- George D. 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).
30 Apr 2011
E-Infrastructures and Technologies for Lifelong Learning
The book has been published by IGI Global. Book chapters are self-contained and present advanced architectures and platforms, studies of technologies adoption, development and use for lifelong learning technologies, and systems and applications that employ advanced e-learning and lifelong learning technologies to support real practices. Chapters also discuss open problems and research issues, providing insight into the future of technologies for lifelong learning. The book complements available literature on lifelong learning that concentrates on policy matters, and societal, pedagogical, and economical issues relating to or affecting lifelong learning.
