Smart systems for environmental pollution detection and biogas production based on cloud-connected silicon photonic and microelectronic hyperspectral sensors

HORIZON.2.4HORIZON-RIAID: 101135523
EC Contribution
€49,823
Consortium Size
12 orgs
Summary

Air pollution poses a great environmental risk to health, accounting for nearly half a million premature deaths each year in Europe. Biogas production is an enabling technology to achieve net-zero emissions, while accelerating the energy diversification in Europe. Both, air quality control and biogas production demand critical improvements in sensor technology. SYMPHONY will develop a new technology enabling the implementation of dense networks of cloud-connected, low-cost, portable and easy-to-use sensors, capable of multi-target detection for applications in air quality control, pollution monitoring, industrial process control and safety. SYMPHONY will address this challenge by making key developments in silicon photonics, neuromorphic circuits, artificial intelligence, integration, and packaging, while exploiting state-of-the-art silicon microelectronics for ultra-low power edge computing with artificial intelligence, and the connected sensor network for spatially-resolved analysis and prediction. The main focus of SYMPHONY smart sensors are gases related to the biogas production and gases that have been identified by the European Environmental Agency (EEA) as highly pollutant and contributing to the greenhouse effect, such as CO2, CH4 and NO2. SYMPHONY smart sensors will be validated in three different relevant scenarios: city pollution monitoring in Cyprus, process control and leakage detection in biogas micro-plants in multiple locations in Europe. With this ambition in mind, SYMPHONY has gathered a transversal consortium, comprising three academic institutions, two research institutes, four companies and two end-users, coming from seven different countries in Europe. The consortium covers the full value chain, including silicon photonics, neuromorphic circuits, silicon microelectronics, integration, packaging, artificial intelligence, gas sensing, the internet of things, biogas production and air pollution monitoring.

Consortium (12)

Project Results (8)

Source: CORDIS, the EU research results database.

Publications (8)
Neuromorphic photonic neural networks for on-chip gas spectra classification
Applied Soft Computing· 2026DOI
Loukia Avramelou, Manos Kirtas, Odysseas Asimopoulos, Theodoros Moschos, Antonios Prapas, Georgios Tsamis, Apostolos Tsakyridis, Miltiadis Moralis-Pegios, Aitor V. Velasco, Irene Olivares, Carlos Alonso Ramos, Sara Toxqui Rodríguez, Nikolaos Passalis, Nikolaos Pleros, Anastasios Tefas
Optics-informed deep learning training for classifying gas absorption spectra on the edge
2025 IEEE Symposia on Computational Intelligence for Energy, Transport and Environmental Sustainability (CIETES)· 2025DOI
M. Kirtas, L. Avramelou, C. Alonso Ramos, S. Toxqui Rodríguez, A. V. Velasco, N. Passalis, C. Pappas, N. Pleros, A. Tefas
Subwavelength metamaterials for ultra-broadband power and modal management in silicon photonics (Conference Presentation)
Integrated Optics: Design, Devices, Systems, and Applications VIII· 2025DOI
Raquel Fernández de Cabo, Alejandro Sánchez-Sánchez, Yijun Yang, Daniele Melati, Carlos Alonso-Ramos, Aitor Villafranca Velasco, P. Cheben, David González-Andrade
Achromatic subwavelength-assisted power splitter for next-generation silicon photonics
2024 IEEE Silicon Photonics Conference (SiPhotonics)· 2024DOI
De Cabo, Raquel Fernández; Velasco, Aitor V.; Cheben, Pavel; González-Andrade, David
Advanced metamaterial waveguide devices for broadband modal and power control
2024 IEEE Photonics Conference (IPC)· 2024DOI
Aitor V. Velasco, Raquel Fernández de Cabo, David González-Andrade, Daniele Melati, Carlos Alonso-Ramos, Alejandro Sánchez-Sánchez, Pavel Cheben
Broadband and low-cross talk mode multiplexer based on subwavelength-assisted phase matching
Optics Letters· 2024DOI
Jaime Vilas, Irene Olivares, Mayte Gómez-Castaño, Irene Ayuso-Pérez, Pedro Medeiros, Raquel Fernández de Cabo, Aitor V. Velasco, Antonio Dias Ponte
Broadband mode exchanger based on subwavelength Y-junctions
Nanophotonics· 2024DOI
Raquel Fernández de Cabo, Alejandro Sánchez-Sánchez, Yijun Yang, Daniele Melati, Carlos Alonso-Ramos, Aitor V. Velasco, David González-Andrade
Extending the spectral operation of multimode and polarization-independent power splitters through subwavelength nanotechnology
Optics & Laser Technology· 2024DOI
Raquel Fernández de Cabo, David González–Andrade, Pavel Cheben, Aitor V. Velasco