Collaborate on intelligent lighting
With ILI we aim at the creation of a scientific community of practice dedicated to intelligent lighting solutions with a scientific and application-based approach towards all aspects of light. Key is the establishment of partnerships with stakeholders in the public-private field: companies, knowledge institutes, and government bodies. A multidisciplinary and multifunctional approach is the only way to reach breakthrough in this field, in addition the work will be concept driven and evidence based. Human centric real-life test beds will be realized at the TU/e campus and at public spaces like the city of Eindhoven.
Participating TU/e departments are Applied Physics, Built Environment, Electrical Engineering, Industrial Design, Industrial Engineering & Innovation Science, Mathematics & Computer Science.
IN THE SPOTLIGHT
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Research- program lines
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Contact
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Visiting address
AtlasGroene Loper 3.4245612AZ EindhovenNetherlands -
SecretaryILI@ tue.nl
News
Education
At ILI we are convinced that education needs to evolve alongside new research results and other insights. The organization of the educational activities within ILI are therefore by definition undergoing a continuous optimization process. We take this task very seriously to contribute our fair share towards educating the professionals and scientists of tomorrow.
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Bachelor
Offering a foundational course and a USE trajectory and Technical trajectory
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Master
Offering various courses in different master tracks
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TU/e innovation Space Lighting
Offering a continuous flow of lighting challenges
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Life Long Learning
Setting up a programme to enable professionals to keep their knowledge and skills up to date
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Recent Publications
Our most recent peer reviewed publications
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How crowd accidents are reported in the news media
Safety Science (2024) -
Labeling Chaos to Learning Harmony
ACM Transactions on Intelligent Systems and Technology (2024) -
Match and Mismatch between Lived Experiences of Daytime Sleepiness and Diagnostic Instruments
Clocks & Sleep (2024) -
High-statistics pedestrian dynamics on stairways and their probabilistic fundamental diagrams
Transportation Research Part C: Emerging Technologies (2024) -
Modeling Multivariate Relations in Multiblock Semiconductor Manufacturing Data Using Process PLS to Enhance Process Understanding
(2024)