科 系：人工智能系

學曆職稱：副教授

導 師：博士/碩士研究生導師

研究方向：海洋探測、信号處理與建模、圖像識别、大數據與人工智能

聯系方式：hqs@hainanu.edu.cn

基本情況：黑龍江哈爾濱，博士，博士後，副教授

通訊地址：365英国上市官网在线海洋智能裝備實驗室

學習和工作經曆：

2021年10月至今 365英国上市官网在线 副教授

2019年-2021年 哈爾濱工業大學航天學院 師資博後（講師）

碩士招生專業：信息與通信工程、電子信息

主持或參與科研項目：

1.國家自然科學基金青年基金，水下人造目标探測中混響抑制的分形機制與方法，2025.01-2027.12

2. 海南省自然科學基金青年基金，基于多分辨分析的自适應水聲探測方法研究，2022.04-2025.03

3. 黑龍江省博士後面上項目，高速鐵路鋼軌傷損在線智能檢測關鍵技術研究，2021.01-2023.12

4. 國家自然科學基金重點項目，高鐵鋼軌傷損實時智能檢測的關鍵技術研究，2021.01-2025.12

學術成果（可包含論文、專利、著作等）：

1. Hao Qiushi*, Shen Yi, Wang Yan, Liu Jian. An adaptive extraction method for rail crack acoustic emission signal under strong wheel-rail rolling noise of high-speed railway [J]. Mechanical Systems and Signal Processing, 2021, 154(1075 46). (SCI, IF=6.471, 中科院一區Top期刊)

2. Hao Qiushi, Zhang Xin, Wang Yan, Shen Yi, Viliam Makis. A novel rail defect detection method based on undecimated lifting wavelet packet transform and Shannon entropy-improved adaptive line enhancer [J]. Journal of Sound and Vibration, 2018, 425: 208-220. (SCI, IF= 3.429, 中科院二區Top期刊)

3. Hao Qiushi, Shen Yi, Wang Yan, Zhang Xin. A Fractal Model of Acoustic Emission Signals in Sliding Friction [J]. Tribology Letters, 2019, 67(1): 31. (SCI, IF= 2.566, 中科院二區期刊)

4. Hao Qiushi, Zhang Xin, Wang Kangwei, Shen Yi, Wang Yan. A signal-adapted wavelet design method for acoustic emission signals of rail cracks [J]. Applied Acoustics, 2018, 139: 251-258. (SCI, IF= 2.440, 中科院二區期刊)

5. Hao Qiushi, Shen Yi, Wang Yan, Zhang Xin. Detection method based on Kalman filter for high speed rail defect AE signal on wheel-rail rolling rig [J]. Nondestructive Testing and Evaluation, 2018, 33(1): 75-91. (SCI, IF= 1.424, 中科院三區期刊)

6. Hao Qiushi, Wang Yan, Shen Yi, Zhang Xin. De-noising of rail crack AE signal based on wavelet modulus maxima [C]. 2015 IEEE International Instrumentation and Measurement Technology Conference, Pisa, 2016: 675-680. (EI, 國際會議論文)

7. Hao Qiushi, Shen Yi, Wang Yan, Zhang Xin, Liu Jian. Fractal description and fractal dimension estimation of the wheel-rail rolling noise in high-speed railway [C]. Chinese Journal of Acoustics. 2020, 39(4): 526-540. (EI, 國内權威期刊《聲學學報》精選英文期刊)

8. Zhang Xin, Hao Qiushi, Wang Kangwei, Wang Yan, Shen Yi, Hu Hengshan. An investigation on acoustic emission detection of rail crack in actual application by chaos theory with improved feature detection method [J]. Journal of Sound and Vibration, 2018, 436: 165-182. (SCI, IF= 3.429, 中科院二區Top期刊)

9. Wang Kangwei, Hao Qiushi, Zhang Xin, Tang Zhiyi, Wang Yan, Shen Yi. Blind source extraction of acoustic emission signals for rail cracks based on ensemble empirical mode decomposition and constrained independent component analysis [J]. Measurement. 2020, 157: 1-16. (SCI, IF=3.364, 中科院二區期刊)

10. Wang Kangwei, Zhang Xin, Hao Qiushi, Wang Yan, Shen Yi. Application of improved least-square generative adversarial networks for rail crack detection by AE technique [J]. Neurocomputing, 2019, 332: 236-248. (SCI, IF=3.241, 中科院二區Top期刊)

11. Zhang Xin, Tang Zhiyi, Hao Qiushi, Wang Yan, Shen Yi, Hu Hengshan. AE detection of crack signal in tank shell using the multi-sensors with adaptive weighted fusion method [C]. 2018 IEEE International Instrumentation and Measurement Technology Conference. (EI, 國際會議論文)

12. Zhang Xin, Zou Zhongxian, Wang Kangwei, Hao Qiushi, Wang Yan, Shen Yi, Hu Hengshan. A new rail crack detection method using LSTM network for actual application based on AE technology [J]. Applied Acoustics, 2018, 142: 78-86. (SCI, IF= 2.440, 中科院二區期刊)

13. 國際專利，授權，Shen Yi, Hao Qiushi, Wang Yan, Zhang Xin, Wang Kangwei, Lou Yunjiang. A signal enhancer and method for weak and blind signal denoising and extracting: European Patent. EP19193785.3

獲獎情況：

1. 哈爾濱工業大學優秀博士論文