Welcome Message

Welcome to the 23rd IEEE International Conference on Smart City (SmartCity-2025).

Smart cities (also smarter cities) use digital technologies to enhance performance and wellbeing, to reduce costs and resource consumption, and to engage more effectively and actively with its citizens. Developing a smart city to better support growing urban population is a global and complex challenge and involves interdisciplinary fields. Key ‘smart’ sectors include transportation, smart building, energy, health care, and water systems.

IEEE SmartCity-2025 is aiming to be a premier international conference in smart city. This conference is to bring together computer scientists, industrial engineers and researchers to discuss and exchange experimental or theoretical results, novel designs, work-in-progress, experience, case studies, and trend-setting ideas in the area of smart city.

SmartCity-2025 will be hosted in Exeter, the capital city of Devon and provides the county with a central base for education, medicine, religion, commerce and culture. The city is also home to the magnificent Exeter Cathedral, which dates back to Norman times. Exeter is also ideally placed to base a trip to branch out visiting places such as the famous Dartmoor National Park and the unspoilt beaches of the North and South Devon coastlines.

Prospective authors are invited to submit their papers to SmartCity-2025. All accepted papers are expected to be included in IEEE Xplore and will be indexed by Engineering Index (EI). The authors of selected best papers will be invited post conference to extend their contributions for special issues of prestigious journals to be planned in conjunction with the conference.

Scope and Topics

Topics of interest include, but are not limited to:

Track 1: Smart City Systems

    Smart Buildings
    Smart Transportation
    Smart Environment and Economy
    Energy-Efficient Smart Grid Systems
    Smart Grid System Management
    Citizen Engagement and Smart Governance

Track 2: Data Processing Technology

    Data Representation and Processing
    Machine Learning and Deep Learning
    Graph Neural Networks
    Semi-supervised and Unsupervised Learning
    Statistical, Mathematical and Probabilistic Modeling and Theories
    Information Retrieval
    Data Visualization

Track 3: Data Systems

    Storage and File Systems
    High Performance Access Toolkits
    Compiler and Runtime Support
    Real-time Data Intensive Systems
    Multi/Many-Core Platforms
    Big Data and Cloud Computing

Track 4: Data Applications

    Business and Finance Applications
    Industrial Data Applications
    Bioinformatics Applications
    Healthcare and Medical Services
    Applications in Soil and Water
    HPC Systems for Data Applications
    Future Data Applications