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London, United Kingdom
I conduct interdisciplinary research in software environments that exhibit different levels of intelligence and are capable of learning from data. My latest projects are in deep learning for psychophysiological data modelling and classification, and in intelligent learning environments. In these projects, I lead research on the development of intelligent components, which employ machine learning, sometimes combined with knowledge engineering methods, and the design and implementation of personalisation technologies. I was educated at the School of Engineering, University of Patras, Greece (BEng/MEng, Dr. Eng), and hold a PGCE from Brunel University, UK. Before joining academia I held R&D positions in the cement and automotive industries where I worked on the development of embedded systems employing soft computing and machine learning methodologies. My research received best paper awards from the IEEE (2000 and 2008), the European Network on Intelligent Technologies for Smart Adaptive Systems (2001 and 2004), the International Association for Development of the Information Society (2006), the Association for Computing Machinery (2009) and KES International (2010).

PhD students supervised



  • 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, Intelligent techniques for user modelling and their exploitation in an exploratory learning environment (completed Sept 2011). 
  • T. Lewis, Accelerating Genetic Programming Using Graphics Processing Units (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)

    Current students

  • I. Bertimas (PT), working on Content Quality and Spam in Social Media. 
  • D. Dimakopoulos (PT), working on Personalisation of E-content. 
  • A. Haq (PT), working on Exploring the VLE Effectiveness Model. 
  • K. Karoudis (formerly K. Karagkiozoglou) (PT), working on Ubiquitous Learner Modelling. 
  • M. Kelly (PT), working on Self-adaptation and Change Detection in Dynamic Environments. 
  • A. Mosca (PT), working on Deep Learning and Classifier Ensembles in Pattern Recognition Applications 
  • T. Sikora (PT), working on Design and Optimisation of Adaptive Controllers in Application Service Management Environment. 
  • C. Stamate (FT, jointly with Michael Thomas), working on Deep Networks in Psychophysiological Signal Modelling. 
  • D. Celik (FT), working on Learning Design Models and Support Tools.