PhD Students

Current Students (PhD Program in Data Science)

Decoding Progression of the Intracranial Aneurysm Disease by Applying Probabilistic Graphical and Machine Learning Models
AI for colorectal cancer: Towards the improved consensus molecular subtype classification and interpretability
Prediction of the spin system of small molecules from high-resolution liquid NMR spectra employing machine learning techniques
Trans-omic approach to colorectal cancer: an integrative computational and clinical perspective
Multimodal computer vision system for describing and identifying old fruit varieties
Mathematical Modeling of Microsatellite Changes in Colorectal Cancer Somatic Mutagenesis
Machine Learning for Perovskite Device Simulation

Current Students (previous PhD Network in Data Science)

Estimating Dark Rates of Collusion
Improving adherence to treatment by closing the loop from one physician–patient consultation to the next
Data Distribution and Exploitation in a Global Microservice Artefact Observatory
Frequentist Estimation of Evolutionary History of Sequences with Substitutions & Indels
Deep and robust distributional regression with applications to intervention planning in acute ischemic stroke
Applying machine learning to carbon markets: Building trust for a net-zero emissions world
Real-time dynamic modelling of Human-Robot Collaboration environments and human-aware motion planning
Explaining and Predicting Spread in Networks: A Time-varying Multilayer ML Approach
Machine Learning Driven Cognitive Techniques for Trustworthy and Secure 5G/B5G

Alumni

Evaluation of Lifelong Machine Learning for Dialogue Systems
Realistic Evolutionary Models for Phylogenetic-Guided Analyses
Deep learning approaches in medical image analysis
Shape-based Analysis of Intracranial Aneurysms
Progressive Multiple Sequence Alignment with Indel Evolution