Sound of Vision project developed wearable devices using sonification, haptics, and brain-computer interfaces to help visually impaired people perceive their environment.
UNIVERSITATEA TEHNICA GHEORGHE ASACHI DIN IASI
Romanian technical university applying engineering, AI, and robotics to health challenges — from assistive devices to neuroengineering and computational oncology.
Their core work
Technical University of Iași is a Romanian engineering university with a growing focus on biomedical engineering, neurotechnology, and AI-driven healthcare applications. Their H2020 work spans assistive technologies for visually impaired people (using acoustics, haptics, and brain-computer interfaces), computational oncology for colorectal cancer, and neuroengineering research for early detection of neurodegenerative disorders. They bridge engineering disciplines — signal processing, robotics, AI — with clinical health challenges, positioning themselves as a technically oriented partner in health-tech consortia.
What they specialise in
BrainTwin project (which they coordinated) focused on building a neuroengineering research centre for early detection of progressive neurodegenerative disorders and robotic diagnostic procedures.
REVERT project contribution as third party involved computational frameworks, predictive models, and molecular mechanism analysis for unresectable colorectal cancer.
Both BrainTwin and REVERT involve AI-driven tools — decision support systems for neurology and predictive computational models for cancer progression.
How they've shifted over time
Their early H2020 work (2015-2017) centred on sensory substitution and assistive devices — audio/video processing, sonification, and brain-computer interfaces for people with visual impairments. By 2020, the focus shifted sharply toward medical AI and computational biomedicine: neurodegenerative disease detection, robotic diagnostics, and computational modelling of cancer progression. The common thread is applying engineering and signal processing to health problems, but the ambition level and clinical relevance have increased significantly.
Moving from hardware-oriented assistive tech toward AI-driven diagnostic and therapeutic tools, making them an increasingly relevant partner for health-tech projects needing computational and engineering expertise.
How they like to work
With only 3 projects — one as coordinator, one as participant, one as third party — they have experience across all consortium roles but no dominant pattern yet. Their BrainTwin coordination was a Twinning/CSA project (capacity-building), suggesting they are actively working to grow their European research profile. With 34 unique partners across 10 countries from just 3 projects, they are plugged into reasonably large consortia rather than working in small bilateral setups.
Despite only 3 projects, they have built connections with 34 unique partners across 10 countries, reflecting participation in medium-to-large consortia. Their network spans multiple EU member states, though the Twinning project (BrainTwin) was specifically designed to strengthen their European links.
What sets them apart
As a technical university, they bring engineering rigour — signal processing, robotics, computational modelling, AI — to health and biomedical challenges, which many medical-focused partners lack in-house. Their BrainTwin Twinning project signals institutional commitment to becoming a European-level neuroengineering hub, not just occasional project participation. For consortium builders, they offer a combination of low-cost Romanian partner rates with genuine technical depth in health-tech engineering.
Highlights from their portfolio
- BrainTwinTheir only coordinated project — a Twinning action to build a world-level neuroengineering research centre, signalling serious institutional investment in this field.
- Sound of VisionLargest single EC contribution (EUR 424,710) and an ambitious multi-sensory assistive system combining acoustics, haptics, and brain-computer interfaces.
- REVERTThird-party contribution to a cancer therapy project shows their computational modelling skills being sought by external consortia for oncology applications.