戚晨皓，男，博士，是一位東南大學信息科學與工程學院教授，博導。
基本介紹
- 中文名：戚晨皓
- 國籍：中國
- 學位/學歷：博士
- 專業方向：5G/6G無線通信、人工智慧，機器學習，衛星通信
- 任職院校：東南大學信息科學與工程學院
個人經歷,主講課程,研究方向,學術成果,榮譽獎項,
個人經歷
學習經歷： | ||||||
2000年-2004年，東南大學，強化班（現吳健雄學院），信息工程專業，本科 2004年-2010年，東南大學，信號與信息處理專業，博士（碩博連讀） 2008年-2010年，美國哥倫比亞大學，電子工程專業，訪問 | ||||||
工作經歷: | ||||||
2010年-2014年，東南大學，信息科學與工程學院，講師 2014年-2021年，東南大學，信息科學與工程學院，副教授 2021年-至今，東南大學，信息科學與工程學院，教授 |
主講課程
04020204，數位訊號處理（秋季，本科生專業主幹課，48學時，3學分）
04030614，國外電子信息工程專業基礎（全英文）（春季，本科生通選課，32學時，2學分）
B004102，通信中的聯合信息處理（春季，博士生課程，36學時，2學分）
S004216，通信信號處理（春季，研究生課程，36學時，2學分）
研究方向
5G/6G無線通信、人工智慧、機器學習、衛星通信、水聲通信、雷達信號處理、稀疏信號處理
學術成果
論文著作： | ||||||
已發表學術論文100餘篇，特別是5G無線信道估計方面的工作受到知名SCI期刊Electronics Letters的人物專訪報導。先後擔任國際知名SCI期刊IEEE Transactions on Communications、IEEE Communications Letters、IEEE Open Journal of the Communications Society、IEEE Open Journal of Vehicular Technology、IEEE Access和China Communications期刊編委。 期刊論文： [1]Chenhao Qi, Peihao Dong, Wenyan Ma, Hua Zhang, Zaichen Zhang, and Geoffrey Ye Li, Acquisition of Channel State Information for mmWave Massive MIMO: Traditional and Machine Learning-based Approaches, Science China Information Sciences, Vol.64, No.8, pp.181301, Aug. 2021（封面論文）. [2]Chenhao Qi, Kangjian Chen, Octavia Dobre and Geoffrey Ye Li, Hierarchical Codebook based Multiuser Beam Training for Millimeter Massive MIMO, IEEE Transactions on Wireless Communications, Vol.19, No.12, pp.8142-8152, Dec. 2020. [3]Zhaohui Li, Chenhao Qi and Geoffrey Ye Li, Low-Complexity Multicast Beamforming for Millimeter Wave Communications, IEEE Transactions on Vehicular Technology, Vol.69, No.10, pp.12317-12320, Oct. 2020. [4]Chenhao Qi, Kangjian Chen, Octavia Dobre and Geoffrey Ye Li, Hierarchical Codebook based Multiuser Beam Training for Millimeter Massive MIMO, IEEE Transactions on Wireless Communications, 2020. [5]Chenhao Qi, Yujie Wang and Geoffrey Ye Li, Deep Learning for Beam Training in Millimeter Wave Massive MIMO Systems, IEEE Transactions on Wireless Communications, 2020. [6]Wenyan Ma, Chenhao Qi and Geoffrey Ye Li, Machine Learning for Beam Alignment in Millimeter Wave Massive MIMO, IEEE Wireless Communications Letters, Vol.9, No.6, pp.875-878, June 2020. [7]Chenhao Qi, Xuyao Sun, Yansha Deng and Nallanathan Arumugam, QoS Constrained Pilot Allocation Scheme for Massive MIMO Systems, IEEE Transactions on Vehicular Technology, Vol.69, No.5, pp.5661-5665, May 2020. [8]Wenyan Ma, Chenhao Qi and Geoffrey Ye Li, High-Resolution Channel Estimation for Frequency-Selective mmWave Massive MIMO System, IEEE Transactions on Wireless Communications, Vol.19, No.5, pp.3517-3529, May 2020. [9]Wenyan Ma, Chenhao Qi, Zaichen Zhang and Julian Cheng, Sparse Channel Estimation and Hybrid Precoding Using Deep Learning for Millimeter Wave Massive MIMO, IEEE Transactions on Communications, Vol.68, No.5, pp.2838-2849, May 2020. [10]Chenhao Qi, Huajian Chen, Yansha Deng and Nallanathan Arumugam, Energy Efficient Multicast Precoding for Multiuser Multibeam Satellite