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Flanders AI

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<p>The Flanders AI Research Program stands for strategic basic research into artificial intelligence, based on the needs and demands of companies, organizations, the government, and citizens.</p>

Our activities

<p>Our goal is the <strong>successful adoption of AI</strong>&nbsp;in Flanders. In this way, we contribute to a sustainable and prosperous human-centered digital future in Flanders, as well to economic growth and innovation in our region. All our research is also aligned with the European ambition and strategies for AI and the digital agenda for 2030. &nbsp;</p>

Our goal

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Projects with Flemish public funding

What we can do for you

<h3>General website</h3>
<p><strong>Leuven.AI</strong>: The KU Leuven Institute for Artificial Intelligence</p>
<p><a title="AI KULeuven" href="https://ai.kuleuven.be/" target="_blank" rel="noopener">https://ai.kuleuven.be/</a></p>
<p>&nbsp;</p>
<h3>Labs and research groups</h3>
<h5>DTAI (Declarative Languages and Artificial Intelligence)</h5>
<p><strong>Website</strong>: <a href="https://dtai.cs.kuleuven.be" target="_blank" rel="noopener">https://dtai.cs.kuleuven.be</a></p>
<p><strong>Contacts</strong>: Wannes Meert, Jessa Bekker</p>
<p><strong>Research Managers</strong>: Wannes Meert (IOF), Jessa Bekker</p>
<p><strong>PIs</strong>: Hendrik Blockeel, Luc De Raedt, Anastasia Dimou, Angelika Kimmig, Giuseppe Marra, Jesse Davis, Joost Vennekens, Marc Denecker, Mathias Verbeke, Peter Karsmakers, Tias Guns</p>
<p><strong>Research Topics</strong>: Neuro-Symbolic, Automated data science, Anomaly Detection, Constraints, Knowledge based systems, Predictive learning and clustering, Privacy, Non-discrimination and ethical aspects, Probabilistic programming and statistical relational learning, Semantic Web and Knowledge Graphs, Verification of AI and machine learning, Computational Creativity, Sports Analytics.</p>
<p>&nbsp;</p>
<h5>STADIUS (Center for Dynamical Systems, Signal Processing, and Data Analytics)</h5>
<p><strong>Website</strong>: <a title="STADIUS KULeuven" href="https://www.esat.kuleuven.be/stadius/" target="_blank" rel="noopener">https://www.esat.kuleuven.be/stadius/</a></p>
<p><strong>Contacts</strong>:&nbsp; Toon van Waterschoot, Bart De Moor</p>
<p><strong>PIs</strong>: Bart De Moor, Yves Moreau, Alexander Bertrand, Bart Vanrumste, Johan Suykens, Lieven De Lathauwer, Maarten De Vos, Toon Van Waterschoot</p>
<p><strong>Research Topics</strong>: Mathematical Engineering, System identification and modelling, numerical (multi-) linear algebra, Optimization,&nbsp; Data mining, Data Assimilation, Systems and Control theory, Machine learning and Deep learning, Biomedical data analysis and signal processing, Industrial automation and control, Speech and audio signal processing, Digital communications, Bioinformatics.</p>
<p>&nbsp;</p>
<h5>PSI (Processing Speech and Images)</h5>
<p><strong>Website</strong>: <a title="PSI KULeuven" href="https://www.esat.kuleuven.be/psi" target="_blank" rel="noopener">https://www.esat.kuleuven.be/psi</a></p>
<p><strong>Contacts</strong>: Frederik Maes, Tinne Tuytelaars, Matthew Blaschko, Hugo Van Hamme</p>
<p><strong>Project Manager</strong>: Paul Konijn</p>
