Academic staff

Master's programme Artificial Intelligence

All courses are taught by researchers who are leading scientists in their respective fields. This ensures that students receive an advanced level of academic education, based on the latest research. The majority of lecturers are also involved in collaborative projects with industry players. This combination allows students to gain in-depth understanding of academic developments as well as real-world applications.

Lecturers who teach courses in the core curriculum include:

Dr Sander Bakkes

'It is important to consider the individual user in the design and development of games. Games should ideally provide a personal experience.'

 

Dr Robert Belleman

'Data visualization is not just about making pretty pictures anymore, it is about providing visual interfaces that allow researchers to interactively explore data.'

Dr Raquel Fernandez

'My current research revolves around the semantics and pragmatics of language in interaction.I am particularly interested in investigating learning and adaptation/coordination in natural conversation, both amongst humans and in human-computer interaction'

Theo Gevers

To provide theories, representation and computational methods which are essential for automatic 3D reconstruction, recognition and printing of objects and scenes.

Dr Ben Kröse

'My research focuses on interactive smart devices, which are expected to be widely applied for smart services in health, safety, wellbeing, security and comfort'

Dr Christof Monz

'My research addresses how we can automatically analyze natural language to address information access challenges, such as information retrieval and machine translation'

Dr Joris Mooij

'I am interested in the theory and foundations of causal inference methods, as well as in their practical application, in order to assist scientists to analyze massive data sets for finding out how the world works'

Prof. Maarten de Rijke

'My current research ambitions concern two themes; Autonomous Search & Semantic Search'

Dr Khalil Sima'an

'We are interested in modeling natural language understanding for applications like machine translation, paraphrasing and summarization, tasks which we usually associate with human cognitive capability and expertise'

Dr Cees Snoek

'It is my ambition to solve the visual retrieval problem, with an ultimate personal goal to arrive at a video search engine with human perceptual skills'

Dr Ivan Titov

'I am especially interested in inducing semantic representations for reasoning from textual data, and, more generally, in teaching machines to reason.'

Prof. Max Welling

'We create statistical learning and inference algorithms that operate on a very large (big data) scale'

Dr Shimon Whiteson

'My research goal is to develop the technology required to enable the autonomous control of intelligent systems such as robots and search engines'

Dr Marcel Worring

'Finding methods to do analysis of large heterogeneous datasets with interaction surpassing man and machine intelligence and visualization blending it all in interfaces giving instant insight'

Dr Henk Zeevat

'Research ambitions:The reduction of NL pragmatics to Bayesian interpretation and the achievement of a working system for Bayesian lexical interpretation'

Dr Jelle Zuidema

'Natural language is both amazingly powerful (arguably the crucial difference between humans and other animals), and surprisingly complex and difficult to model on a computer (arguably one of the grand challenges of artificial intelligence)'

26 March 2015