Communications,IEEE Wireless Communications Letters, Vol.9, No.4, pp.567-570, Apr. 2020. [11]Kangjian Chen,Chenhao Qiand Geoffrey Ye Li, Two-Step Codeword Design for Millimeter Wave Massive MIMO Systems with Quantized Phase Shifters,IEEE Transactions on Signal Processing, Vol.68, No.1, pp.170-180, Jan. 2020. [12]Xuyao Sun,Chenhao Qiand Geoffrey Ye Li, Beam Training and Allocation for Multiuser Millimeter Wave Massive MIMO Systems,IEEE Transactions on Wireless Communications, Vol.18, No.2, pp.1041-1053, Feb. 2019. [13]Xuyao Sun andChenhao Qi, Codeword Selection and Hybrid Precoding for Multiuser Millimeter Wave Massive MIMO Systems,IEEE Communications Letters, Vol.23, No.2, pp.386-389, Feb. 2019. [14]Jun Tao,Chenhao Qiand Yongming Huang, Regularized Multipath Matching Pursuit for Sparse Channel Estimation in Millimeter Wave Massive MIMO System,IEEE Wireless Communications Letters, Vol.8, No.1, pp.169-172, Feb. 2019. [15]Kangjian Chen andChenhao Qi, Beam Training based on Dynamic Hierarchical Codebook for Millimeter Wave Massive MIMO,IEEE Communications Letters, Vol.23, No.1, pp.132-135, Jan. 2019. [16]Shiwen He,Chenhao Qi, Yongming Huang, Qi Hou and Arumugam Nallanathan, Two-level Transmission Scheme for Cache-enabled Fog Radio Access Networks,IEEE Transactions on Communications, Vol.67, No.1, pp.445-456, Jan. 2019. [17]Miao Pu, Bingcheng Zhu,Chenhao Qi, Yi Jin and Chong Lin A Model-Driven Deep Learning Method for LED Nonlinearity Mitigation in OFDM-based Optical Communications,IEEE Access, Vol.7, No.1, pp.71436-71446, Dec.2019. [18]Wenyan Ma andChenhao Qi, Beamspace Channel Estimation for Millimeter Wave Massive MIMO System with Hybrid Precoding and Combining,IEEE Transactions on Signal Processing, Vol.66, No.18, pp.4839-4853, Sep. 2018. [19]Peng Chen,Chenhao Qi, Lenan Wu and Xianbin Wang, Waveform Design for Kalman Filter-Based Target Scattering Coefficient Estimation in Adaptive Radar System,IEEE Transactions on Vehicular Technology, Vol.67, No.12, pp.11805-11817, Dec. 2018. [20]Chenhao Qiand Wang Xin, Precoding Design for Energy Efficiency of Multibeam Satellite Communications, IEEE Communications Letters, Vol.22, No.9, pp.1826-1829, Sep. 2018. [21]Pu Miao,Chenhao Qi, Lanting Fang, Kang Song and Qingkai Bu, Deep clipping noise mitigation using ISTA with the specified observations for LED-based DCO-OFDM system,IET Communications, Vol.12, No.20, pp.2582-2591, Nov. 2018. [22]Wenyan Ma andChenhao Qi, Channel Estimation for 3-D Lens Millimeter Wave Massive MIMO System,IEEE Communications Letters, Vol.21, No.9, pp.2045-2048, Sep. 2017. [23]Yuhan Sun, andChenhao Qi. Weighted Sum-Rate Maximization for Analog Beamforming and Combining in Millimeter Wave Massive MIMO Communications,IEEE Communications Letters, Vol.21, No.8, pp.1883-1886, Aug. 2017. [24]Peng Chen,Chenhao Qiand Lenan Wu, Antenna Placement Optimization for Compressed Sensing-Based Distributed MIMO Radar,IET Radar, Sonar & Navigation, Vol.11, No.2, pp.285-293, Apr. 