SciTransfer
Organization

University of Novi Sad Faculty of Sciences

Serbian research faculty combining data science, cybersecurity, and environmental monitoring expertise across 17 H2020 projects with 145 European partners.

University research groupmultidisciplinaryRS
H2020 projects
17
As coordinator
2
Total EC funding
€2.8M
Unique partners
145
What they do

Their core work

The Faculty of Sciences at the University of Novi Sad is a Serbian research university combining strong mathematical and computational expertise with applied environmental and biological sciences. They develop data analytics, machine learning, and cybersecurity solutions for industrial applications, while also working on biosensor technologies, environmental monitoring (particularly water contaminants like cyanobacteria), and climate extremes research. Their applied work spans from protecting industrial IoT systems to building point-of-care diagnostic devices using microfluidics, making them a versatile research partner bridging fundamental science with real-world technology deployment.

Core expertise

What they specialise in

Cybersecurity and industrial IoT protectionprimary
3 projects

C4IIoT, COLLABS, and CYRENE all address cyber resilience for manufacturing systems and supply chains, spanning 2019-2023.

Big data analytics and applied mathematicsprimary
3 projects

I-BiDaaS (self-service big data), BIGMATH (mathematical methods for big data), and ASCAPE (AI/ML for healthcare data) form a consistent thread from 2018-2023.

Environmental monitoring and climate sciencesecondary
4 projects

EXtremeClimTwin (hydro-climatic extremes, coordinated), Safeguard (wild pollinators), Phy2Climate (phytoremediation), and SafeCEREAL (copper nanoparticles in soil) cover environmental risks across scales.

Biosensors and diagnostic microfluidicsemerging
1 project

IPANEMA develops paper-based nucleic acid testing integrated into microfluidic devices for pathogen and toxin detection in agrifood and environmental samples.

AI and machine learning for healthcaresecondary
1 project

ASCAPE applies AI and machine learning to support cancer patient quality of life across European healthcare systems.

Evolution & trajectory

How they've shifted over time

Early focus
Science outreach and big data mathematics
Recent focus
AI, cybersecurity, and environmental tech

In 2014-2018, UNSPMF focused heavily on science communication and public engagement (Friend2U, COOLandHOT, ReConNeCt) alongside foundational big data mathematics work (BIGMATH, I-BiDaaS). From 2019 onward, a sharp pivot occurred toward applied AI/ML, cybersecurity for industrial systems, and environmental/biosensor technologies — the projects became more technically demanding and closer to market applications. The transition from "science awareness" to "AI-driven industrial and environmental solutions" reflects a faculty that has matured from Widening Participation activities into substantive technical research partnerships.

UNSPMF is converging toward applied AI and data-driven solutions for environmental and industrial challenges, making them increasingly relevant for consortia needing ML expertise with domain application.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European32 countries collaborated

Overwhelmingly a participant (15 of 17 projects) rather than a coordinator, indicating they bring specialized technical contributions to larger teams rather than driving project design. With 145 unique partners across 32 countries, they maintain a broad and diverse network — this is not an organization that works with the same small circle. Their wide-ranging consortium experience makes them easy to integrate and experienced in multi-partner coordination, though their modest average funding (~EUR 165K per project) suggests they typically contribute focused work packages rather than leading major deliverables.

With 145 unique consortium partners across 32 countries, UNSPMF has built a remarkably broad European network for a Western Balkans institution. Their connections span well beyond the region into Western and Northern Europe, reflecting successful integration into mainstream EU research.

Why partner with them

What sets them apart

As a Serbian faculty of sciences, UNSPMF offers a rare combination: strong mathematical and computational skills (big data, ML, optimization) paired with environmental and biological domain knowledge, all at Western Balkans cost levels. Their progression from Widening Participation projects to substantive RIA and IA contracts proves they can deliver at European research standards. For consortium builders, they fill the increasingly important Widening Country requirement while bringing genuine technical depth rather than token participation.

Notable projects

Highlights from their portfolio

  • EXtremeClimTwin
    Their largest funded project (EUR 387K) and one of only two they coordinated — a Twinning project on hydro-climatic extremes showing institutional leadership capacity.
  • C4IIoT
    Marked their entry into industrial cybersecurity (EUR 262K), a domain they then expanded into with COLLABS and CYRENE, establishing a clear expertise cluster.
  • IPANEMA
    Combines microfluidics, biosensors, and nucleic acid amplification for pathogen detection — a technically sophisticated project showing emerging capability in diagnostic technologies.
Cross-sector capabilities
digitalenvironmentsecurityhealth
Analysis note: Strong data coverage with 17 projects spanning 8 years. The science communication projects (Friend2U, COOLandHOT, ReConNeCt) carry minimal funding and vague keywords, so the early-period profile is less technically defined than the recent period. The faculty's true technical strengths are best evidenced by 2018+ projects.