You can download my full CV here: Curriculum Vitae.

🎓 Education

• 2023.11 - present, Ph.D., Pre-doctoral Fellow (FPI)
  Universitat Politècnica de Catalunya (UPC), Barcelona, Spain.
  Advisors: Prof. Francesc Pozo and Prof. Yolanda Vidal
  Research interests: Structural Health Monitoring and Condition Monitoring for Wind Turbines

• 2026.02 - 2026.06, Visiting Researcher
  University College Dublin (UCD), Dublin, Ireland.
  Advisor: Prof. Abdollah Malekjafarian
  Research topic: Structural Health Monitoring for Wind Turbine Blades

• 2016.08 - 2023.04, Master of Engineering (with distinction)
  Aeronautics and Astronautics Safety Engineering, Northwestern Polytechnical University (NPU), Xi’an, China.
  Advisor: Prof. Yongbo Li

• 2016.08 - 2020.07, Bachelor of Engineering
  Aircraft Control and Information Engineering, Northwestern Polytechnical University (NPU), Xi’an, China.
  Thesis advisor: Prof. Yongbo Li

🔬 Research Experience

• 2023.11 - present, Control, Data and Artificial Intelligence Group (CoDAlab), UPC, Barcelona, Spain.
  Advisors: Prof. Francesc Pozo and Prof. Yolanda Vidal
  Topic: AI strategies for predictive maintenance and early damage detection for wind turbines

• 2019.01 - 2023.04, Intelligent Maintenance Group (IMLab), NPU, Xi’an, China.
  Advisor: Prof. Yongbo Li
  Topic: Research on nonlinear characteristic analysis and fault diagnosis of rotating machinery based on entropy theory

🏅 Honors and Awards

• Chinese Government Award for Outstanding Self-Financed Students Abroad (CSC), 2025
• 1st Place, ASCE-EMI SHM for Wind Energy Challenge (ASCE-EMI & WeDoWind), 2025
• EAWE Scholarship (European Academy of Wind Energy), 2024
• FPI Scholarship (Spanish Ministry of Science and Innovation), 111,758€, 2024-2027
• High-Level Master’s Degree Thesis Incentive Program (Chinese Society of Astronautics), 2024
• Outstanding Master’s Graduate / Thesis (NPU), 2023
• National Scholarship (Ministry of Education of P.R. China, top 2% in NPU), 2021 and 2022
• National Encouragement Scholarship and Outstanding Student Award (Bachelor)

🎤 Presentations

• Unsupervised fault localization and root cause analysis for wind turbines via spatio-temporal representation learning. Oral: 22nd EAWE PhD Seminar, Espoo, Finland, Aug 31-Sep 4, 2026
• Unsupervised fault localization and root cause analysis for wind turbines via spatio-temporal representation learning. Oral: 8th European Conference on Structural Control (ECSC 2026), Lyon, France, Aug 25-27, 2026
• Uncertainty-aware bearing remaining useful life prediction based on conformal prediction. Oral: 9th European Conference of the PHM Society (PHME 2026), Oslo, Norway, Jul 8-10, 2026
• Wind turbine fault detection through a virtual sensor using exogenous variables. Poster: TORQUE 2026, Bruges, Belgium, Jun 3-5, 2026
• Wind turbine fault detection through a virtual sensor using exogenous variables. Poster: WindEurope Annual Conference 2026, Madrid, Spain, Apr 21-23, 2026
• Wind turbine condition monitoring using exogenous variables. Oral: 21st EAWE PhD Seminar, Athens, Greece, Oct 1-3, 2025
• Wind turbine gearbox fault detection under distribution shifts. Oral: EVACES 2025, Porto, Portugal, Jul 2-4, 2025
• Fault detection in wind turbines using health index monitoring with variational autoencoders. Oral: WESC 2025, Nantes, France, Jun 24-27, 2025
• Gearbox fault detection method under unseen working conditions and damage. Oral: CM 2024, Oxford, UK, Jun 17-20, 2024
• Two-dimensional color distribution entropy: Validation and application on non-contact fault diagnosis for induction motor. Poster: EUSIPCO 2024, Lyon, France

👨‍🏫 Teaching

• Teaching Assistant, Pattern Recognition and Analysis, Fall 2021 (NPU)
• Teaching Assistant, Machine Learning, Fall 2020 (NPU)
• Teaching Assistant, Pattern Recognition and Analysis, Fall 2020 (NPU)

📝 Academic Service

Journal Reviewer: Information Fusion, Mechanical Systems and Signal Processing, Reliability Engineering & Systems Safety, International Journal of Mechanical Sciences, IEEE Transactions on Industrial Informatics, Nonlinear Dynamics, Structural Health Monitoring, Advanced Engineering Informatics, Expert Systems with Applications, Measurement, ISA Transactions, Pattern Recognition, IEEE Sensors Journal, Biomedical Signal Processing and Control, IEEE Access.

💻 Skills

• Program languages
  C/C++, Python, MATLAB/Simulink, R, HTML, Javascript, Latex

• Deep Learning Framework
  TensorFlow, PyTorch

• Software
  Photoshop, Adobe Premiere