2017. [25]Peng Chen,Chenhao Qi, Lenan Wu and Xianbin Wang, Estimation of Extended Targets Based on Compressed Sensing in Cognitive Radar System,IEEE Transactions on Vehicular Technology, Vol.66, No.2, pp.941-951, Feb. 2017. [26]Zhen Gao, Linglong Dai,Chenhao Qi, Chau Yuen, and Zhaocheng Wang. Near-Optimal Signal Detector Based on Structured Compressive Sensing for Massive SM-MIMO,IEEE Transactions on Vehicular Technology, Vol.66, No.2, pp.1860-1865, Feb. 2017. [27]Shiwen He,Chenhao Qi, Yongpeng Wu and Yongming Huang, Energy-Efficient Transceiver Design for Hybrid Sub-Array Architecture MIMO Systems,IEEE Access, Vol.4, pp.9895-9905, Jan. 2017. [28]Shiwen He, Yongming Huang, Yanru Shi,Chenhao Qi, Shi Jin, and Luxi Yang, Coordinated Multicell Beamforming for Massive MIMO Systems Based on Uplink-Downlink Duality,IET Communications, Vol.10, No.17, pp.2380-2390, Nov. 2016. [29]Shiwen He, Yongming Huang, Ying Lu,Chenhao Qi, and Luxi Yang. Resource Efficiency: A New Beamforming Design for Multicell Multiuser Systems,IEEE Transactions on Vehicular Technology, Vol.65, No.8, pp.6063-6074, Aug. 2016. [30]Peng Chen, Lenan Wu, andChenhao Qi. Waveform Optimization for Target Scattering Coefficients Estimation under Detection and Peak-to-Average Power Ratio Constraints in Cognitive Radar,Circuits, Systems and Signal Processing, Vol.35, No.1, pp.163-184, Jan. 2016. [31]Chenhao Qi, Lenan Wu, Yongming Huang, and A. Nallanathan. Joint Design of Pilot Power and Pilot Pattern for Sparse Cognitive Radio Systems,IEEE Transactions on Vehicular Technology, Vol.64, No.11, pp.5384-5390, Nov. 2015. [32]Chenhao Qi, Arumugam Nallanathan, and Lenan Wu. Joint Optimization of Secret Key Capacity and Sparse Channel Estimation based on Pilot Power Allocation, Electronics Letters, Vol.51, No.13, pp.1033-1035, June 2015. [33]Chenhao Qi, Yongming Huang, and Shi Jin. An Overview of Massive MIMO System,Journal of Data Acquisition and Processing (in Chinese), Vol.30, No.3, pp.544-551, May 2015.(Invited) [34]Chenhao Qi, Guosen Yue, Lenan Wu, Yongming Huang and A. Nallanathan. Pilot Design Schemes for Sparse Channel Estimation in OFDM Systems,IEEE Transactions on Vehicular Technology, Vol.64, No.4, pp.1493-1505, Apr. 2015. [35]Chenhao Qiand Lenan Wu. Uplink Channel Estimation for Massive MIMO Systems Exploring Joint Channel Sparsity. Electronics Letters, Vol.50, No. 23, pp.1770-1772, Nov. 2014. [36]Chenhao Qi. Interview:“By exploring the joint sparsity of the uplink channel, the pilot overhead can be substantially reduced”,Electronics Letters, Vol.50, No. 23, pp.1650, Nov. 2014. [37]Chenhao Qi, Lenan Wu, and Pengcheng Zhu. Sparse Channel Estimation and Pilot Optimization for Cognitive Radio.Journal of Electronics & Information Technology (in Chinese), Vol. 36, No.4, pp. 763-768, Apr. 2014. [38]Chenhao Qi, Guosen Yue, Lenan Wu and A. Nallanathan. Pilot Design for Sparse Channel Estimation in OFDM-Based Cognitive Radio Systems,IEEE