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    Rui Yang received both Ph.D. degree and B.Eng degree from National University of Singapore in 2013 and 2008 respectively.

    Dr Yang is now an Assistant Professor in Xi’an Jiaotong-Liverpool Univeristy. His main research areas are fault detection, signal processing and human computer interaction using machine learning.

    Dr Yang is recruiting PhD students. Interested candidates please email him directly via: r.yang@xjtlu.edu.cn
    Rui Yang

    • Qualifications

      • PhD, National University of Singapore, Singapore
      • B.Eng, National University of Singapore, Singapore

    • Experience

      • Assistant Professor, Xi’an Jiaotong-Liverpool University, Suzhou, China
      • Honorary Lecturer, University of Liverpool, Liverpool, UK
      • Associate Professor, Shandong University of Science and Technology, Qingdao, China
      • Teaching Assistant, National University of Singapore, Singapore
      • Software Engineer, Accenture, Singapore

    • Research interests

      • Data Driven Fault Diagnosis using Machine Learning
      • Machine Learning based Human Computer Interaction

    • Articles

      • Q. Lu, R. Yang, M. Zhong, Y. Wang. An Improved Fault Diagnosis Method of Rotating Machinery using Sensitive Features and RLS-BP Neural Network. IEEE Transactions on Instrumentation & Measurement, 69(4):1585-1593, 2020
      • Z. Wang, R. Yang. Random Forest based Fault Diagnosis of Rotating Machinery Gearbox. Journal of Shandong University of Science and Technology (Natural Science), 38(5): 104-112, 2019
      • D. Guo, M. Zhong, H. Ji, Y. Liu, R Yang. A Hybrid Feature Model and Deep Learning Based Fault Diagnosis for Unmanned Aerial Vehicle Sensors. Neurocomputing, 319:155-163, 2018
      • H. Liu, M. Zhong, R. Yang. Simultaneous Disturbance Compensation and Hi/H∞Optimization in Fault Detection of UAVs, International Journal of Applied Mathematics and Computer Science, 28(2): 349-362, 2018
      • R. Yang, M. Huang, Q. Lu, M. Zhong. Rotating Machinery Fault Diagnosis Using Long-short-term Memory Recurrent Neural Network. IFAC-PapersOnLine, 51(24): 228-232, 2018
      • Q. Yang, R. Yang. Nonsingular Terminal Sliding Mode Based Passive Fault-Tolerant Control of a 3-DOF Helicopter System. IFAC-PapersOnLine, 51(24): 1368-1372, 2018
      • M. Zhong, Y. Song, T. Xue, R. Yang, W. Li. Parity Space-Based Fault Detection by Minimum Error Minimax Probability Machine. IFAC-PapersOnLine, 51(24): 1292-1297, 2018
      • X. Wang, X. Wang, C. P. Tan, R. Yang. Integration of Time-Varying Threshold-based Fault Detection and Tolerant Control. IFAC-PapersOnLine, 51 (24): 806-811, 2018
      • R. Yang. Intermittent Fault Detection Method Based on Sparse Representation. Journal of Shandong University(Engineering Science), 47(5): 51-58, 2017
      • Q. Lu, R. Yang. Comparison of Fault Diagnosis Method and Simulation of Four Main Converter of Electric Locomotive. Journal of Shandong University of Science and Technology (Natural Science), 36(4): 73-80, 2017
      • R. Yang, K. K. Tan, A. Tay, S. Huang, J. Sun, J. Y. H. Fuh, Y. S. Wong, C. S. Teo, Z. Wang. An RBF Neural Network Approach to Geometric Error Compensation with Displacement Measurements Only. Neural Computing & Applications, 1-14, 2017
      • R. Yang, P. V. Er, Z. Wang, K. K. Tan. An RBF Neural Network Approach Towards Precision Motion System with Selective Sensor Fusion. Neurocomputing, 199: 31-39, 2016
      • R. Yang, J. Y. H. Fuh, J. Sun, A. Tay, K. K. Tan, Displacement and Thermal Error Compensation using RBF Networks. Control and Intelligent Systems, 42(4): 292-301, 2014
      • P. V. Er, R. Cao, W. Liang, R. Yang, C. S. Teo, K. K. Tan. Selective Approach Towards Ro- bust Control and Accommodation of Disturbances. International Journal of Mechatronics and Automation, 4(3): 161-172, 2014
      • J. Sun, J. Y. H. Fuh, E. S. Thian, G. S. Hong, Y. S. Wong, R. Yang, K. K. Tan. Fabrication of Electronic Devices with Multi-material drop-on-demand dispensing system. International Journal of Computer Integrated Manufacturing, 26(10): 897-906, 2013.
      • K. K. Tan, S. Huang, C. S. Teo, R. Yang. Controller Design of Eddy Current Braking in An Air Bearing System. Automatica, 48(11): 2831-2836, 2012
      • J. Sun, R. Yang, K. K. Tan, J. Y. H. Fuh, Y. S. Wong, J. H. Ng. Performance Characterization of Drop-on-demand Micro-dispensing System with Multi-printheads. Microsystem Technologies, 16(12): 2087-2097, 2010

