Core contributor across PLASMOfab, NEBULA, PlasmoniAC, and EXIST — all focused on plasmonic/photonic integration for high-speed transceivers and neuromorphic circuits.
UNIVERSITE DIJON BOURGOGNE
French university specializing in CMOS-compatible plasmonics, silicon photonics, and neuromorphic optical computing for high-speed data and AI hardware.
Their core work
The University of Burgundy (Dijon) is a French public university with strong research capabilities in photonics, plasmonics, and CMOS-compatible optical technologies. Their teams design and characterize plasmonic waveguides, modulators, and photonic integrated circuits for high-speed data communications and neuromorphic computing. They also maintain expertise in bio-based composite materials from plant fibres and in microbiology (Listeria adaptation). Their H2020 involvement shows a lab-driven profile, contributing specialized measurement and fabrication know-how to larger European consortia.
What they specialise in
NEBULA and PlasmoniAC both target plasmonic neuromorphic processing, reservoir computing, and linear neuron architectures — a clear recent direction.
U-CROSS project applies ultrasonic inspection, acoustic emission, and corrosion prediction for aerospace aluminium alloys.
SSUCHY project focuses on sustainable structural composites from natural plant fibres and bio-based polymers.
List_MAPS (coordinated) studied Listeria monocytogenes adaptation through proteomic and transcriptomic analysis.
How they've shifted over time
In the early H2020 period (2015–2018), the university focused on foundational photonic and plasmonic integration — designing CMOS-compatible plasmonic modulators, waveguides, and silicon photonics for high-speed electronics (PLASMOfab, EXIST). From 2019 onward, their photonics work shifted decisively toward neuromorphic computing applications (NEBULA, PlasmoniAC), while they also branched into ultrasonic non-destructive testing for aerospace (U-CROSS). The evolution shows a research group that built its photonics platform early and is now applying it to AI-adjacent computing architectures.
Moving from photonic component design toward applying plasmonics for neuromorphic and AI computing hardware — expect future proposals in optical neural networks and energy-efficient computing.
How they like to work
The University of Burgundy operates primarily as a specialist contributor rather than a consortium leader — only 2 of 8 projects were coordinated, and 3 were as a third party (affiliated entity). Their 73 unique partners across 14 countries suggest they are well-connected but not a central hub; they join consortia where their specific photonics or characterization expertise is needed. Working with them means accessing deep technical capability in a focused niche, not broad project management capacity.
Collaborated with 73 distinct partners across 14 countries, indicating broad European reach despite a moderate project count. Their network spans both academic photonics labs and industrial electronics/aerospace partners.
What sets them apart
Their distinctive strength is the intersection of CMOS plasmonics and neuromorphic computing — a niche where few European universities have sustained multi-project involvement. They bridge the gap between silicon photonics fabrication and emerging AI hardware architectures. For consortium builders, they offer a rare combination: photonic device expertise with a growing track record in computing applications, plus secondary capabilities in NDT and biocomposites that open cross-sector opportunities.
Highlights from their portfolio
- PLASMOfabLargest single EC contribution (EUR 430K) and central to their identity — a CMOS-compatible plasmonics/photonics platform for volume manufacturing.
- PlasmoniACRepresents their frontier direction: ultra-fast plasmonic circuits specifically designed for neuromorphic computing architectures.
- List_MAPSOne of only two projects they coordinated, and notably different from their photonics core — a Marie Curie training network in food microbiology.