<p><strong>PIs</strong>: Tinne Tuytelaars, Matthew Blaschko, Frederik Maes, Hugo Van Hamme</p>
<p><strong>Research Topics</strong>: Image and Speech Processing, Medical Imaging, Computer vision, Machine Learning, Audio Processing, Continual Learning</p>
<p>&nbsp;</p>
<h5>LMSD (Mecha(tro)nic System Dynamics)&nbsp;</h5>
<p><strong>Website</strong>: <a href="https://www.mech.kuleuven.be/en/mod" target="_blank" rel="noopener">https://www.mech.kuleuven.be/en/mod</a></p>
<p><strong>Contacts</strong>: Konstantinos Gryllias, Bert Pluymers</p>
<p><strong>Industrial Research Manager</strong>: Bert Pluymers</p>
<p><strong>PIs</strong>: Konstantinos Gryllias</p>
<p><strong>Research Topics</strong>: Dynamics, Acoustics, Vibration, Design, Monitoring, Prognostics, Machine learning, Digital Twins, Model Based Systems Engineering, Industry4.0.</p>
<p>&nbsp;</p>
<h5>MICAS (Microelectronics and Sensors)</h5>
<p><strong>Website</strong>: <a href="https://micas.esat.kuleuven.be/" target="_blank" rel="noopener">https://micas.esat.kuleuven.be/</a></p>
<p><strong>Contact</strong>: David Maes</p>
<p><strong>Research Valorization Manager</strong>: David Maes</p>
<p><strong>PIs</strong>: Marian Verhelst</p>
<p><strong>Research Topics</strong>: Multi-core ML platforms, Custom compilation infrastructure, Design space exploration platforms, Chiplets and interposers.</p>
<p>&nbsp;</p>
<h5>EAVISE (Embedded and Artificially intelligent VISion Engineering)</h5>
<p><strong>Website</strong>: <a title="EAVISE KULeuven" href="https://iiw.kuleuven.be/onderzoek/eavise" target="_blank" rel="noopener">https://iiw.kuleuven.be/onderzoek/eavise</a></p>
<p><strong>Contact</strong>: Toon Goedem&eacute;</p>
<p><strong>PIs</strong>: Toon Goedem&eacute;</p>
<p><strong>Research Topics</strong>: Embedded AI, Real-time Image and Speech Processing, Computer vision, Sensor fusion</p>
<p>&nbsp;</p>
<h5>ITEC (Smart technologies for impact in education and health)</h5>
<p><strong>Website</strong>: <a title="itec KULeuven" href="https://itec.kuleuven-kulak.be/" target="_blank" rel="noopener">https://itec.kuleuven-kulak.be/</a></p>
<p><strong>Contacts</strong>: Celine Vens, Frederik Cornillie</p>
<p><strong>Research Manager</strong>: Frederik Cornillie</p>
<p><strong>PIs</strong>: Celine Vens</p>
<p><strong>Research Topics</strong>: Explainable AI, Machine learning, Predictive modelling, Survival analysis, (Semi-)supervised learning, Active learning, Multi-output learning.</p>
<p>&nbsp;</p>
<h5>LIIR Lab</h5>
<p>Website: <a title="LIIR Lab KULeuven" href="https://liir.cs.kuleuven.be/" target="_blank" rel="noopener">https://liir.cs.kuleuven.be/</a></p>
<p><strong>Contact</strong>: Sien Moens</p>
<p><strong>PIs</strong>: Sien Moens</p>
<p><strong>Research Topics</strong>: Natural language understanding and generation, multimodal representation learning, Knowledge extraction, Machine learning.</p>
<p>&nbsp;</p>
<h5>Augment</h5>
<p>Website: <a href="https://wms.cs.kuleuven.be/cs/onderzoek/augment/" target="_blank" rel="noopener">https://wms.cs.kuleuven.be/cs/onderzoek/augment/</a></p>
<p><strong>Contacts</strong>: Katrien Verbert</p>
<p><strong>PIs</strong>: Katrien Verbert</p>
<p><strong>Research Topics</strong>: Human-Centered AI, Visualisation techniques, recommender systems, explainable AI, and visual analytics.</p>
<p>&nbsp;</p>

