Current PhD Students:
Le Minh Thao Doan. PhD Computer Science. "Deep learning for bioimaging and multi-omics integration: case studies in breast cancer"
Suraj Verma (second supervisor). PhD Computer Science. "A multimodal deep learning approach for the integration of radiomics, multi-omics and metabolic data for Glioblastoma detection and personalised medicine"
Past PhD Students:
Noushin Eftekhari (2019-2023, second supervisor)
Past MSc Students (2023-2024):
Toyin Verity-Egho. Thesis title: "Leveraging Machine Learning for High-Dimensional Single-Cell Data: A Data Driven Approach to Spatial Transcriptomics"
Raphael Damola Ajiboye. Thesis title "Using AI and NLP to develop a voice assistance application in Neonatal Resuscitation". In collaboration with Prakash Kannan Loganathan (NHS)
Arya Prasanthan Sheeja. Thesis title "Integrative Attention Mechanisms for Multimodal Brain Tumour Segmentation and Diagnosis"
Opeyemi Adeyemo and Damilola Suleiman. Thesis title "Integrating ML and Metabolic Modelling to investigate metabolic disruptions in TNBC"
Mani Deepak Goud A. Thesis Title "Water Bodies Segmentation from High resolution remote-sensing satellite imagery using deep learning"
Visiting Researchers:
Giorgio Lo Cicero, University of Catania, Italy
Gabriella Verasani, University of Basilicata, Italy
Ainekirabo Mbabazi & Lukman Bukenya, Secondment from Makerere University, Uganda. Part of the Horizon Europe HoliCare project with Prof Zulf Ali, Teesside University