About the Conference

The International Conference on Knowledge Engineering and Information Systems (KEIS 2025) serves as a premier platform for researchers, academicians, industry professionals, and students to exchange and discuss the latest advancements, innovations, and challenges in the fields of Knowledge Engineering and Information Systems. This conference will provide a forum for presenting cutting-edge research findings, methodologies, and technologies and will address the emerging trends, challenges, and opportunities in computer science and information technology. This conference aims to promote interdisciplinary research and collaboration across diverse domains and will also facilitate networking, mentorship, and professional development opportunities for participants at all career stages.

Conference Tracks
KNOWLEDGE ENGINEERING
Knowledge Representation and Reasoning
Ontologies and semantic modeling
Rule-based systems
Machine learning for knowledge extraction
Automated reasoning and decision support
Knowledge discovery and pattern recognition
Natural language processing and semantic analysis
Human-computer Interaction
Context-aware systems and adaptive learning
Expert Systems and Intelligent Decision Support
Intelligent decision-making systems for real-world challenges
Collaborative knowledge systems
Data and Knowledge Integration
Data fusion and interoperability across systems
IoT and edge computing in knowledge systems
Healthcare and medical decision support systems
Smart cities, sustainability, and intelligent transportation
Industrial automation and Industry 4.0 solutions
Privacy and security in knowledge-based applications
INFORMATION SYSTEMS
Big data processing and management
Data warehousing and mining
Business intelligence and decision support systems
Artificial Intelligence in Information Systems
Cognitive computing and intelligent systems
Cloud, Edge, and Distributed Information Systems
Enterprise resource planning (ERP) systems
Cybersecurity in information systems
Risk management and compliance frameworks
Data protection, encryption, and access control
Interaction design and user experience (UX)
Personalization and adaptive systems
IoT data management and integration
Smart environments and IoT-based applications
Real-time analytics in IoT systems
E-governance and public sector information systems
Information systems for education and healthcare
Ethical and societal impacts of information systems
Blockchain and distributed ledger technologies
Quantum computing in information systems
Information Systems Development and Methodologies