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KU Leuven

<h4>General website AI research groups</h4>
<p><a href="https://ai.ugent.be/index.en.html" target="_blank" rel="noopener">https://ai.ugent.be</a></p>
<p>&nbsp;</p>
<h4>IDLab (Internet Technology and Data Science Lab)&nbsp;</h4>
<p>Website: <a href="https://www.ugent.be/ea/idlab/en" target="_blank" rel="noopener">https://www.ugent.be/ea/idlab/en</a></p>
<p>Contact: Piet Demeester</p>
<p>IDLab teams involved in FAIR</p>
<p><strong><a href="https://www.ugent.be/ea/idlab/en/research/ai-for-robotics-and-iot/machine-learning-at-the-edge.htm" target="_blank" rel="noopener">IDLab - Distributed Machine Learning&nbsp;</a></strong></p>
<p>Contacts: Bart Dhoedt, Pieter Simoens&nbsp;</p>
<p>Topics: Optimised distribution of intelligence across sensors, actuators, edge nodes and the cloud.&nbsp;</p>
<p><strong><a href="https://aida.ugent.be/" target="_blank" rel="noopener">IDLab - AIDA Lab</a>&nbsp;</strong></p>
<p>Contacts: Tijl De Bie, Jefrey Lijffijt</p>
<p>Topics: Data visualization and pattern mining,&nbsp; graph mining, AI ethics and fairness</p>
<p><strong><a href="https://airo.ugent.be/" target="_blank" rel="noopener">IDLab - AIRO</a></strong></p>
<p>Contacts: Tony Belpaeme, Francis Wyffels</p>
<p>Topics: Smart compliant robots, social robotics</p>
<p><a href="https://sumo.ilabt.imec.be" target="_blank" rel="noopener"><strong>IDLab - SUMO Lab</strong></a></p>
<p>Contacts: Tom Dhaene, Ivo Couckuyt, Dirk Deschrijver</p>
<p>Topics: Data-efficient machine learning, surrogate modeling</p>
<p><strong><a href="https://predict.idlab.ugent.be/" target="_blank" rel="noopener">IDLab - PreDiCT</a></strong></p>
<p>Contact: Sofie Van Hoecke</p>
<p>Topics: Hybrid machine learning, predictive maintenance, predictive healthcare</p>
<p><strong><a href="https://knows.idlab.ugent.be/" target="_blank" rel="noopener">IDLab - KnoWS</a></strong></p>
<p>Contact: Femke Ongenae</p>
<p>Topics: Knowledge graphs, query processing</p>
<p><strong>IDLab - Wireless Networking</strong></p>
<p>Contact: Ingrid Moerman, Jeroen Hoebeke</p>
<p>Topics: Time sensitive networks</p>
<p><strong><a href="https://ugentt2k.github.io/" target="_blank" rel="noopener">IDLab - T2K</a></strong></p>
<p>Contact: Chris Develder, Thomas Demeester</p>
<p>Topics: Text to knowledge, natural language processing, information extraction</p>
<h5>&nbsp;</h5>
<h5>DAMBI (Data Mining and Modelling for Biomedicine)</h5>
<p>Website: <a href="https://www.irc.ugent.be/index.php/" target="_blank" rel="noopener">https://www.irc.ugent.be/index.php/</a></p>
<p>Contact: Yvan Saeys</p>
<p>Topics: Trustworthy ML models, structure learning for single-cell &ldquo;omics&rdquo;, clinical applications of single-cell technologies</p>
<h5>&nbsp;</h5>
<h5>DDCM (Database, Document and Content Management)</h5>
<p>Website: <a title="DDCM UGent" href="https://ddcm.ugent.be/" target="_blank" rel="noopener">https://ddcm.ugent.be/</a></p>
<p>Contact: Guy De Tr&eacute;</p>
<p>Topics: Data integration, data quality, big data management, decision support</p>
<p>&nbsp;</p>
<h5>D2LAB (Dynamics Design Lab) / MIRO (Machines, Intelligence, Robotics and electrO-mechanical systems)</h5>
<p>Website: <a href="https://dynamics.ugent.be" target="_blank" rel="noopener">https://dynamics.ugent.be</a></p>
<p>Contact: Guillaume Crevecoeur</p>
<p>Topics: Physics-based learning with hybrid models (physics x AI) and hybrid control (CTRL x AI) for real-world applications</p>
<p>&nbsp;</p>
<h5>GAIM (Group for Artificial Intelligence and Sparse Modelling)</h5>
<p>Website: <a title="GAIM UGent" href="https://gaim.ugent.be/" target="_blank" rel="noopener">https://gaim.ugent.be/</a></p>
<p>Contact: Aleksandra Pizurica</p>
<p>Topics: Sparse modelling in high-dimensional data analysis, graphicla models in sparse image recovery</p>
<p>&nbsp;</p>
<h5>IPI (Image Processing and Interpretation)</h5>
<p>Website: <a title="IPI UGent" href="https://ipi.ugent.be/" target="_blank" rel="noopener">https://ipi.ugent.be/</a></p>
<p>Contacts: Wilfried Philips, Bart Goossens</p>
<p>Topics: Context-adaptive AI, cooperative sensing, scalable learning on the edge</p>
<p>&nbsp;</p>
<h5>KERMIT (Knowledge-based Systems)</h5>
<p>Website: <a title="Kermit UGent" href="https://kermit.ugent.be/" target="_blank" rel="noopener">https://kermit.ugent.be/</a></p>
<p>Contacts: Bernard De Baets, Jan Verwaeren, BIOML Willem Waegeman</p>
<p>Topics: Mathematical and computational modelling, multi-target predictions</p>
<p>&nbsp;</p>
<h5>BIOML (ML for Life Sciences)</h5>
<p>Website: <a href="https://willemwaegeman.github.io/bioml/" target="_blank" rel="noopener">https://willemwaegeman.github.io/bioml/</a></p>
<p>Contacts: Willem Waegeman</p>
<p>Topics: Uncertainty in AI, multi-target predictions</p>
<h5>&nbsp;</h5>
<h5>LT3 (Language and Translation Technology Team)</h5>
<p>Website: <a title="LT3 UGent" href="https://lt3.ugent.be/" target="_blank" rel="noopener">https://lt3.ugent.be/</a></p>
<p>Contact: Veronique Hoste</p>
<p>Topics: Fine-grained modelling of sentiment and emotion, event-based information extraction, empathy in multimodal conversational agents</p>
<p>&nbsp;</p>
<h5>MICT (Media, Innovation and Communication Technologies)</h5>
<p>Website: <a title="MICT UGent" href="https://www.ugent.be/mict/en" target="_blank" rel="noopener">https://www.ugent.be/mict/en</a></p>
<p>Contacts: Jelle Saldien</p>
<p>Topics: Conversational agents, generating human behaviour data to train ML algorithms, monitoring of AI adoption</p>
<p>&nbsp;</p>
<h5>WAVES (Wireless, Acoustics, Environment &amp; Expert Systems)</h5>
<p>Website: <a title="WAVES UGent" href="https://www.waves.intec.ugent.be/" target="_blank" rel="noopener">https://www.waves.intec.ugent.be/</a></p>
<p>Contacts: Dick Botteldooren, Luc Martens</p>
<p>Topics: Sound interpretation, human-like representation, AI-based active model learning</p>

