Light propagation in complex media meets signal processing : from imaging to compressive imaging and machine learning
Event details
| Date | 02.03.2016 |
| Hour | 15:00 |
| Speaker | Professor Sylvain Gigan, ESPCI ParisTech |
| Location | |
| Category | Conferences - Seminars |
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, able to digitally encode informations on light beams, for display of for wavefront control.
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.
Bio: Sylvain Gigan obtained an engineering degree from Ecole Polytechnique (Palaiseau France) in 2000. He obtained a PhD in Physics 2004 from University Pierre and Marie Curie (Paris, France) in quantum and non-linear Optics.
From 2004 to 2007, he was a postdoctoral researcher in Vienna University (Austria), working on quantum optomechanics, in the group of Markus Aspelmeyer and Anton Zeilinger. In 2007, he joined ESPCI ParisTech as Associate Professor, and started working on optical imaging in complex media and wavefront shaping techniques, at the Langevin Institute.
Since 2014, he is full professor at University Pierre et Marie Curie, and group leader in Laboratoire Kastler-Brossel, at Ecole Normale Supérieure (ENS, Paris). His research interests range from fundamental investigations of light propagation in complex media, biomedical imaging, sensing, signal processing, to quantum optics and quantum information in complex media.
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.
Bio: Sylvain Gigan obtained an engineering degree from Ecole Polytechnique (Palaiseau France) in 2000. He obtained a PhD in Physics 2004 from University Pierre and Marie Curie (Paris, France) in quantum and non-linear Optics.
From 2004 to 2007, he was a postdoctoral researcher in Vienna University (Austria), working on quantum optomechanics, in the group of Markus Aspelmeyer and Anton Zeilinger. In 2007, he joined ESPCI ParisTech as Associate Professor, and started working on optical imaging in complex media and wavefront shaping techniques, at the Langevin Institute.
Since 2014, he is full professor at University Pierre et Marie Curie, and group leader in Laboratoire Kastler-Brossel, at Ecole Normale Supérieure (ENS, Paris). His research interests range from fundamental investigations of light propagation in complex media, biomedical imaging, sensing, signal processing, to quantum optics and quantum information in complex media.
Practical information
- General public
- Free
Organizer
- Faculty STI
Contact
- Loeffen Berthet Carole <[email protected]>