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As for the research, I have published 19 academic papers in multi-dimensional data processing/feature extraction and fusion, data-driven twin modelling and inversion analysis. Nine are top journal articles, including NDT&E international (IF,4.0), IEEE transactions and industrial informatics (IF 11.6). IEEE Internet of Things Journal (IF,10.2), Composite Part B: Engineering (IF,11.0), Philosophical Transactions of the Royal Society A and IEEE Sensors. One of my papers about proposing an automatic delamination detection framework using Kernal Principal Component is the most cited work in the top journal(https://doi.org/10.1016/j.ndteint.2018.12.010).
Besides my track record in the field, I am also developing and delivering an agreed personal research plan and participating in institutional and collaborative research, with industry stakeholders(Rolls-Royce, GKN aerospace and the National Composite Centre), and other University partners(TU Delft, UESTC, Newcastle University)
I am also actively looking for research funding opportunities and have secured quite a few fellowship funding such as EU ITN project NDTonAIR(€3.8m), ERSRC: Techno-Economic framework for Resilient and Sustainable Electrification (EP/R030294/1) £1.0m, EPSRC grant: Certest - Certification for Design - Reshaping the Testing Pyramid, EPSRC(EP/S017038/1) £6.9m.
I am particularly excited about advancing fundamental AI capabilities while addressing pressing engineering needs in Manufacturing and Maintenance, such as AI for nondestructive testing and structural health monitoring. I look forward to exploring these multidisciplinary problems with collaborators from academia and industry.
As a researcher in Artificial Intelligence and Machine Learning, my long-term goal is to apply effective, robust, and interpretable machine learning methods to characterise, image and inversion of complex structures such as carbon fibre composites. I hope to develop physics-informed machine learning tools. My research focuses on developing AI and ML tools for various instruments, including eddy current testing, thermography and ultrasound. My developed AI tools include clustering, matrix factorisation, supervised learning, support vector machines, and deep learning networks for advancing defect detection techniques.
- Please visit the Pure Research Information Portal for further information
- CACE: A Framework for Generating Counterfactual Explanations Aligned with Causal Structure via Jointly Learned Conditional Distributions, Sanderson, J., Mao, H., Yi, Q., Woo, W. 1 Jul 2026, In: IEEE Transactions on Knowledge and Data Engineering
- Modeling and Experimental Evaluation of Eddy-Current Probes for Prepreg Fiber Waviness Inspection, Mussatayev, M., Yi, Q. 1 Jan 2026, In: NDT and E International
- Multi-objective SFC Placement with Future Demand Awareness in Dynamic Cross-Domain Networks, Zhang, J., Ma, Y., Zhang, X., Huang, Z., Yi, Q., Aslam, N. 1 Jul 2026, In: IEEE Transactions on Network and Service Management
- Noise reduction for LDC resonant eddy current using multi-scale dual-parameter reinforced-learning fusion, Lu, X., Peng, F., Wang, Z., Luo, M., Yi, Q., Tian, G. 1 Mar 2026, In: NDT and E International
- Thermography-Tomographic Imaging: Integration of Pulse Compression Thermography and Virtual Wave for Physics-Based Learning, Wang, D., Ricci, M., Laureti, S., Lu, X., Zito, R., Sfarra, S., Burgholzer, P., Tian, G., Woo, W., Yi, Q. 29 Apr 2026, In: IEEE Transactions on Industrial Informatics
- Advanced detection and reconstruction of welding Defects in irregular geometries Using Eddy Current Pulsed Thermography, Wang, D., Yi, Q., Liu, Y., Lu, R., Tian, G. 1 Sep 2025, In: NDT and E International
- Design and Comparison of Directional Transmit to Differential Receiver Eddy-Current Probe for In-Line Monitoring of Automated Fibre Placement, Mussatayev, M., Yi, Q., Wilcox, P., Hughes, R. 15 Nov 2025, In: Composites Part B: Engineering
- Microdefect Detection and Characterization Using Pot-Core Coils and LDC, Lu, X., Wang, Z., Liang, Z., Peng, F., Yi, Q., Tian, G. 15 Apr 2025, In: IEEE Sensors Journal
- Physics based Fourier Neural Operators for Efficient Virtual-Wave Inversion in Thermal Non-Destructive Evaluation, Yi, Q., Zito, R., Hui, P., Laureti, S., Ricci, M., Tian, G. 23 Jun 2025, 2025 IEEE Far East NDT New Technology & Application Forum (FENDT), Piscataway, United States, IEEE
- Principal Component Analysis based Corrosion Characterization under Coating Using Pulse Thermography, Hui, P., Yi, Q., Yang, C., Zhang, L., Li, W., Tian, G. 19 May 2025, 2025 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Piscataway, US, IEEE
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