Transactions on Vehicular Technology, Vol.63, No.2, pp.982-987, Feb. 2014. [39]Chenhao Qiand Lenan Wu. Sparse Channel Estimation for Wavelet-based Underwater Acoustic Communications.Transactions on Emerging Telecommunications Technologies, Vol.23, No.8, pp.764-776, Dec. 2012. [40]Chenhao Qiand Lenan Wu. A Study of Deterministic Pilot Allocation for Sparse Channel Estimation in OFDM Systems.IEEE Communications Letters, Vol.16, No.5, pp.742-744, May 2012. [41]Chenhao Qiand Lenan Wu. Tree-based backward pilot generation for sparse channel estimation.Electronics Letters, Vol.48, No.9, pp.501-503, Apr. 2012. [42]Chenhao Qiand Lenan Wu. Optimized pilot placement for sparse channel estimation in OFDM systems.IEEE Signal Processing Letters. Vol.18, No.12, pp.749-752, Dec. 2011. [43]Chenhao Qi, Xiaodong Wang and Lenan Wu. Underwater Acoustic Channel Estimation based on Sparse Recovery Algorithms.IET Signal Processing. Vol.5, No.8, pp.739-747, Dec. 2011. 會議論文： [1]Jinming Zhang,Chenhao Qi, Ping Li and Ping Lu, Channel Estimation for Reconfigurable Intelligent Surface Aided Massive MIMO System,IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Atlanta, USA, May 2020, pp.1-5. [2]Kangjian Chen,Chenhao Qi, Octavia A. Dobre and Geoffrey Ye Li, Multiuser Beam Training using Adaptive Hierarchical Codebook for mmWave Massive MIMO,2019 IEEE Global Communications Conference (GlobeCOM), Waikoloa, Hawaii, USA, Dec. 2019, pp.1-6. (Best Paper Award) [3]Wenyan Ma,Chenhao Qi, Zaichen Zhang and Julian Cheng, Deep Learning for Compressed Sensing Based Channel Estimation in Millimeter Wave Massive MIMO,The Eleventh International Conference on Wireless Communications and Signal Processing (WCSP), Xi'an, China, Oct. 2019, pp.1-6. (Best Paper Award) [4]Pu Miao,Chenhao Qi,Yi Jin, Kang Song and Teng Yu, Kernels Pruning for Volterra Digital Predistortion Using Sparse Bayesian Learning,The Eleventh International Conference on Wireless Communications and Signal Processing (WCSP), Xi'an, China, Oct. 2019, pp.1-6. [5]Wenyan Ma andChenhao Qi, ESPRIT-based Channel Estimation for Frequency-Selective Millimeter Wave Massive MIMO System, 2019IEEE International Conference on Communications (ICC), Shanghai, China, May 2019, pp.1-6. [6]Xuyao Sun andChenhao Qi, Multiuser Beam Allocation for Millimeter Wave Massive MIMO Systems, 2019IEEE International Conference on Communications (ICC), Shanghai, China, May 2019, pp.1-6. [7]Huajian Chen andChenhao Qi, User Grouping for Sum-rate Maximization in Multiuser Multibeam Satellite Communications, 2019IEEE International Conference on Communications (ICC), Shanghai, China, May 2019, pp.1-6. [8]Kangjian Chen andChenhao Qi, Beam Design with Quantized Phase Shifters for Millimeter Wave Massive MIMO,2018 IEEE Global Communications Conference (GlobeCOM), Abu Dhabi, UAE, Dec. 2018, pp.1-6. [9]Zhikang Xia,Chenhao Qiand Tengxiang Zhang, Model based Beamspace Channel Estimation for Millimeter Wave Massive MIMO System,The Tenth