FAKULTET INZENJERSKIH NAUKA UNIVERZITETA U KRAGUJEVCU

Their core work

The Faculty of Engineering Sciences at the University of Kragujevac is a Serbian engineering school with research strengths spanning advanced materials, computational modeling, and intelligent systems. Their H2020 work reveals a group that applies engineering simulation and computational methods across diverse domains — from electrodeposited alloy coatings for industrial protection, to coronary artery disease modeling for clinical decision support, to AI-driven safety assurance for critical systems. They bring strong computational and materials engineering expertise to European consortia as a reliable specialist partner.

What they specialise in

How they've shifted over time

Their early H2020 work (2015-2019) centered on materials science and biomedical simulation — two distinct but computationally intensive domains. Their most recent project, CISC (2021-2025), marks a shift toward artificial intelligence and safety assurance for critical systems. The throughline is computational engineering, but the application domain has moved from physical materials and medical modeling toward intelligent systems and AI reliability.

They are moving from domain-specific simulation toward AI and intelligent systems, suggesting future collaborations should target trustworthy AI, digital twins, or computational safety assurance.

How they like to work

FIN has participated exclusively as a partner, never as coordinator, indicating they function as a specialist contributor brought in for their computational and engineering expertise. Despite only three projects, they have worked with 37 unique partners across 16 countries, suggesting they integrate well into large, diverse consortia. Their participation in both MSCA training networks and RIA research actions shows flexibility across project types.

With 37 partners across 16 countries from just 3 projects, FIN has built a surprisingly broad European network for a mid-sized Serbian university. Their connections span Western and Eastern Europe, reflecting the wide geographic reach typical of MSCA training networks.

What sets them apart

As a Serbian engineering faculty, FIN offers competitive research talent at lower cost compared to Western European partners, which is attractive for consortium budget planning. Their ability to bridge materials science, biomedical engineering, and AI safety is uncommon — most partners specialize in one domain. For coordinators building Widening or MSCA proposals, a strong Serbian partner with proven H2020 track record adds both geographic diversity and genuine computational expertise.

Highlights from their portfolio

• SMARTool
  Their highest-funded project (EUR 319,500), applying engineering simulation to a health challenge — coronary artery disease clinical decision support — showing cross-disciplinary versatility.
• CISC
  Their most recent project (2021-2025) signals a strategic pivot toward AI and safety-critical systems, a rapidly growing field with strong future funding prospects.