    • Proceedings

      • Y. Zhang, Y. Han, R. Yang, D. Su, Y. Wang, Y. Di, Q. Lu, M. Huang, An Improved Simultaneous Fault Diagnosis Method based on Cohesion Evaluation and BP-MLL for Rotating Machinery, 29th IEEE International Symposium on Industrial Electronics, Delft, The Netherlands, 2020
      • M. Huang, Y. Zheng, J. Zhang, B. Guo, C. Song, R. Yang, Design of a Hybrid Brain-Computer Interface and Virtual Reality System for Post-Stroke Rehabilitation, 21st IFAC World Congress, Berlin, Germany, 2020
      • Y. Zhang, R. Yang, H. Wen, JITL based Fault Detection of DAB DC-DC Converter with EPS Control, 39th Chinese Control Conference, Shenyang, China, 2020
      • Q. Lu, R. Yang, L. Cheng, M. Zhong, Bearing Fault Diagnosis based on C-RNN. Chinese Process Control Conference, Kunming, China, 2019
      • Z. Wang, M. Zhong, R. Yang, Y. Liu, An Improved Random Forest Algorithm of Fault Diag- nosis for Rotating Machinery. CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes, Xiamen, China, 2019
      • M. Huang, J. Wang, R. Yang., BP Neural Network based Fault Diagnosis in Vehicle Braking Control System. IEEE Advanced Information Management, Communicates, Electronic and Au- tomation Control Conference, Xi'an, China, 2018
      • R. Yang, M. Huang. An Online Data Driven Fault Detection Method in Dynamic Process Based on Sparse Representation. IEEE International Conference on Mechatronics and Automation, Takamatsu, Japan, 2017
      • M. Huang, I. Gibson, R. Yang. Smart Chair for Monitoring of Sitting Behavior. The International Conference on Design and Technology, Geelong, Australia, 2017
      • K. K. Tan, R. Yang, P. V. Er, A. Tay, C. S. Teo. RBF-based Compensation Method on Dis- placement and Thermal Error. IEEE International Conference on Mechatronics and Automation, Takamatsu, Japan, 2013
      • K. K. Tan, P. V. Er, R. Yang, C. S. Teo. Selective Precision Motion Control usingWeighted Sensor Fusion Approach. IEEE International Conference on Mechatronics and Automation, Takamatsu, Japan, 2013
      • J. Sun, J. H. Ng, J. Y. H. Fuh, Y. S. Wong, E. S. Thian, R. Yang, K. K. Tan. Fabrication of Electronics Devices with Multi-material Drop-on-demand Dispensing System. IEEE International Conference on Manufacturing Automation, Hong Kong, 2010
      • K. K. Tan, S. Huang, C. S. Teo and R. Yang. Damping Estimation and Control of A Con- tactless Brake System Using An Eddy Current. IEEE International Conference on Control and Automation, Xiamen, China, 2010

