EJSIIResearch AreasSmart Cities, IoT & Cyber-Physical Systems
Research Area

Smart Cities, IoT & Cyber-Physical Systems

Research on connected infrastructure, Internet of Things, digital twins, urban intelligence, intelligent transport, resilient infrastructure, and cyber-physical systems that integrate sensing, computation, communication, and physical processes.

Scope Guidance

What We Publish

Submissions in this area should make a clear scientific, engineering, computational, analytical, or interdisciplinary contribution. Suitable research includes:

01

Urban sensing, smart infrastructure, intelligent transport, mobility analytics, and smart energy systems.

02

IoT architectures, edge computing, connected sensing, interoperable platforms, and device intelligence.

03

Cyber-physical systems, digital twins, real-time monitoring, and closed-loop intelligent infrastructure.

04

Resilient cities, infrastructure health monitoring, predictive maintenance, and disaster-aware urban systems.

05

Privacy, security, trust, and reliability in connected urban and industrial systems.

06

Data-driven urban decision support, simulation, optimization, and integrated city-scale analytics.

Illustrative Examples

Example Research Directions

The examples below illustrate the type and level of research that can fit this area. They are examples, not a closed list.

Digital twin for predictive maintenance of urban infrastructure
Edge-IoT architecture for real-time smart-city environmental monitoring
Multi-source mobility analytics for intelligent transport management
Cyber-physical resilience assessment of smart energy infrastructure
Federated learning for privacy-aware urban sensor networks
Integrated sensing and control for smart building energy optimization
Scope Boundaries

Generally Not Suitable

×

Smart-city concepts presented only as conceptual diagrams without evaluation.

×

IoT prototypes with no research contribution, system analysis, or validation.

×

Urban policy discussion with no substantial technical, analytical, or computational component.

Important: A manuscript is assessed by its actual research contribution and scope fit, not only by its subject label. Borderline interdisciplinary work may still be suitable when the scientific or technological contribution is clear.
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