- 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 Jan 2019
New papers
Neural Adaptive Admission Control Framework: SLA-Driven Action Termination for Real-Time Application Service Management, in Enterprise Information Systems
Customised Ensemble Methodologies for Deep Learning: Boosted Residual Networks and Related Approaches, in Neural Computing and Applications.
User Model Interoperability in Education: Sharing Learner Data Using the Experience API and Distributed Ledger Technology, in Responsible Analytics and Data Mining in Education, Badrul H. Khan, Joseph Rene Corbeil, Maria Elena Corbeil (eds), Routledge.
