Group Leader
Fani Deligianni
PhD, MSc, MSc, MEng
Senior Lecturer at School of Computing Science, Glasgow University
Faculty Members and Collaborators
Christos Anagnostopoulos Reader, UoG
Paul Henderson Lecturer, UoG
Gruschen R Veldtman Consultant Cardiologist
Ng Pai Chet Lecturer, Singapore Institute of Technology
RAs, Honorary RAs and Fellows
Dr. Idris Zakariyya Research Associate
Xiao Gu Honorary Research Associate
Kaushik Bhargav Sivangi Research Assistant/PhD Student
PhD Students
Qianying Liu PhD Student
Muhammet Alkan PhD Student
Dominik Szczepaniak PhD Student
Nicole Lai PhD Student
Narinder Kaur PhD Student
Yiling Hu PhD Student
Harry Clark PhD Student
Zain Hussain PhD Student
Alumni
Francesco Dalla Serra - Thesis on Vision-Language Models for Chest X-Ray Radiology, submitted
Samuel Leighton - 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:
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.