Projects the lab is currently involved in:
Metasurfaces and Optical Forces2022-2025 | FWOAL1038. |
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The Ethical and Inclusive AI Insurance2021-2023 | BRGRD57. Our goal is to develop a novel fair, ethical, and transparent pricing toolbox for insurances. We plan to develop a versatile model, first implemented in the Motor segment to follow the fast-paced modal shift in the BCR, but adaptable to all our non-life insurance products. |
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The interplay between Physics and Artificial Intelligence: an integrated perspective reconciling physical intuition and computational complexity2020 - 2024 | FWOTM1017. |
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Combining interdisciplinary Perspectives on Artificial intelligent Systems: navigating towards human-centred Artificial Intelligence2019 - 2024 | OZR15. Interdisciplinary research project, funded by the Research Council of the VUB, lead by Prof. Jan Danckaert, to investigated black box models and create human-centred AI. |
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Leveraging the Beneficial Use of Intelligent Algorithms in Society: on Intelligibility, Targeted Forgetting and Algorithmic Fairness2018 - 2022 | FWOTM918. |
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Data-driven logistics2018 - 2022 | SBO. Lead by Prof. Vanden Berghe from KU Leuven/CoDes with partners at KU Leuven, UHasselt and VUB of course, this strategic-basic research project's advisory committee includes VIL and leading Flemish logistics and logistics software providers. |
Past projects the lab was involved in:
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Advanced Analytics for Data Driven Well-being & Human Resources Management (AI-WHRM)2018 - 2021 | Innoviris team up: Attentia NV & VUB. This project aims to develop prototype analytics-based tools, applications, and expertise that enable an employee well-being-centred and data-driven human resources management. |
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Smart decision support for risk estimation of invoices2018 - 2021 | Innoviris team up: Edebex & VUB. This project investigates the use of A.I. and machine learning technology to assist operators in estimating the risk that financial documents carry in an interpretable, cost-conscious and durable way. |
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Preference learning for sustainable freight transport planning2018 - 2021 | Innoviris team up: SUMY & VUB. The goal is to automatically learn and use the preferences of stakeholders during the daily transport planning and vehicle routing. Such an AI-driven decision support increases operational efficiency, as well as the involvement of employees and customers. |
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Data driven decision making for complex problems2017 - 2019 - Australian Research Council: Tias Guns is an international partner on this fundamental research project with Australia partners in data mining and constraint optimisation. It studies novel ways of using (discrete) optimisation techniques for data mining problems and visa-versa. |
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Brussels MOBI-AID: Brussels MOBIlity Advanced Indicators Dashboard2016-2020 - FEDER ICITY, RDI: The goal is to build a mobility analytics system for the city of Brussels, to better understand its dynamics and to support policy making and its impact. |
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Demand Sensing2016-2020 - VLAIO: Long term industrial research collaboration to develop dynamic forecasting approaches for short term estimation of demand evolutions. The developed methods, based on ensemble approaches, are developed in the context of the integration intro production planning system. |
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Value-centric Credit Risk Analytics2015-2017 - Research chair. Research collaboration with a financial institution to develop a value-centric customer analytics architecture and modeling approaches, to maximize returns of marketing campaigns by selecting the most appropriate channels, level of marketing intensity, etc. |
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C-CURE: Cost Sensitive DynamiC User Authentication with REinforcement Learning2015-2018 - Innoviris BRIDGE Strategic Platforms 2014: Information Security. The goal is to develop more user-friendly authentication mechanisms for low risk services using Artificial Intelligence and Cryptography |