International Conference on Wireless Communications and Signal Processing (WCSP), Hangzhou, China, Oct. 2018, pp.1-6. [10]Wenyan Ma,Chenhao Qi, Over-sampled Beamspace Channel Estimation for Millimeter Wave Massive MIMO, 2018IEEE International Conference on Communications (ICC), Kansas City, USA, May 2018, pp.1-6. [11]Yuhan Sun,Chenhao Qi. Analog Beamforming and Combining Based on Codebook in Millimeter Wave Massive MIMO Communications,2017 IEEE Global Communications Conference (GlobeCOM), Singapore, Dec. 2017, pp.1-6. [12]Huajian Chen,Chenhao Qi. Group Bayesian Sparse Channel Estimation for Massive MIMO Systems,2017 IEEE Global Communications Conference (GlobeCOM), Singapore, Dec. 2017, pp.1-6. [13]Huajian Chen,Chenhao Qi. Underwater Acoustic Channel Estimation via Fast Bayesian Matching Pursuit,The Ninth International Conference on Wireless Communications and Signal Processing (WCSP), Nanjing, China, Oct. 2017, pp.1-6. [14]Xin Wang,Chenhao Qi. Algorithm for Modeling Dual-Polarized MIMO Channel in Land Mobile Satellite Communications,The Ninth International Conference on Wireless Communications and Signal Processing (WCSP), Nanjing, China, Oct. 2017. [15]Pu Miao,Chenhao Qi, Lenan Wu, Bingcheng Zhu, Kangjian Chen. Compressed Sensing for Clipping Noise Cancellation in DCO-OFDM Systems Based on Observation Interference Mitigation,The Ninth International Conference on Wireless Communications and Signal Processing (WCSP), Nanjing, China, Oct. 2017. [16]Chenhao Qi, Xin Wang, Yongming Huang. Selection of Nonzero Taps for Sparse Linear Equalizer.IEEE 83rd Vehicular Technology Conference (VTC-Spring 2016), pp.1-5, Nanjing, China, May 2016. [17]Chenhao Qi, Yongming Huang, Shi Jin and Lenan Wu. Sparse Channel Estimation Based on Compressed Sensing for Massive MIMO Systems.IEEE International Conference on Communications (ICC 2015), pp.4558-4563, London, June 2015. [18]Chenhao Qiand Lenan Wu. Comparisons of Channel Estimation for OFDM-based and Wavelet-based Underwater Acoustic Communications.IEEE Wireless Communications and Networking Conference (WCNC 2013), pp.2920-2925, Shanghai, Apr. 2013. [19]Chenhao Qi, Lenan Wu and Xiaodong Wang. Underwater Acoustic Channel Estimation via Complex Homotopy.IEEE International Conference on Communications (ICC 2012), pp. 3821-3825, Ottawa, June 2012. [20]Chenhao Qiand Lenan Wu. A hybrid compressed sensing algorithm for sparse channel estimation in MIMO OFDM systems.IEEE 36th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2011), pp.3488-3491, Prague, May 2011. [21]Chenhao Qiand Lenan Wu. Application of Compressed Sensing to DRM Channel Estimation.IEEE 73rd Vehicular Technology Conference (VTC-Spring 2011), pp.1-5, Budapest, May 2011. | ||||||
科研項目： | ||||||
項目名稱 | 項目類別 | 項目時間 | 工作類別 | 項目金額 | ||
毫米波大規模MIMO的信道狀態信息獲取與跟蹤技術研究 | 國家自然科學基金項目 | 2021.1-2024.12 | 套用基礎研究 | XX萬 | ||
多用戶毫米波大規模MIMO系統的波束訓練與混合波束成形 | 國家自然科學基金項目 | 2019.1-2019.12 | 套用基礎研究 | XX萬 | ||
