- 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.
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.