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Artificial Intelligence

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 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 Tibor Bosse

'My main research goal is to develop human-like virtual characters, by endowing them with dynamic computational models of human behavior, which are rooted in psychological and social theories.'

Dr Bert Bredeweg

'My research revolves around communicative interaction, i.e. the challenge to create intelligent interactive workspaces that enable and support people to acquire skills, construct knowledge, and discover new ideas and insights.'

Dr Ulle Endriss

'I am specifically interested in collective decision making: how can we best aggregate the preferences and beliefs of several autonomous agents so as to arrive at a high-quality decision?'

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'

Dr Patrick Forré

My current research is focused on how to model, discover and deal with causal structures with feedback loops and how to apply it to big data sets taken from observational and interventional experiments.

Prof. Theo Gevers

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

Evert Haasdijk

'An important aspect of my research considers the ethical implications of autonomously adapting machines: how can we make sure that they do what we want them to, and do not do what we don't want?'

Prof. Frank van Harmelen

'Recent breakthroughs have made it possible to build a worldwide distributed  knowledge base of unprecedented scale.' 

Dr Mark Hoogendoorn

'My research is positioned on the boundary between Machine Learning and the domain of Health and Wellbeing.'

Dr Evangelos Kanoulas

'My research goal is to improve search technology for complex information access tasks and develop the appropriate user-focused evaluation methodologies.' 

Dr Michel Klein

'I focus on technology that supports people in the domain of healthcare and wellbeing, such as intelligent self-management systems for chronic patients or support systems for people with mental disorders such as depression.'

Prof. Sander Klous

'One of the main projects I'm running is about early detection of states leading to panic in stadium crowds, specifically in the Amsterdam ArenA.'

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.'

Dr Arnoud Visser

'My research interest is focused on the application of multi-robot systems, especially in RoboCup settings.'

Prof. Max Welling

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

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

Prof. 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'

'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)'