2012.09-2018.12：上海交通大學機械電子工程專業，博士（碩博連讀）
2008.09-2012.06：西南交通大學機械設計制造及其自動化專業，學士

2021.03 - 至今： 上海交通大學，機械與動力工程學院，機電控制與物流裝備研究所，助理教授，碩士/博士生導師
2019.01 - 2021.02： 上海交通大學，機械與動力工程學院，博士后（合作導師：劉成良教授）

1. 工程機械裝備(掘進機等)健康評估與智能運維
2. 工業機器人故障診斷、健康評估與智能運維
3. 信號處理、數據挖掘與人工智能理論與方法
4. 復雜機-電-液系統動力學建模、分析與控制

歡迎對科研有熱情的碩士/博士研究生和博士后聯系學習和交流！
*************每年有1個博士和2個碩士招生名額***************

2021.01-2023.12：國家自然科學基金青年項目"柔性約束多變孔位機器人制孔系統耦合振動機理及智能抑振研究(52005326)"，項目負責人
2019.12-2022.11：國家重點研究計劃子課題“地下工程裝備全生命周期性能預測與優化技術(2019YFB1705203)”，子課題負責人
2019.11-2021.02：中國博士后科學基金面上項目“防空戰車弱剛度機器人鉆削系統耦合顫振機理與智能抑制(2019M661496)”，項目負責人
2019.01-2021.02：上海市“超級博士后”激勵計劃“健康評估、故障診斷、預測維護技術”，項目負責人
2021.03-2024.12：上海交通大學新進青年教師科研啟動基金，項目負責人
2020.01-2024.12：國家自然科學基金重點項目“超高速電梯動力學設計及響應控制（51935007）”，參與
2019.06-2023.05：國家重點研發計劃項目“全斷面隧道掘進裝備運行服務平臺及智能終端研制（2018YFB1702503）”，參與
2021.01-2024.12：國家自然科學基金面上項目“類矩形盾構環臂式電液伺服管片拼裝機振動機理及其預測控制方法（52075320）”，參與
2014.01-2017.12：國家自然科學基金面上項目“單向變轉速比例泵控非對稱液壓缸高精度位置控制方法研究(51375297)”，參與
2013.01-2017.12：國家973課題“液壓推進系統的高剛度設計及振動能量耗吸技術（2013CB035403）”，參與
2017.12-2019.12：上海市科學技術委員會科研計劃項目“基于CPS 的軍用特種車智能制孔機器人系統及示范應用（17511109200）”， 參與
2015.01-2017.12：企業重大合作項目“矩形盾構液壓拼裝機器人智能化關鍵技術研究（2015-SK-01-02）”，參與
2014.12-2017.12：企業重大合作項目“機器人制孔鉆削顫振分析及切削加工穩定性方（SAMC14-JS-15-046）”，參與

近年來在Mechanical Systems and Signal Processing, Knowledge-Based Systems, Precision Engineering, Automation in Construction, Journal of Intelligent Manufacturing, IEEE Transactions on Instrumentation & Measurement，Measurement等期刊上發表SCI論文33篇（中科院1/2區20篇，*為通訊作者）, 在Scopus上被引用323次, h-index=10。

