HASKOLINN I REYKJAVIK EHF

Their core work

Reykjavik University is an Icelandic university with a distinctive research profile spanning AI-driven health diagnostics and advanced materials processing. Their flagship effort applies machine learning and deep learning to revolutionize sleep disorder diagnostics and personalized treatment. They also contribute expertise in biomaterials engineering (3D bioprinting for cartilage repair) and participate in industrial-scale sustainable metallurgy research for silicon and aluminium recovery.

What they specialise in

How they've shifted over time

Their early H2020 work (2015–2019) centred on fundamental life sciences — childhood stress biology via an ERC grant — and advanced biomaterials for cartilage repair using 3D bioprinting. From 2020 onward, the focus shifted decisively toward applied digital health (AI-driven sleep diagnostics) and industrial sustainability (aluminium recycling and silicon production). The trajectory shows a move from basic research toward technology application, particularly at the intersection of AI and healthcare.

Reykjavik University is building strong capacity in AI for personalized health, making them an increasingly attractive partner for digital health and medical AI projects.

How they like to work

They split evenly between leading projects (2 as coordinator, including a large EUR 6M initiative) and joining as partners (2 projects). With 71 unique consortium partners across 21 countries, they operate as a well-connected hub despite being a relatively small university from a small country. Their willingness to coordinate large international consortia signals organizational maturity and reliability as a lead partner.

Extensive international network of 71 unique partners across 21 countries — remarkably broad for an institution with only 4 H2020 projects. This suggests they are a trusted connector with reach well beyond the Nordic region.

What sets them apart

For a small Icelandic university, their coordination track record is exceptional — they secured an ERC Consolidator Grant and led a EUR 6M health innovation project. They offer a rare combination of AI/machine learning expertise applied specifically to clinical sleep medicine, a niche few European universities occupy at this level. Their geographic position also brings diversity value to any consortium seeking broader European representation.

Highlights from their portfolio

• SLEEP REVOLUTION
  Largest project (EUR 6M, coordinator) applying AI and deep learning to transform sleep diagnostics — their flagship initiative with the broadest consortium.
• LIFECOURSE
  ERC Consolidator Grant (EUR 2M, coordinator) — a mark of individual research excellence in developmental stress biology, rare for Icelandic institutions.