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Universiteit Gent

<h4>General website</h4>
<p><a href="https://ai.vub.ac.be/" target="_blank" rel="noopener">https://ai.vub.ac.be/</a></p>
<h4>&nbsp;</h4>
<h4>Labs and research groups</h4>
<h5>&nbsp;</h5>
<h5>Artificial Intelligence Lab</h5>
<p><strong>Website:</strong> <a title="VUB AI Lab" href="https://ai.vub.ac.be/" target="_blank" rel="noopener">https://ai.vub.ac.be/</a></p>
<p><strong>Contacts:</strong> <a href="https://ai.vub.ac.be/team/ann-nowe/" target="_blank" rel="noopener">Ann Now&eacute;</a>, <a href="https://ai.vub.ac.be/team/leander-schietgat/" target="_blank" rel="noopener">Leander Schietgat</a></p>
<p><strong>Valorization Manager:</strong> <a href="https://ai.vub.ac.be/team/nivedita_yadav/" target="_blank" rel="noopener">Nivedita Yadav</a></p>
<p><strong>PIs:</strong> Ann Now&eacute;, Bart De Boer, Bart Bogaerts, Geraint Wiggins, Lynn Houthuys, Pieter Libin, Paul Van Eecke, Tom Lenaerts</p>
<p><strong>Keywords:</strong> Multi-Agent Systems, Reinforcement Learning, Fleet Control, Explainable &amp; Transparent AI, Emergent Communication, Multi-Objective Decision Problems, Game Theory, Computational Creativity</p>
<p>&nbsp;</p>
<h5>Data Analytics Lab</h5>
<p><strong>Website:</strong> <a href="https://data.research.vub.be/" target="_blank" rel="noopener">https://data.research.vub.be/</a></p>
<p><strong>Contact: </strong><a href="https://ai.vub.ac.be/team/leander-schietgat/" target="_blank" rel="noopener">Leander Schietgat</a></p>
<p><strong>Valorization Manager:</strong> <a href="https://ai.vub.ac.be/team/nivedita_yadav/" target="_blank" rel="noopener">Nivedita Yadav</a></p>
<p><strong>PI:</strong> Vincent Ginis</p>
<p><strong>Keywords:</strong> Fairness in AI, Complex Systems, Generative AI</p>
<p>&nbsp;</p>
<h5>Digital Mathematics</h5>
<p><strong>Website:</strong> <a href="https://wids.research.vub.be/en/node/169/#DIMA" target="_blank" rel="noopener">https://wids.research.vub.be/en/node/169/#DIMA</a></p>
<p><strong>Contact: </strong><a href="https://ai.vub.ac.be/team/leander-schietgat/" target="_blank" rel="noopener">Leander Schietgat</a></p>
<p><strong>Valorization Manager:</strong> <a href="https://ai.vub.ac.be/team/nivedita_yadav/" target="_blank" rel="noopener">Nivedita Yadav</a></p>
<p><strong>PI:</strong> Ann Dooms</p>
<p><strong>Keywords: </strong>Mathematical foundations for digital data science, including pattern recognition, computer vision, Natural Language Processing, machine learning and information forensics &amp; security with applications in, amongst others, document processing, painting analysis, medical imaging, explainable AI and post-quantum cryptography.</p>
<p>&nbsp;</p>
<h5>Brubotics</h5>
<p><strong>Website:</strong> <a href="https://www.brubotics.eu/" target="_blank" rel="noopener">https://www.brubotics.eu/</a></p>
<p><strong>Contacts:</strong> <a href="http://mech.vub.ac.be/multibody/members/simon.htm" target="_blank" rel="noopener">Simon Beckers</a>, <a href="https://www.brubotics.eu/contact" target="_blank" rel="noopener">Lucas Secades</a></p>
<p><strong>PI:</strong> Bram Vanderborght</p>
<p><strong>Keywords:</strong> Robotic Actuation, Self-Healing Robotics, Exoskeletons, Bionic Prostheses, Collaborative Robots, Rehabilitation Robotics, Social Robotics<br /><br /></p>
<h5>ETRO</h5>
<p><strong>Website:</strong> <a href="https://www.etrovub.be/" target="_blank" rel="noopener">https://www.etrovub.be/</a></p>
<p><strong>Contacts:</strong> Nikos Deligiannis, Adrian Munteanu</p>
<p><strong>PI:</strong> Nikos Deligiannis</p>
<p><strong>Keywords: </strong>Machine learning and signal processing, focusing on theory and architectures for Explainable AI, &nbsp;Distributed/Federated AI, sparse signal processing; Big data sensing, processing, and analysis, addressing applications in social media data analytics (e.g., Fake news detection), smart city data analytics (hyperlocal air-pollution estimation, traffic event detection); Multimodal visual computing, focusing on the processing and analysis of diverse imaging modalities with various applications from entertainment and surveillance to non-destructive testing; Natural language processing (fact verification and automated clinical coding).</p>
<p>&nbsp;</p>
<h5>Acoustics and Vibractions Research Group</h5>
<p><strong>Website:</strong> <a title="AVRG VUB" href="https://avrg.vub.be/" target="_blank" rel="noopener">https://avrg.vub.be/</a></p>
<p><strong>Contact:</strong> Jan Helsen</p>
<p><strong>PI:</strong> Jan Helsen</p>
<p><strong>Keywords:</strong> Off-shore wind energy, Predictive Maintenance, Health-aware Control</p>

