Simon Keizer

Simon Keizer is a research scientist in natural language processing and machine learning, specialised in spoken dialogue systems.

He has a BSc/MSc in Applied Mathematics and a PhD in Computer Science, both obtained at the University of Twente (NL). Since getting his PhD, Simon has been active in the area of spoken dialogue systems and multimodal interaction for nearly 16 years, focusing mainly on dialogue management and user modelling/simulation, and the use of machine learning techniques in this context. In positions at the universities of Tilburg (NL), Cambridge (UK), Heriot-Watt (Edinburgh, UK), and the Vrije Universiteit Brussel (Belgium), he has been involved in several national and international collaborative research projects. He has been programme committee member of various conferences including SIGdial, ACL, and Interspeech. Currently, his main research interest is developing domain adaptation techniques for dialogue systems.

After a short spell at Emotech North Ltd (London/Edinburgh), Simon is currently on a break, looking for new opportunities.

PhD Thesis

Reasoning under uncertainty in natural language dialogue using Bayesian networks [pdf]

Twente University Press, Sept 2003, ISBN 9036519519