Data and AI-driven smart technologies, with an emphasis on (i) the connection between the urban spaceand the industrial space, (ii) sustainable living and (ii) sustainable industrial production, hold the transformativepotential to enhance the sustainability and climate resilience across EU, in private and work spaces.
Assumingthis, NexTArc is devoted to augmenting the adoption of Trustworthy edge AI and IoT across 3 complementaryand interrelated application domains, organised as Use Cases (UC):
- (SLN) Smart, sustainable and LiveableNeighbourhood in Urban Spaces;
- (STI) Smart, sustainable and transparent industrial Spaces;
- (TEM) Trustworthy and Eco-friendly Multimodal Connectivity of Urban and Industrial Spaces through people and freightmobility, incl. the inter and intra-mobility.
Building on this vision, NexTArc aims to promote the cross-fertilization of ideas among a broad spectrum ofstakeholders, 38 partners in 10 countries, integrated over a four-fold Innovation Module (IM) approach: i) cyberresilienceon chip; ii) low-power embedded AI; iii) improved computation and dependability covering the highperformanceneeds; iv) holistic solution stack to enable trustworthy services, which resonate with the EU ChipsAct, 2ZERO, Process4Planet, CCAM, Cities’ Mission and Process4Planet frameworks. NexTArc has identified 6Specific Objectives: 1) Driving adoption of AI while enhancing connectivity preparedness; 2) Targeting a 40%increase in data transmission rates and a 30% reduction in energy use during data processes, while ensuring robustarchitectural resilience; 3) Fortifying cyber-physical security with an aim for full-compliance with EU’s Chip andCybersecurity act; 4) Realising open HW/SW to ensure designs that are secure, safe, private, and accountable; 5)Proactively adapting to the dynamic landscape of open-source innovations and key industry standards; 6)Orchestrating 4 IMs, unveiling 15 Key Innovations to develop the solutions that are needed for Europe to take thetechnological lead towards a sustainable society.
| First Name | Last Name | Title |
|---|---|---|
| Kristina | Lundqvist | Professor |
| Baran | Çürüklü | Senior Lecturer |
| Åsa | von Heland | Lecturer |
| Afshin | Ameri E. | Doctoral student,Lecturer |
| Luiz | Giacomossi | Doctoral student |
A safety-driven architectural framework for fail-operational drone swarms in critical missions (Sep 2026) Luiz Giacomossi, Zafer Yigit, Marwan Shakarna , Shoaib Saleemi , Ivan Tomasic, Baran Çürüklü, Håkan Forsberg Proceedings of the 45th Digital Avionics Systems Conference (DASC 2026)
Can Linux Fly a Drone? A Flight Control Evaluation for Unified UAV Architectures Using PREEMPT_RT Kernel (Sep 2026) Luiz Giacomossi, Håkan Forsberg, Ivan Tomasic, Baran Çürüklü, Tommaso Cucinotta , Afshin Ameri E. 31st IEEE International Conference on Emerging Technologies and Factory Automation (ETFA2026)

