- George Magoulas
- London, United Kingdom
- I am Professor of Computer Science and Director of Teaching Quality in Birkbeck’s Department of Computer Science and Information Systems, and Co-Director of the Birkbeck Knowledge Lab. I am Fellow of the Advance HE, and Member of the EPSRC College, UK. I hold BEng/MEng and Dr. Eng (University of Patras, Greece) and PGCE(HE) (Brunel University, UK). Before becoming an academic, I held R&D positions in the cement and automotive industries designing fuzzy and neural components for embedded systems. My team designs and develops innovative learning algorithms and system components that employ machine learning and deep networks, sometimes combined with symbolic AI, for psychophysiological data modelling and classification, and intelligent learning environments. The aim is to enable systems to exhibit different levels of intelligence, learn from data and transfer knowledge to new contexts. Our work has received best paper awards by 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).
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.