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Vrije Universiteit Brussel

<h4>&nbsp;</h4>
<h4>General website</h4>
<p><a href="https://www.uantwerpen.be/en/research-groups/idlab/research/artificial-intelligence/" target="_blank" rel="noopener">https://www.uantwerpen.be/</a></p>
<p>&nbsp;</p>
<h4>FAIR labs and research groups</h4>
<h5>Applied Data Mining</h5>
<p>Website: <a title="Applied Data Mining UAntwerpen" href="https://www.uantwerpen.be/en/research-groups/applied-data-mining/" target="_blank" rel="noopener">https://www.uantwerpen.be/en/research-groups/applied-data-mining/</a></p>
<p>Contact: David Martens (<a href="mailto:david.martens@uantwerpen.be" target="_blank" rel="noopener">david.martens@uantwerpen.be</a>)</p>
<p>PIs: David Martens</p>
<p>The Applied Data Mining Research Group works on the development and use of data mining techniques for a better decision making process. A specific focus lies with building classification models using fine-grained, massive behavior data, such as payment, location or website visitation data.</p>
<p>Research areas:</p>
<ul>
<li>Mobile Advertising</li>
<li>Social Network Analysis</li>
<li>Mining Behavioural Big Data</li>
<li>Explaining Documents' Classification</li>
<li>Rule Extraction</li>
<li>Bigraph Social Networks</li>
<li>Credit Scoring</li>
<li>Swarm Intelligence for Data Mining</li>
<li>Text Mining for Politics</li>
<li>Explaining Deep Learning Models</li>
<li>Customs Fraud Detection</li>
</ul>
<p>&nbsp;</p>
<h5>IDLab</h5>
<p>Website: <a title="IDLab UAntwerpen" href="https://www.uantwerpen.be/en/research-groups/idlab/" target="_blank" rel="noopener">https://www.uantwerpen.be/en/research-groups/idlab/</a></p>
<p>&nbsp;</p>
<p>Contact: Jos&eacute; Oramas (jose.oramas@uantwerpen.be)</p>
<p>PIs: Jos&eacute; Oramas, Kevin Mets, Jeroen Famaey</p>
<p>IDLab targets the most daunting challenges industry is facing to deliver digital transformation, connecting everything and extracting high value from data.</p>
<p>Research areas:</p>
<ul>
<li>
<p>​Advanced control systems​</p>
</li>
<li>
<p>​Flexible &amp; deterministic networking​</p>
</li>
<li>
<p>​Localisation, tracking &amp; sensing​</p>
</li>
<li>
<p>​Modeling of complex systems​</p>
</li>
<li>
<p>​Perception and representation​</p>
</li>
<li>
<p>Resource-aware AI​</p>
</li>
<li>
<p>​Space research​</p>
</li>
<li>
<p>​Sustainable IoT</p>
</li>
</ul>
<p>&nbsp;</p>
<h5>Adrem Data Lab&nbsp;</h5>
<p>Website: <a title="Adrem Data Lab UAntwerpen" href="https://www.uantwerpen.be/en/research-groups/adrem-data-lab/" target="_blank" rel="noopener">https://www.uantwerpen.be/en/research-groups/adrem-data-lab/</a></p>
<p>Contact: Bart Goethals (<a href="mailto:bart.goethals@uantwerpen.be" target="_blank" rel="noopener">bart.goethals@uantwerpen.be</a>)</p>
<p>PIs: Bart Goethals, Kris Laukens, Toon Calders</p>
<p>The lab builds on a long standing and internationally strong reputation ranging from the theoretical foundations to the practical application of data sciences. The nexus between theory and applications positions the lab in a unique way. From its embedding in the department of Mathematics and Computer Science, the lab covers many important facets required to manage, query, interpret and analyze data, in all its forms. This results in a broad and recognised excellence in areas ranging from data management, data cleaning, data mining, machine learning, and artificial intelligence.</p>
<p>Research areas:</p>
<ul>
<li>Algorithmic fairness, accountability, provenance and transparency</li>
<li>The dynamics of interaction networks</li>
<li>Data management aspects of machine learning methods and the scalability of data analytic queries</li>
<li>Development and application of AI methods for data cleaning</li>
<li>The foundations of recommendation systems and their evaluation</li>
<li>Interactive pattern exploration and application</li>
<li>Domain expert-driven feature engineering</li>
<li>AI driven decision support systems</li>
</ul>
<p>&nbsp;</p>
<h5>CLiPS</h5>
<p>Website: <a title="CLiPS UAntwerpen" href="https://www.uantwerpen.be/en/research-groups/clips/" target="_blank" rel="noopener">https://www.uantwerpen.be/en/research-groups/clips/</a></p>
