Projects | MST

The project “FAst prototyping of Nitride Electro-photonic Sensors,” funded under Provincial Law No. 6/2023, brings together Femtorays Technologies (FTH) and the Sensors and Devices Center at Fondazione Bruno Kessler (specifically the MST and I&QO research units). The primary goal is to enhance FTH’s molecular diagnostics system and develop an innovative diagnostic kit based on salivary biomarkers.

In the context of next-generation wireless communications — 5G and future 6G networks — the “Smart Electromagnetic Environment in Trentino” project focuses on developing advanced electromagnetic metasurfaces that enable the environment to actively support and direct wireless signals, instead of obstructing them.

As part of the project "SiciliAn MicronanOTecH Research And Innovation Center", FBK is involved in activities under Spoke 2, focusing on the development of high-sensitivity biosensors for liquid biopsy, 3D microelectrode arrays for neural activity mapping, smart sensing platforms for biomedical diagnostics, and integrated systems for environmental monitoring in water.

IPCEI ME/CNT, notified in 2023, focuses on R&D in microelectronics and communication technologies, covering the entire value chain from materials to chip manufacturing. Building on IPCEI ME, it supports digital and green transformation through energy-efficient electronics. FBK will enhance integration technology, including SiC and SiGe processes, enabling advanced sensors and MEMS for applications in space, autonomous driving, communication, and the environment.

The main objective of the EU-funded project “CO integration of Microelectronics and Photonics for Air and water Sensors,” is to develop a compact, inexpensive and ultrasensitive Photonic Integrated Circuits Sensing Platform (PSP) for air and water monitoring.

The main objective of the the EU-funded project “NEUro-enCODed Electronic Skin,” is to develop an electronic skin (e-skin) truly rooted in biological systems. The proposed e-skin will respond to external stimuli and encode the sensory information in the form of action potentials, just as biological systems do.

The current plant inspection process is labour intensive due to visual assessments, low detection throughput and the need for physical sampling for molecular- or antibody-based detection kits. SenseApest will address these challenges by screening imported plant material systematically and efficiently with a non-contact portable detection unit (PDU), based on volatile organic compound (VOC) emissions.

The project “eHealth Network - AI and innovative ICT tools oriented towards Digital Diagnostics” aims to create a virtual research infrastructure distributed across the national territory that uses AI solutions to develop prevention, surveillance and improvement actions for interventions aimed at diagnosis and therapy.