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Professor Allan Tucker
Professor

Topics

Data Science

Artificial Intelligence

Medical Informatics

Environmental Informatics

PhD projects for research students

Research supervision

Completed PhD Students:

  • STEELE Emma (First supervisor): \"Combining Heterogeneous Sources of Data for the Reverse-Engineering of Gene Regulatory Networks\" (Completed 2009)
  • ANVAR Yahya (Co-Promoter with Leiden University Medical Centre, Netherlands): \"Converging models for interspecies transcriptome studies of human diseases\" (2012)
  • HASSAN Fadratul (First supervisor): \"Using Uniform Crossover to Refine Simulated Annealing Solutions for the Automatic Design of Spatial Layouts\" (2013)
  • CECCON Stefano (First supervisor): \"The Identification and Modelling of Key Stages in a Temporal Process\" (2013)
  • LI Yuanxi (First supervisor): \"The Exploitation of Cross-Sectional Studies to Infer Disease Processes\" (2014)
  • BO Valeria (First supervisor): \"The Integration of Multiple Data Sources for Building Robust Gene Regulatory Networks\" (2014)
  • TRIFFONOVA Neda (1st Supervisor): \" A Data-Oriented Predictive Ecology Approach to Modelling Fish Communities during Regime Shifts\" (2015)
  • FRANCO Chiara (2nd supervisor in conjunction with Essex University), \"A Bayesian Network approach for assessing rate of changes in coral reef ecosystems \" (2015)
  • HARWOOD Nathanial "A rise in the frequency of extreme weather in response to Arctic amplification and its implications for European decision-making: A Big Data Perspective" (2017)
  • NICOLSON Nicky (First Supervisor) "Biodiversity Informatics" (2018)
  • YOUSEFI Leila (First Supervisor) "Latent Models for Predicting Comorbidities in Diabetes" (2021)
  • AL LUHAYBI Mashael (First Supervisor) "Predicting Student Outcome from Higher Education Data" (2021)
  • GHOSHAL Biraja (First Supervisor) "When the Machine Does not Know" (2022)
  • SAJJADI Erfan: "Discovering Disease Subtypes for Personalised Medicine" (2023)
  • ALYOUSEF Awad: "Personalised Models of Disease" (2023)
  • EVANS Ben: "AI for Camera Trap Models" (2025)

Current PhD Students:

  • Toyah Overton: "dunXai: DO-U-Net for Explainable(Multi-Label) Image Classification"
  • Ylenia Rotalinti: "How to Handle Bias within AI in Healthcare"
  • Barbara Draghi: "Synthetic Data for Simulating and Boosting Clinical Trials"
  • Manoj Sinha: "Explainability and Interpretability in AI for Clinical Trust"
  • Anna Pazola: "Improved estimation of global-scale changes in groundwater storage using machine learning"
  • Suzy Zhu: "Exploring how active learning and explainable AI can help deal with bias in machine learning classifiers"
  • Dima Alattal: "The Interaction between AI Technology Innovation and AI Regulation in the Healthcare Sector"

I have acted as internal (seven times) and external examiner - Imperial College London (four times). University of the Basque Country (once), Radboud University (twice), Leiden University (twice), Cambridge University (once), University of Porto (once), University of Stockholm (twice), York University (once), University of Salerno (twice).