معرفی
Dr. Qiuji Yi is an **Assistant Professor** in the **Computer and Information Sciences Department** at **Northumbria University**, focusing on applying artificial intelligence (AI) and machine learning (ML) to nondestructive testing (NDT) and structural health monitoring (SHM). His research develops AI-driven tools for NDT instruments like eddy current testing, thermography, and ultrasound, addressing challenges in composite materials such as carbon fiber composites. Yi holds a **PhD in Electrical and Electronic Engineering** (Awarded: 6 Apr 2021).
**Research Interests**:
- Physics-informed ML for material characterization
- Defect detection in composites using clustering, matrix factorization, and deep learning
- Integration of AI with engineering needs in manufacturing and maintenance
**Collaborations & Funding**: Collaborates with industry partners (Rolls-Royce, GKN Aerospace, National Composite Centre) and academic institutions (TU Delft, Newcastle University). Secured notable grants including the EU ITN project NDTonAIR (€3.8m), EPSRC grants (e.g., Certest: £6.9m), and the UK-Italy Trustworthy AI Visiting Researcher Award (2023).
**Key Contributions**: Published 19 papers, including high-impact journals like NDT&E International and IEEE Transactions on Industrial Informatics. Notable work includes an automatic delamination detection framework using Kernel Principal Component Analysis.
**Advising & Grants**: Accepting PhD students and actively pursuing funding for interdisciplinary projects combining AI and sustainable engineering solutions.
