Core partner in the Human Brain Project (HBP SGA1 and successors), contributing to neuromorphic computing, neurorobotics, brain reconstruction, and transcriptome analysis.
TECHNISCHE UNIVERSITAET GRAZ
Austrian technical university strong in AI, neuroinformatics, cybersecurity, and advanced materials characterization across 130 H2020 projects.
Their core work
TU Graz is one of Austria's leading technical universities, delivering deep expertise in computational intelligence, advanced materials characterization, cybersecurity, and brain-inspired computing. Their research spans from nanoscale spectroscopy and diffraction imaging to large-scale AI and high-performance computing systems. They bring strong engineering capabilities to EU consortia — particularly in sensors, simulation platforms, and safety-critical systems for automotive and industrial applications. They are also a key node in the Human Brain Project and related neuroinformatics infrastructure.
What they specialise in
Multiple projects including PRISMACLOUD, CREDENTIAL, HECTOR, and SUNFISH covering hardware crypto, secure cloud identity, and privacy-preserving cloud services.
Broad AI portfolio spanning computer vision (HOMOVIS), big data, edge computing, and applied AI across sectors including transport and manufacturing.
Growing cluster of projects using in-situ spectroscopy, diffraction, and imaging techniques, including work at NFFA-Europe nanoscience facilities.
Coordinated BIOCASCADES training network on biocatalytic cascade reactions; participated in ROBOX for industrial oxidative biocatalysts.
Contributed to ENABLE-S3 validation for automated systems, 3Ccar electrified vehicle components, and automated driving research.
How they've shifted over time
In the early H2020 period (2014–2018), TU Graz concentrated heavily on neuroscience infrastructure — brain simulation, neuromorphic computing, neurorobotics — alongside cloud security and automated driving. From 2019 onward, the focus shifted noticeably toward applied AI, advanced materials characterization (spectroscopy, diffraction, in-situ imaging), edge computing, and additive manufacturing. The emergence of "exposome" and "monitoring" keywords signals a growing interest in environmental and health data analytics.
TU Graz is pivoting from foundational neuroscience toward industrially applicable AI, sensor-driven analytics, and advanced manufacturing — making them increasingly relevant for industry-facing collaborations.
How they like to work
TU Graz operates overwhelmingly as a consortium partner (109 of 130 projects), joining large multi-partner initiatives rather than leading them. With 1,542 unique partners across 55 countries, they function as a high-connectivity hub — plugged into virtually every major European research network. Their 16 coordinator roles tend to be in focused research areas (ERC grants, training networks) rather than large-scale innovation actions, suggesting they lead where they have deep scientific authority and contribute specialized expertise elsewhere.
With 1,542 unique consortium partners spanning 55 countries, TU Graz has one of the broadest collaboration networks among Austrian institutions. Their reach is genuinely pan-European with significant connections beyond, reflecting their participation in flagship initiatives like the Human Brain Project and EUROfusion.
What sets them apart
TU Graz bridges computational science and physical engineering in a way few European universities do — combining AI, HPC, and sensor expertise with hands-on materials science and hardware security. Their dual strength in brain-inspired computing and industrial applications (automotive, manufacturing, energy) makes them a versatile partner who can contribute both fundamental algorithms and applied engineering. For consortium builders, their massive partner network and track record across 17 H2020 pillars means they bring connectivity alongside technical depth.
Highlights from their portfolio
- HBP SGA1Part of the EUR 1B Human Brain Project flagship — TU Graz contributed neuroinformatics, simulation, and neuromorphic computing expertise across multiple grant phases.
- OMICONCoordinated this EUR 1.49M ERC project on organic mixed ion-electron conductors for next-generation batteries, showcasing leadership in energy materials research.
- HOMOVISCoordinated EUR 1.47M ERC Starting Grant on high-level prior models for computer vision — their largest single-PI grant, demonstrating frontier AI research capability.