SciTransfer
Organization

TECHNISCHE UNIVERSITAET GRAZ

Austrian technical university strong in AI, neuroinformatics, cybersecurity, and advanced materials characterization across 130 H2020 projects.

University research groupdigitalAT
H2020 projects
130
As coordinator
16
Total EC funding
€63.9M
Unique partners
1542
What they do

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.

Core expertise

What they specialise in

Neuroinformatics and brain simulationprimary
8 projects

Core partner in the Human Brain Project (HBP SGA1 and successors), contributing to neuromorphic computing, neurorobotics, brain reconstruction, and transcriptome analysis.

Cybersecurity and cloud cryptographyprimary
7 projects

Multiple projects including PRISMACLOUD, CREDENTIAL, HECTOR, and SUNFISH covering hardware crypto, secure cloud identity, and privacy-preserving cloud services.

Advanced materials characterization (spectroscopy, imaging, diffraction)secondary
6 projects

Growing cluster of projects using in-situ spectroscopy, diffraction, and imaging techniques, including work at NFFA-Europe nanoscience facilities.

Biocatalysis and green chemistrysecondary
4 projects

Coordinated BIOCASCADES training network on biocatalytic cascade reactions; participated in ROBOX for industrial oxidative biocatalysts.

Automated driving and safety-critical systemssecondary
5 projects

Contributed to ENABLE-S3 validation for automated systems, 3Ccar electrified vehicle components, and automated driving research.

Evolution & trajectory

How they've shifted over time

Early focus
Brain science and cybersecurity
Recent focus
Applied AI and materials analytics

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.

Collaboration profile

How they like to work

Role: active_partnerReach: European55 countries collaborated

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.

Why partner with them

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.

Notable projects

Highlights from their portfolio

  • HBP SGA1
    Part of the EUR 1B Human Brain Project flagship — TU Graz contributed neuroinformatics, simulation, and neuromorphic computing expertise across multiple grant phases.
  • OMICON
    Coordinated this EUR 1.49M ERC project on organic mixed ion-electron conductors for next-generation batteries, showcasing leadership in energy materials research.
  • HOMOVIS
    Coordinated EUR 1.47M ERC Starting Grant on high-level prior models for computer vision — their largest single-PI grant, demonstrating frontier AI research capability.
Cross-sector capabilities
Energy storage and battery materialsTransport and automated drivingEnvironmental monitoring and exposome analyticsManufacturing and additive manufacturing
Analysis note: Profile based on 130 H2020 projects with strong keyword and funding data. Only 30 projects shown in detail but sector distribution, keyword evolution, and funding patterns across the full 130 provide a reliable picture. TU Graz's massive partner network (1,542 unique) and cross-pillar presence confirm a broad, well-connected institution.