DIFFER
Events (archive)

Events (archive)

We believe in our duty to share knowledge through weekly seminars, regularly workshops and other events. on this page you'll find events organized in the past. If you're interested in upcoming events visit the Events page. Our weekly seminars at DIFFER cover a wide range of topics and are open to everybody. Please, read more on our dedicated Seminars page. You can find specific information for external visitors and subscribe to our seminar mailinglist on this page.

Excursion to Smart*Light and DIFFER (as part of Big Science Business Forum 2026)

Event, to
BSBF 2026
TU/e Campus: Smart*Light & DIFFER – Eindhoven (NL)Based on Compact Linear Collider (CLIC) technology developed at CERN, Smart*Light is developing a compact and mobile X-ray source that fits inside a container. Using the inverse Compton scattering effect, this source provides a high-intensity and tunable X-ray wavelength.
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DIFFER Seminar: Magic in the solar corona?

Seminar, to
DIFFER event
Abstract: For more than a century after the seminal paper by Gustav Mie (1908) on scattering of electromagnetic waves by a dielectric substance, the concept of "leaky modes" has been central in the interpretation of observed spectra from these media.
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Symposium ICMS/DIFFER: Advanced Materials, Robotics and AI

Event,
Event ICMS-DIFFER
We are pleased to invite you to the ICMS/DIFFER Advanced Materials, Robotics and Artificial Intelligence symposium, taking place on 8 October 2026 at the ICMS Ceres building (Building 7) at TU/e.
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Open dag DIFFER tijdens het Weekend van de Wetenschap

Open dag, to
Open dag DIFFER
Hoe werkt dat eigenlijk, energie? Waarom willen we de hitte van de zon (en nog véél heter) namaken op aarde? Hoe komen we aan schone energie als de zon niet schijnt en de wind niet waait? Waarom hebben we ingewikkelde computermodellen nodig? En welke rol spelen robots in de energietransitie?
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DIFFER Seminar: Improving Baseline Models through Model Augmentation: Model Structures and Learning Approaches

Seminar, to
Maarten Schoukens - Associate Professor TU/e
Abstract: In most engineering applications, strong prior knowledge is present in the form of pre-existing models, provided by system designers and engineers, even though they do not capture all the nonlinear dynamics of the real-life system. These models are currently not accounted for during black-box system identification / data-driven modelling tasks.
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