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-2024 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.

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

Each paper is limited to 8 pages (or 10 pages with over length charge) including figures and references using IEEE Computer Society Proceedings Manuscripts style (two columns, single spaced, 10 fonts). All papers need to be submitted electronically through the website with PDF: (https://edas.info/N32669)