大規模MIMO系統中信道估計與導頻設計研究 | 國家自然科學基金項目 | 2014.01-2016.12 | 套用基礎研究 | XX萬 | ||
多用戶毫米波大規模MIMO系統的波束訓練與混合波束成形 | 國家自然科學基金項目 | 2019.1-2019.12 | 套用基礎研究 | XX萬 | ||
衛星XX理論與技術研究 | 國防預研基金（國家級） | 2015.8-2017.8 | 前沿技術研究 | XX萬 | ||
XX系統技術 | 國防預研項目（國家級） | 2016.12-2020.9 | 套用基礎研究 | XX萬 | ||
FDD LTE-Advanced系統試驗設備開發 | 國家科技重大專項 | 2012.1-2013.12 | 套用基礎研究 | XX萬 | ||
5G熱點高容量場景組網技術與試驗系統研發 | 國家科技重大專項 | 2016.1.1-2017.12.31. | 套用基礎研究 | XX萬 | ||
基於壓縮感知的OFDM信道估計理論與關鍵技術研究 | 教育部博士點基金 | 2013.1-2015.12 | 套用基礎研究 | XX萬 | ||
水聲通信中的稀疏信號處理理論與技術研究 | 江蘇省自然科學基金（面上項目） | 2016.7-2019.6 | 套用基礎研究 | XX萬 | ||
壓縮感知算法及其在無線信道估計中的套用研究 | 華為創新研究計畫（HIRP） | 2012.1-2013.12 | 產學研 | XX萬 | ||
基於陣列最佳化的高頻性能提升研究 | 華為合作研究項目 | 2020.10-2021.10 | 產學研 | XX萬 | ||
毫米波MIMO通信物理層技術研究 | 中興通訊產學研合作項目 | 2019.10-2020.10 | 產學研 | XX萬 | ||
衛星XXX | 上海航天科技創新基金項目 | 2016.7-2018.7 | 套用基礎研究 | XX萬 | ||
星載XXX | 中國空間技術研究院創新基金 | 2010.12-2011.12. | 套用基礎研究 | XX萬 | ||
大數據傳輸中的稀疏性研究 | 廳局級項目 | 2016.1-2017.12. | 套用基礎研究 | XX萬 | ||
通過調幅廣播傳送的農情信息服務系統 | 橫向項目 | 2012.11-2013.11. | 產學研 | XX萬 | ||
專利： | ||||||
專利號 | 專利 | 專利類型 | ||||
ZL 201910609278.1 | 一種基於深度學習的毫米波信道波束訓練方法 | 發明專利授權 | ||||
ZL 201811553452.7 | 一種毫米波通信碼本設計方法 | 發明專利授權 | ||||
ZL 201811324848.4 | 一種毫米波通信多徑信道動態波束訓練方法 | 發明專利授權 | ||||
ZL 201710717443.6 | 多用戶毫米波通信系統的波束分配方法及其裝置和系統 | 發明專利授權 | ||||
ZL 201710413002.7 | 毫米波通信的十字形信道估計方法、裝置及系統 | 發明專利授權 | ||||
ZL 201610592999.2 | 可生成導頻的交織單元及無線通信數據傳送、接收裝置 | 發明專利授權 | ||||
ZL 201610322009.3 | 一種多小區大規模MIMO系統導頻分配方法 | 發明專利授權 | ||||
ZL 201410282949.5 | 一種聯合稀疏信道估計方法、裝置及系統 | 發明專利授權 | ||||
ZL 201310687413.7 | 一種導頻排布確定方法及基站 | 發明專利授權 | ||||
ZL 201210352607.7 | 認知無線電中基於稀疏信道估計的導頻設計方法 | 發明專利授權 | ||||
ZL 201210350713.1 | 稀疏信道的導頻最佳化方法、裝置和信道估計方法 | 發明專利授權 | ||||
US20160294525A1 | Method for determining pilot arrangement and base station | 美國專利授權 | ||||
EP3068065 | Pilot frequency arrangement determination method and base station | 歐洲專利授權 | ||||
WO2015196384A1 | Joint sparse channel estimation method, device and system | PCT國際專利 | ||||
WO2014044042A1 | Pilot frequency optimizing method, apparatus and channel estimating method for sparse channel, | PCT國際專利 | ||||
WO2015085820A1 | Pilot frequency arrangement determination method and base station | PCT國際專利 | ||||
202110623890.1 | 一種基於深度強化學習的毫米波通信波束訓練方法 | 發明專利申請 | ||||
202110594475.8 | 一種智慧型反射表面輔助的毫米波系統中的波束訓練方法 | 發明專利申請 | ||||
201910910231.9 | 一種具有恆模約束的毫米波MIMO系統波束成形方法 | 發明專利申請 | ||||
201910715824.X | 一種基於碼本的毫米波通信多用戶並行波束訓練方法 | 發明專利申請 | ||||
201910699093.4 | 一種低複雜度毫米波多播波束成形方法 | 發明專利申請 | ||||
201910477000.3 | 一種毫米波通信的混合預編碼結構、混合合併結構及方法 | 發明專利申請 | ||||
201811569312.9 | 一種多波束衛星通信系統用戶分組的方法及其裝置 | 發明專利申請 | ||||
榮譽獎項
1.江蘇省科學技術獎三等獎，2020
2.中國電子學會優秀碩士學位論文指導教師，2020
3.IEEE全球通信年會GlobeCOM最佳論文獎，2019
4.無線通信與信號處理國際會議WCSP最佳論文獎，2019
5.IEEE Communications Letters Exemplary Editor，2018
6.IEEE Access Outstanding Associate Editor Award，2018
7.教育部高等學校科學研究技術發明獎，二等獎，2018
8.IEEE Communications Letters Exemplary Reviewer，2017
9.南京市第十二屆自然科學優秀學術論文獎，二等獎，2017
10.江蘇省輕工業技術進步獎，三等獎，2017
11.南京市科學技術進步獎，二等獎，2016
12.中國輕工業聯合會科學技術進步獎，二等獎，2016
13.江蘇軍民結合科技創新獎，三等獎，2013