[1] Qin C., Shi G., Tao J., Yu H., Jin Y., Lei J., Liu C., Precise cutterhead torque prediction for shield tunneling machines using a novel hybrid deep neural network. Mechanical Systems and Signal Processing, 2021, 151: 107386. (SCI, IF: 6.471)
[2] Jin Y., Qin C.*, Liu J., Lin K., Shi H., Huang Y., Liu C.*, A novel Domain Adaptive Residual Network for automatic Atrial Fibrillation Detection. Knowledge-Based Systems, 2020, 203:106122. (SCI, IF: 5.921)
[3] Qin C., Jin Y., Tao J., Xiao D.,Yu H., Liu C., Shi G.,Lei J., Liu C., DTCNNMI. Measurement, 2021, Revision Submitted. (SCI, IF: 3.364)
[4] Qin C., Tao J., Shi H., Xiao D., Li B., Liu C., A novel Chebyshev-wavelet-based approach for accurate and fast prediction of milling stability. Precision Engineering, 2020, 62:244–255. (SCI, IF:3.108)
[5] Qin C., Tao J., Xiao D., Shi H., Ling X., Liu C., Accurate and efficient stability prediction for milling operations using a Legendre-Chebyshev-based method. International Journal of Advanced Manufacturing Technology, 2020, 107(1–2): 247–258. (SCI, IF:2.925)
[6] Qin C., Tao J., Liu C., A predictor-corrector-based holistic-discretization method for accurate and efficient milling stability analysis. International Journal of Advanced Manufacturing Technology, 2018, 96(5–8):2043–2054. (SCI, IF:2.925)
[7] Qin C., Tao J., Liu C., An Adams-Moulton-based method for stability prediction of milling processes. International Journal of Advanced Manufacturing Technology, 2017, 89 (9–12):3049–3058. (SCI, IF:2.925)
[8] Qin C., Tao J., Liu C., Stability analysis for milling operations using an Adams-Simpson-based method. International Journal of Advanced Manufacturing Technology, 2017, 92 (1–4):969–979. (SCI, IF:2.925)
[9] Qin C., Tao J., Liu C., A novel stability prediction method for milling operations using the holistic-interpolation scheme. Journal of Mechanical Engineering Science, 2019, 233(13):4463–4475. (SCI, IF:1.386)
[10] Qin C., Tao J., Xiao D., Shi H., Li B., Liu C.. A Legendre wavelet–based stability prediction method for high-speed milling processes. International Journal of Advanced Manufacturing Technology, 2020, 108(7-8): 2397-2408. (SCI, IF:2.925)
[11] Tao J., Qin C.*, Xiao D., Shi H., Ling X., Li B., Liu C., Timely chatter identification for robotic drilling using a local maximum synchrosqueezing-based method. Journal of Intelligent Manufacturing, 2020, 31: 1243–1255. (SCI, IF:4.311)
[12] Xiao D., Qin C.*, Yu H., Huang Y.*，Liu C., Unsupervised deep representation learning for motor fault diagnosis by mutual information maximization. Journal of Intelligent Manufacturing, 2021, 32(2): 377–391. (SCI, IF:4.311)
[13] Yu H., Tao J.*, Huang S., Qin C.*, Xiao D., Liu C., A field parameters-based method for real-time wear estimation of disc cutter on TBM cutterhead. Automation in Construction, 2021, 124:103603. (SCI, IF: 5.669)
[14] Jin Y., Qin C.*, Liu J., Li Z., Shi H., Lin K., Liu Y., Liu C.*, A novel incremental and interactive method for actual heartbeat classification with limited additional labeled samples. IEEE Transactions on Instrumentation & Measurement, 2021, 70: 2507212. (SCI, IF:3.658)
[15] Tao J., Qin C.*, Xiao D., Shi H., Liu C., A pre-generated matrix-based method for real-time robotic drilling chatter monitoring. Chinese Journal of Aeronautics, 2019, 32(12): 2755–2764. (SCI, IF: 2.215)
[16] Tao J., Qin C.*, Liu C., A synchroextracting-based method for early chatter identification of robotic drilling process. International Journal of Advanced Manufacturing Technology, 2019, 100(1–4):273–285. (SCI, IF:2.925)
[17] Tao J., Qin C.*, Xiong Z., Gao X., Liu C., Optimization and control of cable tensions for hyper-redundant snake arm robots. International Journal of Control, Automation and Systems, 2021, accepted. (SCI, IF: 2.733)
[18] Tao J., Zeng H., Qin C.*, Liu C., Chatter detection in robotic drilling operations combining multi-synchrosqueezing transform and energy entropy. International Journal of Advanced Manufacturing Technology, 2019, 105(7–8): 2879–2890. (SCI, IF:2.925)
[19] Tao J., Qin C.*, Li W., Liu C., Intelligent fault diagnosis of diesel engines via extreme gradient boosting and high-accuracy time–frequency information of vibration signals. Sensors, 2019, 19:3280. (SCI, IF: 3.275)
[20] Wang H., Shi H., Lin K., Qin C.*, Zhao L., Huang Y., Liu C.*, A high-precision arrhythmia classification method based on dual fully connected neural network. Biomedical Signal Processing and Control, 2020, 58:101874. (SCI, IF: 3.137)
