Workshop Scope
This workshop explores how emerging digital technologies can make connected devices, transportation systems and urban environments more intelligent, secure, sustainable and resilient. It brings together research and practical developments in the Internet of Things (IoT), intelligent mobility and smart cities, with a focus on the integration of artificial intelligence, data analytics, communication technologies and cyber-physical systems.

Key challenges include delivering real-time, energy-efficient intelligence on resource- constrained edge devices; securing heterogeneous IoT and vehicle-to-everything (V2X) communication against evolving cyber-physical threats; preserving privacy and ensuring responsible governance of urban data; and turning multimodal data streams and digital twins
into reliable, explainable decisions for mobility and city operations.

The workshop welcomes theoretical and applied contributions, including novel methods, system designs and architectures, prototypes and testbed results, data-driven evaluation studies and real-world deployment case studies. Priority will be given to submissions that make a clear technological, data-driven, systems or methodological contribution, in line with the requirements of the Springer proceedings.

Objectives

1. Bring together researchers and practitioners in IoT, intelligent mobility and smart cities
to present technically grounded advances in AI-enabled, secure and sustainable urban
systems.
2. Promote security, privacy and trustworthy AI by design as integral requirements across
IoT devices, connected vehicles and urban digital twins.
3. Bridge research and deployment by featuring prototypes, testbeds and real-world case
studies that connect academia with industry, mobility operators and city stakeholders.
4. Strengthen a Europe – Middle East research network (NEWTON University, Zayed
University and partners), supporting early-career researchers and fostering joint
publications and projects.

Topics of Interest:
Internet of Things (IoT)
Edge AI and TinyML for real-time, energy-efficient intelligence on resource-constrained devices
Secure-by-design architectures and lightweight cryptographic solutions
Secure communication protocols for IoT networks
Privacy-preserving analytics for connected devices and smart environments
Vulnerability assessment, threat analysis, and risk management for IoT ecosystems
AI-driven sensing and analytics for autonomous and predictive systems
IoT applications in smart homes, healthcare, and other sectors
Machine learning for predictive maintenance in industrial and infrastructure settings

Intelligent Mobility and Transportation
Intelligent Transportation Systems (ITS) for improving traffic flow, safety, and environmental performance
Connected and Autonomous Vehicles (CAVs), including vehicle-to-everything (V2X) communication
Safety, ethical, and societal implications of autonomous driving
Real-time traffic prediction using big data and multimodal data fusion
Integration of ITS with smart-city infrastructure
AI-enabled incident detection and response
Data-driven approaches to mobility planning and urban transportation

Smart Cities
Sustainable urban infrastructure, including digital approaches to energy, water, and waste management
Urban digital twins for real-time simulation and optimization of city operations
Cyber-physical systems that support adaptive urban services
Integration and analysis of real-time data streams for dynamic city modeling
Data governance, ethics, transparency, and equitable data use
Citizen engagement through interactive digital-twin platforms
Ethical and responsible frameworks for data sharing in smart cities

Who should attend

Researchers (including doctoral and early-career researchers), engineers, industry practitioners, city and mobility operators and policymakers working at the intersection of AI, IoT, communications and urban systems.

Format and Participation

• Format: hybrid
• Duration: half day session (approximately 3.5-4 hours)
• Publication: Springer conference proceedings
• How to take part: Submit a full paper through Confy+ system. All submissions are peer-reviewed in line with EAI requirements

Workshop organizers

• Dr Belal Alsinglawi (Lead organiser), Assistant Professor, College of Technological Innovation, Zayed University, United Arab
  Emirates
• Prof. Yaser Khamayseh (Co-organiser), College of Technological Innovation, Zayed  University, United Arab Emirates)
• Prof. Dwight Makaroff (Co-organiser) Department of Computer Science, University of Saskatchewan, Canada