<p>Contact: Walter Daelemans (<a href="mailto:walter.daelemans@uantwerpen.be" target="_blank" rel="noopener">walter.daelemans@uantwerpen.be</a>)</p>
<p>PIs: Walter Daelemans</p>
<p>The CLiPS (Computational Linguistics, Psycholinguistics and Sociolinguistics) research center is associated with the Linguistics department of the faculty of Arts of the University of Antwerp.&nbsp;</p>
<p>CLiPS undertakes research in and produces resources for (developmental) psycholinguistics, sociolinguistics, and computational linguistics, and investigates the interdisciplinary combinations of these disciplines. We provide a unique combination of methodologies in our study of language: empirical psycholinguistic methods, corpus linguistics, and computational modeling.</p>
<p>Research areas:</p>
<ul>
<li>(developmental) Psycholinguistics</li>
<li>Sociolinguistics</li>
<li>Computational linguistics</li>
</ul>
<p>&nbsp;</p>
<h5>Applied Mathematics</h5>
<p>Website: <a href="https://www.uantwerpen.be/en/research-groups/applied-mathematics/" target="_blank" rel="noopener">https://www.uantwerpen.be/en/research-groups/applied-mathematics/</a>&nbsp;</p>
<p>Contacts: Tim Verdonck (<a href="mailto:tim.verdonck@uantwerpen.be" target="_blank" rel="noopener">tim.verdonck@uantwerpen.be</a>)</p>
<p>PIs: Tim Verdonck</p>
<p>The Applied Mathematics research team is committed to developing, analyzing and implementing numerical and mathematical methods and algorithms for large-scale simulations with applications in real-life scientific, financial and industrial problems. These methods allow the use of state-of-the-art mathematical models for realistic present-day problems with multiple variables in many dimensions and in their full complexity.</p>
<p>Our main focus lies on the study various types of multivariate and multi-dimensional partial differential equations (PDEs), which are of key importance in mathematics and a broad variety of application areas.</p>
<p>Research areas:</p>
<ul>
<li>Financial numerical mathematics</li>
<li>Mathematical methods for physics, biology and chemistry</li>
<li>Numerical methods for astrophysics</li>
</ul>
<p>&nbsp;</p>
<h5>Vision lab</h5>
<p>Website: <a title="Vision lab UAntwerpen" href="https://www.uantwerpen.be/en/research-groups/vision-lab/" target="_blank" rel="noopener">https://www.uantwerpen.be/en/research-groups/vision-lab/</a></p>
<p>Contact: Jan Sijbers (<a href="mailto:jan.sijbers@uantwerpen.be" target="_blank" rel="noopener">jan.sijbers@uantwerpen.be</a>)</p>
<p>PIs: Jan Sijbers</p>
<p>Vision Lab is a research lab of the Department of Physics of the University of Antwerp. Vision Lab's main research area is the development of novel image reconstruction, processing and analysis methods, which are applied in the domain of Tomography, Magnetic Resonance Imaging, Shape modelling, and Remote Sensing. Since its foundation in 1992, 7 spin-off companies have been founded.</p>
<p>Research areas:</p>
<ul>
<li>
<p>Tomography (X-ray, THz, EM, EIT, ...)</p>
</li>
<li>
<p>Magnetic Resonance Imaging</p>
</li>
<li>
<p>Shape modeling</p>
</li>
<li>Remote sensing</li>
</ul>

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Universiteit Antwerpen

<h3>Page under construction</h3>
<h4>&nbsp;</h4>
<h4>General website</h4>
<p><a href="https://www.uhasselt.be/en" target="_blank" rel="noopener">https://www.uhasselt.be/en</a></p>
<p>&nbsp;</p>
<h4>Labs and research groups</h4>
<h5>Data Science Institute</h5>
<p>Website: <a title="Data Science Institute UHasselt" href="https://www.uhasselt.be/en/instituten-en/dsi" target="_blank" rel="noopener">https://www.uhasselt.be/en/instituten-en/dsi</a></p>
<p>Contacts:</p>
<p>PIs: Jan Van den Bussche, Dirk Valkenborg, Frank Neven, Liesbet Peeters, Niel Hens, Stijn Vansummeren</p>
<p>&nbsp;</p>
<h5>Expertisecentrum voor Digitale Media</h5>
<p>Website: <a title="Expertisecentrum voor Digitale Media UHasselt" href="https://www.uhasselt.be/nl/instituten/expertisecentrum-voor-digitale-media" target="_blank" rel="noopener">https://www.uhasselt.be/nl/instituten/expertisecentrum-voor-digitale-media</a></p>
<p>Contacts:</p>
<p>PIs: Kris Luyten</p>
<p>&nbsp;</p>
<h5>Quantitative Methods</h5>
<p>Website: Quantitative Methods</p>
<p>Contacts:</p>
<p>PIs: Inneke Van Nieuwenhuyse</p>

