The research of the CS&AI research program focuses on the cognitive sciences and artificial Intelligence, combining the measuring of mental and behavioral processing, the modelling of these processes in computational models, and the testing of these computational models with experiments. A considerable part of the research is based on the development and use of methods from data science. The research topics addressed by the group are wide and varied and are all related to aspects of cognitive science and artificial intelligence, including computational linguistics (language and text analytics), image recognition, affective computing (social signal processing), deep learning (neural networks), speech and voice analytics, multimodal communication, automated face and gesture analytics, decision making, cognitive modeling, virtual, mixed and augmented reality, (serious) gaming, robotics, and avatars.
Within our education the DCA department is responsible for the Cognitive Science & Artificial Intelligence (CSAI) Bachelor, the CSAI Master, as well as the university-wide Master Data Science & Society (formerly known as Data Science: Business and Governance). The department also contributes to the Eindhoven University of Technology / Tilburg University combined Bachelor Data Science and the Master Data Science & Entrepreneurship (Jheronimus Academy of Data Science or JADS).
A main activity of the research unit is the programming and building of robots, simulations, and games that exhibit a considerable degree of autonomous decision making. We study the behaviour of these systems in real or simulated environments in interaction with a human user. To improve their performance, we make use of data gathered through smart phones and sensor technology.
- E-health Innovations with Cognitive Neuroscience & AI
Principal Investigator: Dr. Elisabeth Huis in ‘t Veld, MBA
- AI for Robotics (AIR-Lab)
Principal Investigators: Dr. Murat Kirtay, Dr. Giacomo Spigler
- Computational Modelling of Health & Well-being Data
Principal Investigator: Dr. Drew Hendrickson
Deep Learning for Perception
The introduction of deep learning in society requires a careful calibration of human and machine decision making in contexts hallmarked by a high degree of complexity and uncertainty. In our research we study generative models of perception. We also address transparency and explainability of deep learning models, in combination with techniques designed to reduce complexity of deep learning architectures.
Computational Linguistics and Psycholinguistics
Research in the Computational Linguistics and Psycholinguistics group mainly relies on statistical machine learning and (hierarchical) Bayesian modelling, as well as advanced deep neural models for processing linguistic and visual data. A number of research projects attempt to improve our understanding of human cognition by building formal and computational models of human language acquisition and use. Knowledge of how humans process language is in turn used to develop better applied systems and general-purpose tools and techniques for processing large collections of linguistic and extralinguistic data.
Principal Investigator: Dr. Grzegorz Chrupała
- Inclusive and Sustainable Machine Translation
Principal Investigator: Dr. Dimitar Shterionov
- Computational Methods for Linguistic and Behavioral Research
Principal Investigator: Dr. Emmanuel Keuleers
Computational Models of Brain and Behaviour
The use of machine learning and deep learning algorithms to analyze neurophysiological data has improved our understanding of the human brain and allows for the creation of new types of non-invasive interfaces based on fMRI, EEG and sensor data. Researchers in the group explore a wide range of cognitive phenomena including attention, memory, perception, and production and comprehension of language, with applications in education, computational psychiatry and user-specific therapeutic interventions.
Data Science, Safety and Security
• Military decision making and intelligence analysis
• Semi-autonomous systems optimization
• Ethical aspects of AI for defense purposes
ILUSTRE - Caribbean Sustainability Lab
The Curaçao-based ILUSTRE lab is a living lab in the Caribbean
with the objective to develop, implement and test AI innovations
that will accelerate the energy transition and advance solutions in
water treatment and wastewater recycling/purification. It focuses
on long-term academic research and talent development in the
Caribbean and Latin American region to make significant steps in
attaining the United Nations Sustainable Development Goals 6
(Clean Water and Sanitation) and 7 (Affordable and Clean
Energy). The lab is a collaboration with LaNubia Consulting
(cofunding partner), the University of Curaçao, Aqualectra, WEB
Bonaire, Alliander, KPN and the Ministry of Economic
Development of Curaçao.
ELSA Lab Defence
Research collaboration with TNO, TU/Delft, NLDA, University of Leiden, Ministry of Defense, The Hague Center for Strategic Studies, HSD, Asser Institute, and The Hague University of Applied Sciences on responsible use of military AI-based applications, such as (semi-)autonomous robots and cognitive warfare, in a broad societal context.
MasterMinds AI Lab
Research collaboration with 13 industrial, governmental
and knowledge partners that aims to develop interactive AI technologies such as serious gaming, augmented, and virtual reality, intelligent tutoring systems, natural language processing, and data science.
LaRa - KPN Responsibe AI Lab
Research collaborations with the Jheronymus Academy of Data Science and KPN CRM & Analytics in data science, decision making, privacy, and compliance.