    • Grants

      • 2020-2022, Principle Investigator, Postgraduate Research Scholarship, Deep Learning based Machinery Remaining Useful Life Prediction, CNY 420,000
      • 2020-2021, Principle Investigator, Teaching Development Fund, Exploration of Interactive Classroom Teaching with Bullet Screen Method, CNY 50,000
      • 2020-2022, Co-Investigator, Postgraduate Research Scholarship, Research on Exoskeleton Control System based on Brain-Computer Interface, CNY 420,000
      • 2019-2022, Co-Investigator, Key Programme Special Fund-Exploratory Research Programme, Research on Exoskeleton Control Method based on Motor Imagery Brain-Computer Interface, CNY 200,000
      • 2019-2019, Principle Investigator, Summer Undergraduate Research Fellowship, Data Driven Incipient Fault-Tolerant Control for Wind Turbine Power Interface, CNY 6,630
      • 2019-2021, Co-Investigator, National Natural Science Foundation of China, Data-Driven Incipient Fault Diagnosis in Braking Control System of High-speed Train, CNY 250,000
      • 2018-2020, Co-Investigator, National Natural Science Foundation of China, Closed Loop Fault Diagnosis in Time Varying System, CNY 260,000
      • 2018-2020, Co-Investigator, National Natural Science Foundation of China, Mobile Robot Localization and Fault Diagnosis based on Wireless Sensing Network, CNY 240,000
      • 2018-2018, Principle Investigator, Qingdao Postdoc Researcher Applied Research Program, Data-Driven Incipient Fault Diagnosis, CNY 50,000
      • 2017-2019, Principle Investigator, National Natural Science Foundation of China, Compressive Sensing based Intermittent Fault Diagnosis in High-speed Train, CNY 170,000
      • 2017-2019, Co-Investigator, National Natural Science Foundation of China, Analysis and Control of Networked Switching System with Redundant Channels, CNY 200,000
      • 2017-2019, Co-Investigator, National Natural Science Foundation of China, Output Feedback Control in Uncertain System and Applications, CNY 220,000
      • 2017-2018, Principle Investigator, Applied Basic Research Program of Qingdao, Fast Intermittent Fault Diagnosis Method based on Compressed Sensing, CNY 100,000

    • Professional service activities

      • 2020, Session Chair, 39th Chinese Control Conference
      • 2020, Technical Committee Member, International Forum on Signal Processing
      • 2020-Present, Reviewer Board, Sensors

    • Courses taught

      • CSE301 Bio-Computation
      • CSE002 Professional Skills and Emerging Topics in Computer Science
      • CSE004 Professional Skills in Computer Science

    • Professional memberships

      • Member, IEEE
      • Member, Chinese Association of Automation

    • Awards and honours

      • 2020, Best Paper in 'Advances in Data Driven Process Monitoring and Control for Complex Industrial Systems' of the 29th IEEE ISIE
      • 2019, National 1st class award (cooperative robot), Siemens Cup CIMC, MOE/Siemens
      • 2019, Regional Grand award (cooperative robot), Siemens Cup CIMC, MOE/Siemens
      • 2018, Regional 2nd class award (motion control), Siemens Cup CIMC, MOE/Siemens
      • 2015, National 2nd class award (motion control), Siemens Cup CIMC, MOE/Siemens
      • 2015, Regional 2nd class award (motion control), Siemens Cup CIMC, MOE/Siemens
      • 2015, Key Member of Taishan Scholar Project of Shandong Province, China
      • 2008, 2nd Runner-Up in Agilent Engineering Excellence Program, Singapore
      • 2008, 2nd Runner-Up in Agilent VEE Challenge 2008 Contest, Asia
      • 2008, National University of Singapore Research Scholarship, Singapore
      • 2004, Ministry of Education Scholarship, Singapore

    • Telephone

      +86 (0)512 88161502

    • Email

      r.yang@xjtlu.edu.cn

    • Address

      SD533
      Science Building
      Department of Computer Science and Software Engineering
      Xi'an Jiaotong-Liverpool University
      111 Ren'ai Road
      Suzhou Dushu Lake Science and Education Innovation District
      Suzhou Industrial Park
      Suzhou
      P.R.China
      215123