The school is proud to announce that Wei Xiang has successfully passed his PhD viva subject to minor changes. The viva, held on the 16^th of January 2024, was examined by Prof. Ir. Dr. Raphael C.-W. Phan (external examiner) and Dr. Tomas Maul (internal examiner), and was chaired by Dr. Iman Liao. Many congratulations to Wei Xiang, who successfully defended his thesis entitled “Diabetic Retinopathy Image Classification with Quantitative Saliency-oriented Visual Explanation and SLIC-G Image Preprocessing Methods”. Wei Xiang was supervised by Dr. ZhiYuan Chen (as primary supervisor) and Dr. Amr Ahmed and Dr. Mohammad Aazam (as co-supervisors). As a parallel outcome to his thesis, Wei Xiang published the following research articles:

• W. X. Lim, Z. Chen, A. Ahmed, “The adoption of deep learning interpretability techniques on diabetic retinopathy analysis: a review,” Journal of Medical & Biological Engineering & Computing (MBEC), vol. 60, no. 3, pp. 633 - 642, 2022
• W. X. Lim, Z. Chen, “A Quantitative Interpretable Convolutional Neural Network to Diagnose Diabetic Retinopathy,” Transactions on Computational Science and Computational Intelligence, status ”Accepted, To be Printed”
• W. X. Lim, Z. Chen, A. Ahmed, T. Chandesa, I. Liao, “A Review of Machine Learning Techniques for Applied Eye Fundus and Tongue Digital Image Processing with Diabetes Management System,” arXiv:2012.15025 [eess.IV], Dec. 2020.
• E. F. Goh, Z. Chen, W. X. Lim, “Frequency Domain Convolutional Neural Network: Accelerated CNN for Large Diabetic Retinopathy Image Classification,” arXiv:2106.12736 [cs.CV], June. 2021.