[21] Xiao D., Qin C.*, Yu H., Huang Y.*, Liu C., Zhang J., Unsupervised Machine Fault Diagnosis for Noisy Domain Adaptation using marginal Denoising Autoencoder. Measurement, 2021, 176:109186. (SCI, IF: 3.364)
[22] Jin Y., Qin C.*, Huang Y.*, Liu C., Actual Bearing Compound Fault Diagnosis based on Active Learning and Decoupling Attentional Residual Network. Measurement, 2021, 173: 108500. (SCI, IF: 3.364)
[23] Qin C.*, Tao J., Wang M., Liu C., A novel approach for the acquisition of vibration signals of the end effector in robotic drilling. 2016 IEEE/CSAA International Conference on Aircraft Utility Systems, 2016, 7748106:522–526.
[24] Yu H., Tao J.*, Qin C.*, Xiao D., Sun H., Liu C.，Rock mass type prediction for tunnel boring machine using a novel semi-supervised method. Measurement, 2021, accepted. (SCI, IF: 3.364)
[25] Shi H., Qin C., Xiao D., Zhao L., Liu C., Automated heartbeat classification based on deep neural network with multiple input layers. Knowledge-Based Systems, 2020, 188:10503. (SCI, IF: 5.921)
[26] Jin Y., Qin C., Huang Y., Zhao W., Liu C., Multi-domain modeling of atrial fibrillation detection with twin attentional convolutional long short-term memory neural networks. Knowledge-Based Systems, 2020, 193:105460. (SCI, IF: 5.921)
[27] Liu C., Qin C., Shi X., Wang Z., Zhang G., Han Y., TScatNet: An interpretable cross-domain intelligent diagnosis model with anti-noise and few-shot learning capability. IEEE Transactions on Instrumentation & Measurement, 2021, 70:9279302. (SCI, IF:3.658)
[28] Shi H., Wang H., Qin C., Zhao L., Liu C.. An incremental learning system for atrial fibrillation detection based on transfer learning and active learning. Computer Methods and Programs in Biomedicine, 2020, 187:105219. (SCI, IF: 3.632)
[29] Shi H., Wang H., Huang Y., Zhao L., Qin C., Liu C., A hierarchical method based on weighted extreme gradient boosting in ECG heartbeat classification. Computer Methods and Programs in Biomedicine, 2019, 171:1-1. (SCI, IF: 3.632)
[30] Xiao D., Huang Y., Zhao L., Qin C., Shi H., Liu C., Domain adaptive motor fault diagnosis using deep transfer learning. IEEE Access, 2019, 7:80937-80949. (SCI, IF: 3.745)
[31] Tao J., Qin C., Liu C.. Milling Stability Prediction with Multiple Delays via the Extended Adams-Moulton-Based Method. Mathematical Problems in Engineering, 2017, 2017:7898369. (SCI, IF: 1.009)
[32] Ling X., Tao J., Li B., Qin C., Liu C.. A Multi-physics modeling-based vibration prediction method for switched reluctance motors. Applied Sciences, 2019, 9(21):4544. (SCI, IF: 2.474)
[33] Xiao D., Huang Y., Qin C., Liu Z., Li Y., Liu C., Transfer learning with convolutional neural networks for small sample size problem in machinery fault diagnosis. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2019, 233(14):5131-5143. (SCI, IF:1.386)
[34] Li, Y., Chen, J., Qin, C., Liu, C.,Design of Precise Detection System for Wheat Seeding Quantity Based on AD7746 Analog to Digital Conversion Chip. Proceedings of 2018 International Computers, Signals and Systems Conference, 2018, pp. 706–711, 8941861.
[35] Xiao, D., Tao, Z., Qin, C., ...Huang, Y., Liu, C.,Fast Machine Fault Diagnosis Using Marginalized Denoising Autoencoders Based on Acoustic Signal. 2020 Prognostics and Health Management Conference, PHM-Besancon 2020, 2020, pp. 229–234, 9115517.
[36] Xiao, D., Huang, Y., Qin, C., ...Liu, C., Shan, Z., Health Assessment for Crane Pumps based on Vehicle Tests using Deep Autoencoder and Metric Learning. 2019 IEEE International Conference on Prognostics and Health Management, ICPHM 2019, 2019, 8819387.
[37] Xiao D., Huang Y., Qin C., Shi H., Li Y., Fault Diagnosis of Induction Motors Using Recurrence Quantification Analysis and LSTM with Weighted BN. Shock and Vibration, 2019, 2019:8325218. (SCI, IF: 1.298)

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[01] 2020.03 至今 IEEE Transactions on Industrial Electronics 審稿人
[02] 2020.04 至今 Measurement 審稿人
[03] 2020.04 至今 CMES-Computer Modeling in Engineering & Sciences 審稿人
[04] 2020.04 至今 Complexity 審稿人
[05] 2019.11 至今 Journal of Intelligent Manufacturing 審稿人
[06] 2019.11 至今 Artificial Intelligence in Agriculture 審稿人
[07] 2019.11 至今 IEEE Access 審稿人
[08] 2019.10 至今 Shock and Vibration 審稿人
[09] 2018.10 至今 International Journal of Advanced Manufacturing Technology 審稿人
[10] 2016.09 至今 Nonlinear Dynamics 審稿人
[11] 2021.03 至今 Scientific Reports 審稿人
[12] 2019.04 至今 擔任IEEE International Conference on Prognostics and Health Management等多個國際會議TPC和審稿人

[1] 中國機械工業科學技術特等獎（排11），2020，中國機械工業聯合會
[2] 吳文俊人工智能科技進步獎（排10），2020，中國人工智能學會
[3] 上海市“超級博士后”激勵計劃，2019，上海人力資源和社會保障局