Electro-Intrusion (their largest grant at EUR 359,925) focuses on converting ambient heat and vibrations into electricity via nanotriboelectric effects, building on earlier hydrogen education work in TeacHy.
NATIONAL TECHNICAL UNIVERSITY OF UKRAINE IGOR SIKORSKY KYIV POLYTECHNIC INSTITUTE
Ukraine's top technical university contributing energy harvesting, computational physics, and explainable AI research to European consortia.
Their core work
Igor Sikorsky Kyiv Polytechnic Institute is Ukraine's flagship technical university, contributing applied research in energy harvesting, materials science, and computational methods to European consortia. Their H2020 work spans from mathematical modelling and magnonics to hands-on energy conversion technologies that turn ambient vibrations and heat into electricity. They also engage in building hydrogen and fuel cell education capacity across Europe, developing MSc-level curricula and e-learning materials. More recently, they have moved into explainable AI for clinical applications, signalling a broadening into digital health.
What they specialise in
AMMODIT developed approximation methods for molecular modelling and diagnostic tools, indicating strong computational and applied mathematics capability.
MagIC explored spin wave dynamics and magnonic interactions, placing them in advanced condensed matter physics research.
TeacHy developed MSc courses, MOOCs, and teaching materials for fuel cell and hydrogen science across European universities.
KATY (EUR 179,438) applies explainable machine learning to clinical knowledge systems, marking their entry into digital health.
How they've shifted over time
Their early H2020 involvement (2015–2019) centred on fundamental research — magnonics, molecular modelling, and GNSS replication — with no recorded keywords, suggesting supporting roles in broad scientific collaborations. From 2017 onward, a clear shift emerges toward applied energy topics (hydrogen education, then energy harvesting from vibrations and heat) alongside a new thread in explainable AI for clinical use. The trajectory shows a university moving from pure science participation toward applied, interdisciplinary problem-solving with stronger funding and more defined contributions.
They are pivoting from basic science support roles toward applied, well-funded work in energy conversion technologies and explainable AI, suggesting growing capacity as a substantive research contributor rather than a peripheral partner.
How they like to work
They have never coordinated an H2020 project, consistently joining as participant or third party — a profile typical of a non-EU institution building its European network. With 60 unique consortium partners across 18 countries from just 6 projects, they operate in large, geographically diverse consortia rather than small focused teams. This breadth suggests they are well-connected and adaptable, but prospective partners should expect a contributor role rather than project leadership.
Remarkably broad for a Ukrainian institution with only 6 projects: 60 unique partners across 18 countries, indicating they consistently join large pan-European consortia and have built a wide, if not deep, collaborative footprint.
What sets them apart
As Ukraine's premier technical university, they offer a rare combination of strong physics and mathematics foundations with growing applied energy and AI capabilities — at significantly lower cost than Western European partners. Their participation in MSCA-RISE mobility schemes means they have active researcher exchange pipelines with EU institutions. For consortium builders, they provide genuine technical depth in energy harvesting and computational methods while also strengthening proposals with geographic diversity beyond EU borders.
Highlights from their portfolio
- Electro-IntrusionTheir largest grant (EUR 359,925) and most technically distinctive project — converting ambient heat and vibrations into electricity through nanotriboelectric effects at solid-liquid interfaces.
- KATYMarks a strategic pivot into explainable AI for clinical decision-making, a high-demand area that diversifies their portfolio well beyond traditional physics and engineering.
- TeacHyDemonstrates capacity-building role in hydrogen education across Europe, connecting them to the fuel cell and hydrogen community at curriculum level.