马嫄，博士，深圳大学电子与信息工程学院长聘副教授，博士生导师。入选中国科协第六届青年托举人才，广东省教育厅青年创新人才、深圳市优秀科技创新人才、“孔雀计划”深圳海外高层次人才C类。马嫄博士于2013年获得北京邮电大学学士学位，2017年获得英国伦敦大学玛丽女王学院工学博士学位。主要研究方向包括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。作为项目负责人主持了包括国家自然科学青年基金、科技部重点研发计划子课题、广东省自然科学基金面上项目等10余项科研项目研究。在IEEE JSAC、TWC、TCCN等信息通信领域国际权威期刊/会议上发表论文40余篇，出版英文学术专著1部，授权国内外发明专利6项。相关研究成果获得《通信与信息网络学报》最佳期刊论文奖、GBSense Challenge二等奖、中国通信学会技术发明一等奖等。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 (Asia Pacific)，IET Communications编委等，在2018-2020年连续三年获得IEEE Wireless Communications Letters期刊的模范审稿人称号。

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

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。

招生要求：数学基础和编程基础扎实，具有较强的英文阅读和写作能力，以科研兴趣为导向且做事认真负责。

欢迎对智能无线通信感兴趣，做事认真负责，具有较好无线通信、机器学习、英文读写基础的同学咨询报考！

1. 2021年，中国科协第六届青年托举人才

2. 2021年，《通信与信息网络学报》最佳期刊论文奖

3. 2020年，中国通信学会技术发明一等奖

4. 2020年，深圳市优秀科技创新人才

5. 2018年，“孔雀计划”深圳海外高层次人才C类

6. 2013年，College Prize, London University

1.国家自然科学基金青年基金项目，2020-2022年；

2.国家科技部重点研发计划子课题，2020-2022年；

3.中国科协青年人才托举工程，2021年-2022年；

4.广东省自然科学基金面上项目，2020-2022年；

5.广东省教育厅青年创新人才项目，2019-2021年；

6.深圳市优秀科技创新人才项目，2021-2023年；

7.深圳市海外高层次人才科研启动项目，2020-2022年。

担任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 (Asia Pacific) (2023-2024)、IEEE通信旗舰会议Globecom 2024的研讨会主席(Symposium Chair)、IET Communications编委、Journal of Communications and Information Networks客座编委等，多次担任IEEE ICC、Globecom、WCNC等通信旗舰会议的技术委员会委员，以及IEEE JSAC, TWC, TSP, TCOM等国际学术期刊的审稿人，在2017-2019年先后三次获得IEEE Wireless Communications Letters期刊的模范审稿人称号。

[1] 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：7.9)

[2] 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：8.2)

[3] Ruifeng Xiao, Y. Ma*, et.al., “Robust Time-Aware Streaming Tensor Completion Algorithm for Space-based Spectrum Situation Map Construction” 2025 IEEE Infocom, Jan. 2025. (CCF-A)

[4] Yanpeng Hou, Y. Ma*, X. Zhang, “Multi-Satellite Collaborative Compressive Sensing Method based on Walk-Incremental Strategy”, ZTE Communications, Oct. 2024.

[5] 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)

[6] 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)

[7] 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)

[8] 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.

[9] 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)

[10] 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)

[11] 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)

[12] 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)

[13] 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)

[14] 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)

[15] 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)

[16] 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)

[17] 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)

[18] 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)

[19] 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)

[20] 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)

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