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UHasselt

<h3>General websites</h3>
<h4>Imec in Flanders</h4>
<p><a href="https://www.imec.be/nl" target="_blank" rel="noopener">https://www.imec.be/nl</a></p>
<h4>Imec international</h4>
<p><a href="https://www.imec-int.com/en" target="_blank" rel="noopener">https://www.imec-int.com/en</a></p>
<h4>Imec AI</h4>
<p><a href="https://www.imec-int.com/en/artificial-intelligence" target="_blank" rel="noopener">https://www.imec-int.com/en/artificial-intelligence</a></p>
<h3>&nbsp;</h3>
<h3>Research Departments</h3>
<h4>AI &amp; Algorithms and Design and System R&amp;D</h4>
<h5>PI's</h5>
<p>Matthias Hartmann, Tom De Schepper, Werner Van Leekwijck</p>
<h4>Challenge manager</h4>
<p>Laure De Cock</p>
<h4>Research area's</h4>
<ul>
<li>&nbsp;Sensor data fusion</li>
<li>Edge AI</li>
<li>Agentic workflows</li>
<li>software/hardware optimization</li>
<li>HPC</li>
<li>Tiny AI</li>
<li>AI chiplets</li>
<li>ML accelerators</li>
<li>Event based compute &amp; sensing</li>
<li>Neuromorphic architectures</li>
</ul>
<p>Contact: Laure.decock@imec.be</p>

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imec

<h3>General website</h3>
<p><a title="Flanders Make" href="https://www.flandersmake.be/en" target="_blank" rel="noopener">https://www.flandersmake.be/en</a></p>
<p>&nbsp;</p>
<h3>Contact person</h3>
<p>Abdel Bey-Temsamani</p>

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Flanders Make

<h3>General website</h3>
<p><a href="https://vito.be/en/about-vito/data-science" target="_blank" rel="noopener">https://vito.be/en/about-vito/data-science</a></p>
<p>&nbsp;</p>
<h3>Contact person</h3>
<p>Bart Buelens</p>

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VITO

<h3>General website</h3>
<p><a href="https://ilvo.vlaanderen.be" target="_blank" rel="noopener">https://www.ilvo.vlaanderen.be</a></p>
<h3>Labs and research groups</h3>
<h4>Agrifood technology</h4>
<p><strong>Website</strong>: <a href="https://www.agrifoodtechnology.be/" target="_blank" rel="noopener">https://www.agrifoodtechnology.be</a></p>
<p><strong>Contacts:&nbsp;</strong></p>
<p>Scientific director: <a href="mailto:jurgen.vangeyte@ilvo.vlaanderen.be" target="_blank" rel="noopener">J&uuml;rgen Vangeyte</a>&nbsp;</p>
<p>Living lab coordinator: <a href="mailto:simon.cool@ilvo.vlaanderen.be" target="_blank" rel="noopener">Simon Cool</a></p>
<p>Use case coordinator: <a href="mailto:jeremie.haumont@ilvo.vlaanderen.be" target="_blank" rel="noopener">J&eacute;r&eacute;mie Haumont</a>&nbsp;</p>
<p><strong>Research topics:&nbsp;</strong>Autonomous agricultural robotics, remote sensing, precision agriculture, IoT sensors, computer vision</p>

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ILVO

<h3>General website</h3>
<p><a href="https://www.irc.ugent.be/" target="_blank" rel="noopener">https://www.irc.ugent.be/</a></p>
<p>&nbsp;</p>
<h4>Labs and research groups</h4>
<h5>Laboratory of computational biology</h5>
<p>Webiste: <a href="https://aertslab.org/" target="_blank" rel="noopener">https://aertslab.org/</a></p>
<p>Contacts: Stein Aerts</p>
<p>PIs:&nbsp;Stein Aerts</p>
<p>&nbsp;</p>
<h5>UGent DAMBI</h5>
<p>Website:</p>
<p>Contacts:&nbsp;Stein Aerts</p>
<p>PIs: &nbsp;Stein Aerts</p>

