Data Science Seminar Series : Sylvain Gigan from Kastler Brossel Laboratory

on the December 21, 2017

15:30 to 17:30
The Data Science Seminar Series bring high profile researchers to Université Grenoble Alpes to show the increasing role of data science in modern research. It is open to all researchers of Université Grenoble Alpes. For the 6th seminar, we will welcome Sylvain Gigan from Kastler Brossel Laboratory
Sylvain Gigan from Kastler Brossel Laboratory will give a talk on “Light propagation in complex media: from imaging, to compressive imaging and machine learning ”. The event will take place on Thursday 21 December at IM2AG building. The event will be followed by a coffee break.

Light propagation in complex media is a huge problem for optical imaging:  seeing through a layer of paint, a multimode fiber, or inside biological tissues is a formidable challenge, now made possible thanks in particular to unique tools: spatial light modulators (SLMs), able to digitally encode information on light beams, for display of for wavefront control. This has allowed a revolution in imaging, by allowing focusing light and recovering images at depth in scattering media where all light has been multiply scattered.

I will present our recent work in the domain, with a particular emphasis on our recent experiments, results of a collaboration with signal processing and algorithms experts. We have explored how signal processing, within the recent framework of compressive sensing, can improve imaging using the natural randomness of complex media. More recently, we realized that complex media can be exploited to perform optically a wide range of machine learning tasks. I will present some first proof of principle experiment in image classification.


Related articles
- Measuring the Transmission Matrix in Optics: An Approach to the Study and Control of Light Propagation in Disordered Media
- Imaging With Nature: Compressive Imaging Using a Multiply Scattering Medium

Published on December 5, 2017

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IM2AG building, amphi 22