I conduct basic research in machine intelligence, with an emphasis on the design of learning algorithms and architectures for machines that exhibit artificial general intelligence, as well as fundamental applied research to create real-world impact. Current applications of my work are in intelligent systems for psychophysiological data modelling and classification (neurodegenerative diseases, ASD), and in intelligent environments (learning technologies, autonomous systems for services management). Before joining academia, I held R&D positions in the cement and automotive industries working on embedded systems that integrated fuzzy logic and neural network components. My group designs and develops innovative learning algorithms, system components that employ machine learning, sometimes combined with knowledge engineering, learner models and intelligent tutors. Our work has received best paper awards from the IEEE (2000 and 2008), the European Network on Intelligent Technologies for Smart Adaptive Systems (200