- 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).
10 Jan 2017
New papers
Design and Evaluation of Adaptive Feedback to Foster ICT Information Processing Skills in Young Adults at DigiLEarn@WWW2017.
Training Convolutional Networks with Weight–wise Adaptive Learning Rates at the 25th ESANN 2017.
Design and evaluation of a case-based system for modelling exploratory learning behaviour of math generalisation in IEEE TLT.
Deep Learning Parkinson’s from Smartphone Data at the IEEE PerCom 2017.
