Research projects
Here you can find a collection of research projects with involvement of DAI members.
Current Research Projects (12)
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PersOn: Explainable, Maintainable, and Trustworthy Decision Support Systems for Personalised Care in OncologySep 2023
NWO Perspectief: Selecting the optimal cancer treatment with artificial intelligence Each year, more people are being diagnosed with cancer. They will often receive a standardized medical treatment that disregards the patient’s expectations about their quality of life during and after treatment. The PersOn programme …
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Cassio de Campos
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Knowledge Extraction, Machine Learning and other AI approaches for secure, robust, frugal, resilient and explainable solutions in Defence ApplicationsDec 2022
The project “Knowledge Extraction, Machine Learning and other AI approaches for secure, robust, frugal, resilient and explainable solutions in Defence Applications” (KOIOS) will be developed around four main outputs (Simulation framework with performance computing capabilities and reduced complexity; Identification and development of use cases; …
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Mykola Pechenizkiy
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AI4Europe - An AI on-demand platform for research excellence in EuropeJul 2022
The vision behind AI4Europe is to design and build infrastructure to bring together Europe’s existing and new computational resources, data, algorithms, software, services, platforms, and expertise, by offering a unified interface to all resources that will facilitate access and democratize Europe’s AI research and …
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Joaquin Vanschoren
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DAMOCLES: Data-Augmented Modeling Of Constitutive Laws for Engineering SystemsFeb 2022
The modeling of complex engineering systems is highly challenging. Physics-based models require a cautious application of constitutive assumptions, whereas data-based models require vast amounts of data. DAMOCLES targets a breakthrough in the constitutive modeling of such systems in different physical domains by developing a …
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Erik Quaeghebeur
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TWINERGY: digital twin of a vertical farmJan 2022
TWINERGY aims to develop a digital twin of vertical farm including the next generation of plant monitoring technology to drive the future of climate control in vertical farming, with particular emphasis on the identification of new options to improve energy use efficiency of food …
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Joaquin Vanschoren
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Intelligent agents in dynamic environmentsNov 2021
The project is part of AMADeuS: Artificially Intelligent Multi-Vehicle Automated Driving Systems - TTW OTP project led by Prof. dr. ir. W.P.M.H. Heemels, and in collaboration with TNO, Ford Labs, and other partners.
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Decebal Mocanu
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Inno4Health - Stimulate continuous monitoring in personal and physical healthJan 2021
Inno4Health aims to stimulate innovation in continuous monitoring in healthcare and sports. In healthcare, fitness monitoring provides information to patients and their treating physicians regarding the readiness associated with surgery and the ability to rapidly recover from invasive treatment. In top sports, fitness monitoring provides …
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Joaquin Vanschoren
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SkyHigh: Leveraging AI in Vertical FarmingJan 2021
Climate change, scarcity of fresh water, intensive pesticide use, mineral resource depletion, rapidly urbanising societies all challenge our food system to feed cities. To cope with these issues a farming revolution called vertical farming is starting. Vertical farming is a novel technology where plants …
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Joaquin Vanschoren
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EDIC: Exceptional and Deep Intelligent CoachFeb 2020
Our increased life expectancy unfortunately goes hand in hand with an increased amount of years living with chronic conditions such as diabetes and obesity. These conditions cannot be cured, but both the development of comorbidities and the quality of life are strongly influenced by proper …
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Mykola Pechenizkiy
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AvantGraphJan 2019
AvantGraph is a graph query processing engine under development by the Database group at TU Eindhoven. Designed for efficient processing of both subgraph matching and navigational graph queries, AvantGraph encompasses innovation in three key areas: the planner, the cardinality estimator, and the execution engine. …
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Nick Yakovets
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Sparse Neural NetworksFeb 2018
Training sparse artificial neural networks from scratch provides not only computational benefits contributing to greener AI, but often allows to achieve better generalisation than dense training. Since 2018 we witnessed the potential of SNN in a variety of learning scenarios and NN architectures, including …
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Decebal Mocanu
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Fairness-aware AISep 2016
FairML or Fairness-aware AI has emerged into a large interdisciplinary area. in DAI, we approach the challenges of fairness and non-discrimination from several perspectives, focusing on the technical ML aspects intersections of FairML and XAI, and interdisciplinary aspects including philosophical, legal and computer science. …
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Mykola Pechenizkiy
Finished Research Projects (5)
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TAILOR Network of AI ExcellenceSep 2024
TAILOR is an EU project with the aim build the capacity to provide the scientific foundations for Trustworthy AI in Europe. TAILOR develops a network of research excellence centres, leveraging and combining learning, optimisation, and reasoning. These systems are meant to provide descriptive, predictive, …
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Joaquin Vanschoren
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Robust ML for Advanced Visual Inspection of Rare Defects in Semiconductors ProductionFeb 2024
Deep Learning offers new possibilities for detecting subtle microscale defects in semiconductors. Yet even such a powerful tool, in its current form, has shown serious limitations when used in real world environments. Some of the major challenges that limit deployment of deep learning for …
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Joaquin Vanschoren
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RATE-Analytics: Next generation predictive analytics for data-driven banking and insuranceApr 2022
In this project co-funded by NWO Commit2Data, Rabobank and Achmea, we developed foundations and techniques for advanced analytics with an expert in the loop. We have proposed several novel techniques bringing expertise in predictive analytics and visual analytics. We facilitated construction of more effective and …
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Mykola Pechenizkiy
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DARPA D3M - Data-driven discovery of modelsNov 2021
Automating Data Science and Predicting Behavior through Empirical Models. The DARPA Data Driven Discovery of Models (D3M) program automates methods in data science to enable domain experts to incorporate their knowledge into the modeling process and create meaningful and valid predictive models of real, …
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Joaquin Vanschoren
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KYC-Analytics: Know Your Customer Predictive AnalyticsJul 2021
KYC-Analytics was focused on developing foundations and techniques for next generation KYC predictive analytics under increasing data heterogeneity and volatility of the customer behavior.In collaboration with the compliance department of Rabobank we have developed a series of sub-projects on the cutting edges of text-mining, visual …
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Mykola Pechenizkiy