PhD students
Current students
A. Bekiaris, Multi-agent transfer learning for sequential decision making in finance.
D. Dimakopoulos (writing up), Personalisation in learning design context.
M. Grochmal (break-in-study), Non-extensive statistical mechanics of learning.
K. Karoudis, Ubiquitous lifelong learner modelling.
M. Kelly (break-in-study), Hyperparameter control for deep networks.
A. Mosca (writing up), Construction and training of neural ensembles in deep learning context.
K. Neys (break-in-study), Graph neural networks.
C. Stamate (writing up; in collaboration with Michael Thomas), Deep networks in psychophysiological signals modelling and classification.
A.F. Foster (break-in-study; in collaboration with George Roussos), Inference at the edge: embedded deep learning for veterinary applications.
Completed students
A. Anastasiadis, Neural network training and applications using biological data (completed April 2006)
Z. Voulgaris, Discernibility Concept in Classification Problems (completed March 2009).
C-C. Peng, Deterministic nonmonotone training of recurrent neural networks and applications using symbolic sequence data (completed March 2011).
M. Cocea, User Modelling and Adaptation in Exploratory Learning (completed Sept 2011).
T. Lewis, Accelerating Genetic Programming Using Graphics Processing Units-GPUs (completed March 2012).
S. Adam: Development and Foundation of Methods and Algorithms for Reliable Neural Computation (completed Jan 2016; jointly supervised with Michael Vrahatis and Dimitris Karras).
M. Kohli, Evolving Neural Networks Using Behavioural Genetics Principles (completed March 2017; jointly supervised with Michael Thomas)
D. Celik, Sociomaterial Perspective of Learning Design Practice and Its Implications on Learning Design Software Development (completed Sept 2021).
A. Haq, Grounded Theory Approach for the Development of a New Effectiveness Model for E-Learning Services and its Validation Through Partial Least Squares Structural Equation Modelling (completed June 2022).
T. Sikora, Adaptive Monitoring and Control Framework in Application Service Management Environment (completed Dec 2022).
N. Herzog , Deep learning of brain asymmetry digital biomarkers to support early diagnosis of cognitive decline and dementia (completed 2023).
Q. Song, A Computational Investigation of Polygenic Index and Individual Differences in Intervention Effect (submitted April 2024; in collaboration with Michael Thomas).