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The possibility to control the light flow in structures with dimensions at the nano-scale opened exciting possibilities both at fundamental research level and for applications in communications, sensors, and computing.

We are in particular interested in exploiting nanotechnologies to push forward photonic knowledge by developing innovative integrated devices and circuits as well as optical metasurfaces. Our research includes a wide range of activities, including device and materials modelling both at fundamental and circuit level, novel design methodologies based on machine learning and optimization, new circuit architectures, gratings, metamaterials, and metasurfaces.


Latest news

Conferences

Conferences 2025

Next year, you will find our work presented at several conferences [updating...] Photonics West, 25–30 January 2025, San...
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Conferences

CLEO 2024

From May 6th to May 10th I will be attending CLEO 2024. Among others, I will present the...
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News

Post-doc position

Project: Machine Learning for Enhanced Silicon Photonics Devices We are seeking a postdoctoral researcher with interest and experience...
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News

Post-doc positions

We have two open positions for postdoctoral researcher within the framework of the ERC project BEAMS. Integrated photonic...
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News

ERC Project BEAMS

The project BEAMS has been awarded as part of the 2021 Starting Grant call of the European Research...
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Conferences

Photonics West conference

I'm really happy to be part of Photonics West 2021 with an invited talk on multi-objective design in...
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Papers

Coupling light efficiently between integrated photonic circuits and the external world

There is an ubiquitous problem that everyone designing, testing, and using integrated photonic devices has to face: how...
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Conferences

Photonics Europe conference

From March 29 to April 2 I will be in Strasbourg at SPIE Photonics Europe conference. I will...
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News

Webinar

Thursady, 5 March 2020 @ 10.00 am EST OSA Optoelectronics technical group webinar. We will discuss about programmable...
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Papers

Mapping the global design space of nanophotonic components using machine learning pattern recognition

In this paper we tackle a problem that is frequent to many disciplines and is getting more and...
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