Group Leader
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Fani Deligianni
PhD, MSc, MSc, MEng
Professor in Trustworthy Artificial Intelligence and Computer Vision at School of Computing Science, Glasgow University
Faculty Members and Collaborators
Christos Anagnostopoulos Professor of Artificial Intelligence and Distributed Systems, UoG
Paul Henderson Senior Lecturer, UoG
Samuel Leighton Consultant Psychiatrist, NHS and ECR Fellow
Peter Macfarlane Emeritus Profesor, University of Glasgow
David Porter Professor in Magnetic Resonance Imaging Physics, UoG
Ng Pai Chet Lecturer, Singapore Institute of Technology
RAs, Honorary RAs and Fellows
Dr. Nicole Lai Research Assistant
Dr. Xiao Gu Honorary Research Associate
Kaushik Bhargav Sivangi Research Assistant/PhD Student
PhD Students
Muhammad Ilham Rizqyawan PhD Student
Muhammad Hasan Masrur PhD Student
Shuruq Alshehri PhD Student
Tianyi Yu PhD Student
Antonella Maria Aurelia Marsella PhD Student
Yiling Hu PhD Student
Harry Clark PhD Student
Zain Hussain PhD Student
Alumni and PhD Thesis Completed
Dominik Szczepaniak - PhD thesis on Shaping and Evaluating Cognitive Training in Virtual Reality Using Artificial Intelligence Agents, submitted.
Nicole Lai-Tan - PhD thesis on Towards brain-computer interfaces to personalise rhythmic interventions in human motion analysis, 2026.
Idris Zakariyya - Cybersecurity Research Associate, Alan Turing Institute, 2025.
Qianying Liu - PhD thesis on Transformers and Contrastive Semi-Supervised Learning for Medical Image Segmentation, 2025.
Muhammet Alkan - PhD Thesis on Multi-modal machine learning framework for outcome prediction in congenital heart disease, 2025.
Narinder Kaur - PhD Thesis on Cardiovascular disease in Type 2 Diabetes Mellitus: A precision medicine approach applying artificial intelligence for heart failure and mortality prediction, 2025.
Francesco Dalla Serra - EngD Thesis on Models for Chest X-Ray Radiology, 2025.
Samuel Leighton - PhD Thesis on Prognostic research in psychiatry: towards a clinically-relevant prediction model for first episode psychosis, 2024
Yola Jones - Thesis on Use of Routinely Collected Health Data to Predict Sudden Death and Other Catastrophic Events using Machine Learning, 2023
Hester Huijsdens - Research Assistant, 2022
Distinguished Undergraduate Students’ Projects:
Physics Informed Neural Networks for the Correction of Motion Artefacts due to Patient Movement During Cardiac MRI Scans, Elliot Atkinson, 2026.
Interpretable ECG Classification Using Criss-Cross Transformers and Soft Local Completeness, Joe Dunford Wood, 2026.
The effects of data augmentation techniques to improve fairness in computer vision models, Ivan I. Germanoff, 2025.
Synthetic Radar Data Generation From Video with Diffusion Models, Max MacDonald, MSci, 2025.
Privacy-Preserved Human Motion Analysis based on Radar Data, Linda Tran, MSci 2024.
Privacy Preservation in Human Motion Analysis, Boondirek Kanjanapongporn, 2024.
Human Motion Analysis - Exploration of Traditional Machine Learning and Deep Learning Based Anomaly Detection Algorithms, Titas Jonaitis, 2024.
Deep Learning Models for Classification of Real and Synthetic Human Motion, Kiril Mitkov Bikov, 2023.
Imputation Strategies for Risk Prediction Models Based on Electronic Health Records, Lee Lok Hang Toby, 2021-2022.
Development of Machine Learning Models to Detect Arrhythmia based on ECG data - Explainable Models, Hector J. Jones, 2021-2022.
Improving Explainability Using Expected Gradients for ECG Beat Classification, Anuraj Taya, 2021-2022.
Adversarial Attention for Human Motion Synthesis, Matthew Malek-Podjaski, MSci, 2021-2022.
Machine Learning Applications for the Detection and Disentanglement of Emotional States in Human Motion, 2020-2021, Matthew Malek-Podjaski. (This project is linked to Explainable, Privacy-Preserved Human Motion Analysis)
Development of Machine Learning Models to Detect Arrhythmia Based on ECG Data-Interpretability, 2020-2021, Shourya Verma.