SCI 2025 will provide a platform for researchers and practitioners to interact with one another and discuss the state-of-the-art developments in the field. The topics of the conference will cover all aspects of research and applications in Smart Computing including but not limited to:
Artificial Intelligence and Machine Learning

Machine Learning and Deep Learning for Information Systems
Intelligent Data Integration and Fusion
AI-driven Decision Support Systems
AI in Autonomous Systems and Robotics
Ethical AI and Responsible AI Practices


IoT and Smart Devices

IoT-enabled Information Systems and Applications
Smart Cities and Urban Informatics
Wearable Computing and Health Informatics
IoT Data Analytics and Real-time Processing
Smart Agriculture and Environmental Monitoring


Big Data Models, Algorithms & Applications

Algorithms and Programming Techniques for Big Data Processing
Big Data in Mobile and Pervasive Computing
Visualization Analytics for Big Data
Big Data Management and Processing
Data Mining, Pattern Recognition and Predictive Analytics Data Driven Modelling


Big Data Protection, Integrity and Privacy

Models and Languages for Big Data
Protection Privacy Preserving Big Data Analytics
Big Data Encryption
Ethical and Privacy Aspects of Big Data Analytics


Social Media Analytics

Natural Language Processing and Text Analytics
Knowledge Representation and Reasoning
Sentiment Analysis and Opinion Mining


Blockchain

Blockchain Technology for Information Security and healthcare
Blockchain for Metaverse & Digital Twins
Blockchain-based Applications and Services
Blockchain in social networking
Blockchain and trust management


Sustainable Computing and HCI

Green IT and Sustainable Information System
Intelligent User Interfaces and Human-Computer Interaction
User-Centered Design and User Experience (UX)
Self-sustaining sensing and edge computing
Computer Vision and virtual environment


CyberSecurity

Cybersecurity and Threat Detection
Network Security and Intrusion Detection
Digital Forensics and Incident Response
Risk Assessment and Management in Information Systems
Submitted papers should neither be previously published nor under consideration for publication elsewhere. All papers will be refereed through a peer review process.