- George Magoulas
- London, United Kingdom
- I conduct interdisciplinary research that seeks to enable systems to exhibit different levels of intelligence, learn from data and transfer knowledge to new contexts. My latest projects are in deep learning for psychophysiological data modelling and classification, and in intelligent learning environments. I design and develop innovative learning algorithms, system components that employ machine learning, sometimes combined with knowledge engineering, learner models and intelligent tutors. I was educated at the University of Patras, Greece (BEng/MEng, Dr. Eng), and hold a PGCE (Brunel University, UK). Before joining academia I held R&D positions in the cement and automotive industries working on embedded systems that used soft computing and machine learning methods. 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 ACM (2009) and KES International (2010). I am a Fellow of the Higher Education Academy, and a Member of the EPSRC College, UK.
20 Mar 2013
Living Systems, Artificial Life and Intelligent Systems Design
This book, published by IGI Global, is a collection of original research and development work in artificial life, analysis and modelling of living systems, and real world applications. Synthesising and evolving intelligent behaviour, analysing natural processes and biological systems, and imitating their behaviour in complex artificial systems are considered major challenges in artificial life and intelligent systems design. Addressing these challenges requires crossing boundaries between various disciplines and thinking across established fields of study. In the first part of the book, “Analysis and Modelling of Living Systems”, contributions address open problems in living systems through new models, frameworks, and methods for describing biological and cognitive functions, natural processes and phenomena. The second part, titled “Mathematical and Analytical Techniques with Applications”, presents mathematical and analytical techniques for modelling living systems and provides insights on how these can be exploited further in real-world applications. Lastly, the third part, titled “Intelligent Information Processing and Applications”, focuses on knowledge-based and data-driven computational methods for modelling and exploratory data analysis of biological and cognitive processes.