馬嫄，博士，深圳大學(xué)電子與信息工程學(xué)院長聘副教授，博士生導(dǎo)師。入選中國科協(xié)第六屆青年托舉人才，廣東省教育廳青年創(chuàng)新人才、深圳市優(yōu)秀科技創(chuàng)新人才、“孔雀計劃”深圳海外高層次人才C類。馬嫄博士于2013年獲得北京郵電大學(xué)學(xué)士學(xué)位，2017年獲得英國倫敦大學(xué)瑪麗女王學(xué)院工學(xué)博士學(xué)位。主要研究方向包括空天地一體化智能信息網(wǎng)絡(luò)、空間頻譜態(tài)勢感知與信號識別等。作為項目負(fù)責(zé)人主持了包括國家自然科學(xué)青年基金、科技部重點(diǎn)研發(fā)計劃子課題、廣東省自然科學(xué)基金面上項目等10余項科研項目研究。在IEEE JSAC、TWC、TCCN等信息通信領(lǐng)域國際權(quán)威期刊/會議上發(fā)表論文40余篇，出版英文學(xué)術(shù)專著1部，授權(quán)國內(nèi)外發(fā)明專利6項。相關(guān)研究成果獲得《通信與信息網(wǎng)絡(luò)學(xué)報》最佳期刊論文獎、GBSense Challenge二等獎、中國通信學(xué)會技術(shù)發(fā)明一等獎等。擔(dān)任IEEE通信學(xué)會認(rèn)知網(wǎng)絡(luò)技術(shù)委員會(IEEE Technical Committee on Cognitive Networks)副主席 (Asia Pacific)，IET Communications編委等，在2018-2020年連續(xù)三年獲得IEEE Wireless Communications Letters期刊的模范審稿人稱號。

空天地一體化智能信息網(wǎng)絡(luò)、空間頻譜態(tài)勢感知與智能信號識別等

招生方向：學(xué)術(shù)型碩士（信息與通信工程）、專業(yè)型碩士（通信工程）、學(xué)術(shù)型博士（信息與通信工程）、博士后。

招生要求：數(shù)學(xué)基礎(chǔ)和編程基礎(chǔ)扎實(shí)，具有較強(qiáng)的英文閱讀和寫作能力，以科研興趣為導(dǎo)向且做事認(rèn)真負(fù)責(zé)。

歡迎對智能無線通信感興趣，做事認(rèn)真負(fù)責(zé)，具有較好無線通信、機(jī)器學(xué)習(xí)、英文讀寫基礎(chǔ)的同學(xué)咨詢報考！

1. 2021年，中國科協(xié)第六屆青年托舉人才

2. 2021年，《通信與信息網(wǎng)絡(luò)學(xué)報》最佳期刊論文獎

3. 2020年，中國通信學(xué)會技術(shù)發(fā)明一等獎

4. 2020年，深圳市優(yōu)秀科技創(chuàng)新人才

5. 2018年，“孔雀計劃”深圳海外高層次人才C類

6. 2013年，College Prize, London University

1.國家自然科學(xué)基金青年基金項目，2020-2022年；

2.國家科技部重點(diǎn)研發(fā)計劃子課題，2020-2022年；

3.中國科協(xié)青年人才托舉工程，2021年-2022年；

4.廣東省自然科學(xué)基金面上項目，2020-2022年；

5.廣東省教育廳青年創(chuàng)新人才項目，2019-2021年；

6.深圳市優(yōu)秀科技創(chuàng)新人才項目，2021-2023年；

7.深圳市海外高層次人才科研啟動項目，2020-2022年。

擔(dān)任IEEE通信學(xué)會認(rèn)知網(wǎng)絡(luò)技術(shù)委員會 ( IEEE ComSoc Technical Committee on Cognitive Networks, TCCN) 副主席 (Asia Pacific) (2023-2024)、IEEE通信旗艦會議Globecom 2024的研討會主席(Symposium Chair)、IET Communications編委、Journal of Communications and Information Networks客座編委等，多次擔(dān)任IEEE ICC、Globecom、WCNC等通信旗艦會議的技術(shù)委員會委員，以及IEEE JSAC, TWC, TSP, TCOM等國際學(xué)術(shù)期刊的審稿人，在2017-2019年先后三次獲得IEEE Wireless Communications Letters期刊的模范審稿人稱號。

[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區(qū)，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區(qū)，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區(qū)，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區(qū)，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區(qū)，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區(qū)，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區(qū)，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區(qū)，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區(qū)，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區(qū)，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區(qū)，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區(qū)，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區(qū))

[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區(qū)，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區(qū)，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區(qū)，Top期刊，IF: 8.085)

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