Aberration-Free Lens Design

Available Projects

Contact: Sepand Kashani (LCAV) Synopsis: Assess image fidelity of optical systems using pixelized lens arrays. Levels: Bachelor, Master Sections: IC Description: Lenses form core elements of camera systems: their goal is to focus light from the outside world onto an image sensor to faithfully capture a scene of interest. The focusing effect of a lens (…)

Sports highlights for all

Available Projects

Contact: Adam Scholefield   Synopsis: Projects in computer vision, image processing, web and/or smartphone app development for startup in the sports-tech space.   Levels: Bachelor, Master (including Master thesis)    Description: Interested in computer vision, image processing, web and/or smartphone app development? An early stage startup has numerous projects in these areas. Get in touch to learn more!   (…)

Automatic Flat Colouring

Ongoing Projects

Contact: Michalina Pacholska Synopsis: Create an automatic tool for flat comic colouring. Level: Master Students Description:  On the left is a line-art image [0]. When creating the comic, the artists will create line-arts for every panel of the comic, that will have to be coloured. It’s often more convenient to add so-called flat colours first, shown (…)

Optimisation for distance-based localisation

Ongoing Projects

Contact: Michalina Pacholska Synopsis: Compare the performance of different algorithms on the task of localisation from distances of a device moving on a smooth trajectory. Level: The project can be adapted to Bachelor or Master Students. Description: The raise of self-navigating devices (be it cars or drones) requires reliable localisation methods. Simplest localisation method is triangulation (or multi-lateration), (…)

TAKEN: Experimental evaluation of unsupervised indoor localization

Past Projects

Contact: Dümbgen, Frederike, Sepand Kashani Synopsis: Experimental evaluation of unsupervised indoor localization. Level: Summer internship or BS/MS project Description: Due to their aptitude in depicting complex dependencies, neural networks are a promising candidate for indoor localization. Omnipresent phenomena such as multi-path signal propagation, shadowing and device noise introduce high noise in distances inferred from radio (…)

Gabriel Lippmann, 1908 Nobel Prize in Physics

Interferential photography on exhibition (2 students)

Available Projects

Advisors: Prandoni, Paolo; Latty, Arnaud. Synopsis: Building demonstration experiments and showcases for an artistic and scientific exhibition on Lippmann photography, as part of a semester project. Level: MS/BS. Description: Gabriel Lippmann won the 1908 Nobel Prize in Physics for the development of the first color photography technique. Its principle, based on light interference,  is as (…)

Beamforming of Light Waves for μ-scale Manufacturing

Past Projects

  Advisors: Matthieu Simeoni (LCAV), Sepand Kashani (LCAV) and Julien Gateau (GALATEA, Microcity)   Contact: Matthieu Simeoni ([email protected])   Synopsis: Assess novel beamforming solutions for light waves using a spatial light modulator.    Levels: Bachelor, Master (, including Master thesis)    Sections: MT, IC, PH, EL   Description: Lasers are often used for carving materials (…)

A Spline Approximation Framework for Spatio-Temporal Environmental Monitoring

Past Projects

  Main Advisors: Matthieu Simeoni and Julien Fageot Synopsis: Develop a spline approximation framework for spatio-temporal environmental monitoring at global scales. Level: Bachelor/Master (including Master Thesis). Description: One aid towards addressing the current environmental crisis consists in building a “digital twin” of the Earth. The latter would take the form of an exhaustive computer simulation relying on past and (…)

Periodic Splines and their Applications to Approximation Theory

Past Projects

Advisors: Matthieu Simeoni and Julien Fageot Synopsis: Obtain innovative results and methods for the approximation of periodic functions with periodic splines. Level: Master/Bachelor. Description: A spline is a piecewise-smooth function used in approximation theory, known to be an excellent tool for bridging the discrete and continuous setting. As such, it is therefore at the core of many (…)

Acquiring hyperspectral images with an interferential camera

Available Projects

Advisors: Scholefield, Adam James; Hoffet, Adrien; Latty, Arnaud. Synopsis: Development of hardware and software to record hyperspectral images, as part of a semester project. Level: MS/BS. Description: The student will work together with the scientific and technical team on a concept successfully tested on an interferential hyperspectral camera prototype. He/she will take part in the (…)