Guest Editors
Dr. Tri Gia Nguyen
Email: tri@ieee.org
Affiliation: Department of Information Technology, FPT University, Danang, 50509, Vietnam
Homepage:
Research Interests: machine learning, big data mining, and internet of things
Dr. Thi-Thu-Hong Phan
Email: hongptt11@fe.edu.vn
Affiliation: Department of Artificial Intelligence, FPT University, Da Nang, 50509, Vietnam
Homepage:
Research Interests: time series processing and forecasting, computer vision, machine learning/deep learning, and application of AI to solving problems in agriculture
Dr. Luong Vuong Nguyen
Email: vuongnl3@fe.edu.vn
Affiliation: Department of Artificial Intelligence, FPT University, Da Nang, 50509, Vietnam
Homepage: luongvuongnguyen.github.io
Research Interests: data mining, machine learning, ambient intelligence, natural language processing and logical reasoning
Summary
In the era of rapid urbanization and digital transformation, the convergence of Big Data technologies, scalable computing architectures, and AI-driven analytics is redefining how we design, manage, and optimize systems for smart cities and sustainable development.
This Special Issue seeks to explore innovative approaches that leverage large-scale data analytics, distributed systems, and Generative AI to address real-world challenges in energy, mobility, climate, urban planning, and public services. We are especially interested in works that demonstrate scalable, intelligent, and privacy-aware solutions with tangible societal impact.
We welcome high-quality, original research and review papers in (but not limited to) the following areas:
· Big Data frameworks and architectures for real-time urban and rural analytics
· AI-powered decision support systems for sustainability and smart agriculture
· Scalable cloud-edge-hybrid models for city and farm-level IoT
· Generative AI for urban simulation, synthetic environmental data, and agri-informatics
· Energy and traffic optimization through large-scale sensor data
· Crop yield prediction, soil health monitoring, and precision farming via Big Data
· Federated learning and privacy-aware AI in public services and rural health
· Big Data pipelines for climate modeling, weather prediction, and disaster resilience
· Open datasets for agriculture, biodiversity, and environmental sustainability
· Case studies and benchmarks from smart cities and digital agriculture initiatives
Keywords
Big Data Analytics, Smart Cities, Smart Agriculture, Scalable Data Architectures, Edge and Cloud Computing, Generative AI, Sustainable Development Goals (SDGs), Urban and Rural Informatics, AI for Sustainability, Real-time Data Processing
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