8, pp. 6970-6980, Aug. 2018. (中科院2区，Top期刊，IF: 6.239)
[26] Y. Ma, X. Zhang, and Y. Gao, “Joint Sub-Nyquist Spectrum Sensing Scheme with Geolocation Database over TV White Space,” IEEE Transactions on Vehicular Technology, vol. 67, no. 5, pp. 3998-4007, May 2018. (中科院2区，Top期刊，IF: 6.239)
[27] X. Zhang, Y. Ma*, Y. Gao, and S. Cui, “Real-time Adaptively Regularized Compressive Sensing in Cognitive Radio Networks,” IEEE Transactions on Vehicular Technology, vol. 67, no. 2, pp. 1146-1157, Feb. 2018. (中科院2区，Top期刊，IF: 6.239)
[28] X. Zhang, Y. Ma*, H. Qi, and Y. Gao, “Low-Complexity Compressive Spectrum Sensing for Large-Scale Real-Time Processing,” IEEE Wireless Communications Letters, vol. 7, no. 4, pp. 674-677, Aug. 2018. (中科院2区)
[29] X. Zhang, Y. Ma, Y. Gao, et al., "Distributed Compressive Sensing Augmented Wideband Spectrum Sharing for Cognitive IoT," IEEE Internet of Things Journal, vol. 5, no. 4, pp. 3234-3245, Aug. 2018. (中科院1区，IF：9.515)
[30] Y. Ma, Y. Gao, A. Cavallaro, C. G. Parini, W. Zhang, and Y.-C. Liang, “Sparsity Independent Sub-Nyquist Rate Wideband Spectrum Sensing on Real-time TV White Space,” IEEE Transactions on Vehicular Technology, vol. 66, no. 10, pp. 8784 - 8794, Apr. 2017. (中科院2区，Top期刊，IF: 6.239)
[31] Y. Ma, Y. Gao, Y.-C. Liang, and S. Cui, “Reliable and Efficient Sub-Nyquist Wideband Spectrum Sensing in Cooperative Cognitive Radio Networks,” IEEE Journal on Selected Areas in Communications, vol. 34, no. 10, pp. 2750-2762, Oct. 2016. (中科院1区，Top期刊，IF: 8.085)