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<h3>General website</h3>
<p><a href="https://www.sirris.be/en/industrial-lab/data-and-artificial-intelligence-competence-lab" target="_blank" rel="noopener">https://www.sirris.be/en</a></p>
<h4>Labs and research groups<br /><a href="https://www.sirris.be/en/industrial-lab/data-and-artificial-intelligence-competence-lab" target="_blank" rel="noopener">EluciDATA Lab</a>&nbsp;</h4>
<h3>Contact person</h3>
<ul>
<li>Elena Tsiporkova - Program Manager Data Innovation EluciDATA Lab and Principal Investigator for FAIR</li>
<li><a href="mailto:alessandro.murgia@sirris.be">Alessandro Murgia</a> - Senior Data Scientist and UC leader for FAIR</li>
</ul>
<p>&nbsp;</p>
<p>&nbsp;</p>

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Sirris

<h3>Program Director&nbsp;</h3>
<p>Sabine Demey: <a href="mailto:sabine.demey@imec.be">e-mail</a></p>

<p>Eleven partners gather their expertise in the consortium: five Flemish universities and six research centers. This consortium co-operates with companies and the government. The Flanders AI Research Program is financed by the <strong><a href="https://www.ewi-vlaanderen.be/en" target="_blank" rel="noopener">Department of Economy, Science and Innovation</a></strong>.</p>

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<p>Groundbreaking AI research<br />enabling a <strong>meaningful impact</strong> on<br />people, industry, society and planet</p>

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Flanders AI Forum - 2025

<p><strong>Reflecting on a successful Internal Research Day</strong></p>
<p>On 10 March, the FAIR community came together for a day of inspiration at Lamot in Mechelen. The day was full of insights, discussions and creative exchanges, and was both dynamic and forward-looking.</p>

Recap Internal Research Day 2025

<p>Wind turbines are key to the energy transition, but unexpected failures can reduce their efficiency. In his PhD research at Vrije Universiteit Brussel, Xavier Chesterman, PhD developed an AI-powered predictive system to detect turbine failures 𝗯𝗲𝗳𝗼𝗿𝗲 𝘁𝗵𝗲𝘆 𝗵𝗮𝗽𝗽𝗲𝗻.</p>
<p>By combining 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗱𝗮𝘁𝗮 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀, his model identifies patterns in temperature and vibration data, allowing maintenance teams to 𝗽𝗿𝗲𝘃𝗲𝗻𝘁 𝗯𝗿𝗲𝗮𝗸𝗱𝗼𝘄𝗻𝘀 before they occur. This leads to fewer unexpected shutdowns, lower costs, and a more reliable renewable energy supply.</p>
<p>His methodology was tested on operational wind farms in the North and Baltic Seas, achieving an impressive 𝟴𝟬% 𝗮𝗰𝗰𝘂𝗿𝗮𝗰𝘆 in early fault detection.&nbsp;<br />The next step? Expanding this technology to other industrial machines, from compressors to agricultural equipment.</p>
<p>This research highlights how 𝗔𝗜 𝗮𝗻𝗱 𝘀𝗺𝗮𝗿𝘁 𝗱𝗮𝘁𝗮 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗮𝗿𝗲 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗶𝗻𝗴 the energy sector. At FAIR, we support groundbreaking innovations that drive a more sustainable and efficient energy system.</p>
<p><a href="https://www.vub.be/nl/nieuws/vub-onderzoek-moet-defecten-bij-windturbines-vroegtijdig-voo" target="_blank" rel="noopener">Read more about the research (Dutch)</a></p>

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Slimmere windturbines met AI

<p>Our research was extensively covered in De Tijd in an article highlighting the ambitious effort to map all 37.2 trillion cells in the human body. This work is closely related to the single-cell use case within the Flanders AI Research Program (FAIR), led by Prof. Yvan Saeys (Universiteit Gent/DAMBI).</p>
<p>By leveraging AI-driven approaches, <strong>we aim to unlock new insights into cellular behavior, desese mechanisms, and personalized medicine</strong>. Excited to see this topic gaining broader attention!</p>
<p><a href="https://www.tijd.be/ondernemen/wetenschap/de-waanzinnige-ambitie-om-37-200-miljard-cellen-in-ons-lichaam-in-kaart-te-brengen/10597058.html" target="_blank" rel="noopener">Read the article in De Tijd (Dutch)</a></p>
<p><a href="https://www.flandersairesearch.be/en/research/use-cases/single-cell-technologies" target="_blank" rel="noopener">More about our single-cell research</a></p>

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𝗙𝗔𝗜𝗥 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝗱 𝗶𝗻 𝗗𝗲 𝗧𝗶𝗷𝗱!

<p>Experience the highlights of Flanders AI Research Day 2024!</p>
<p>It was a day filled with inspiring sessions, engaging demos, and ample networking opportunities, bringing together the Flanders AI community to share the latest innovations and research.&nbsp;</p>
<p>Watch the aftermovie, browse through the photos or rewatch the presentations to relive the atmosphere.</p>

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Recap Flanders AI Research Day 2024

<p>Flanders AI Research Program contributed to this recent work on symbolic, data-driven, statistical and ethical AI. Enjoy!</p>