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Conference Themes

We welcome research papers exploring the theme of ‘Big Data and Smart City’ with an aim to bring together researchers, designers, developers and practitioners interested in the advances and applications in the field of smart cities. The conference will address a range of critically important issues such as green information and communication technologies, sustainability, energy aware systems and technologies to realize smart communities of the future. Papers with new research results and new products or concepts are encouraged for submission.

Accepted and presented papers will be published in the conference proceedings and submitted to IEEE Xplore as well as other Abstracting and Indexing (A&I) databases.


Conference themes include but are not limited to:
· Creative use of technology for smart building and home
· Smart cities and key issues in well being
· Advanced communication systems and approaches for smart cities
· New developments in smart cities and regions
· Sensors, actuators and their networking in smart cities
· Management, configuration and deployment of smart city infrastructure
· Energy aware systems and technologies
· Sustainable computing and communications
· Computational intelligence and soft computing (genetic algorithm, neural networks, fuzzy logic)
· Modeling of complex energy, mobility, health, society and e-government systems
· Technologies for utility business transformation
· Next generation distribution systems, smart sensors
· Impact of distributed energy resources, smart grid (Electric cars, demand response, distributed generations, storage)
· Energy efficient hardware and software solutions
· Creative use of technologies to analyze and measure/assess well-being
· Big data architecture, computer networks, network security
· Storage architectures, grid computing, service oriented architecture
· Data privacy and security issues in intelligent systems
· Cloud computing framework for big data processing
· Data privacy and security issues in intelligent systems
· Big data acquisition, preprocessing, data storage and management, knowledge management
· Big data intelligent computing, machine learning, pattern recognition, signal processing, image processing, bio-informatics
· Big data analysis, applications
· Modeling technology and systems for big data
· Big data mining, data warehousing, big data visualization
· Smart data for business intelligence, business process integration and management
· Explore standardized smart data formats and privacy & protection, data convergence
· Evaluate best practices in smart data handling
· Smart data for social entrepreneurship and community engagement