The 9th International Conference on Information Science and Systems (ICISS 2026)

The 9th International Conference on Information Science and Systems (ICISS 2026) is centered on sharing and advancing innovations in information science and systems through global collaboration among experts and scholars

Key Topics

• Data Science and Analytics
  • Data Mining
  • Big Data Analytics
  • Statistical Methods
  • Data Warehousing
  • Machine Learning for Analytics
  • Optimization Techniques
• Machine Learning and Artificial Intelligence
  • Reinforcement Learning
  • Deep Learning
  • Neural Networks
  • Transfer Learning
  • Decision Trees
  • Bayesian Learning
  • Evolutionary Computation
• Natural Language Processing and Text Mining
  • Text Classification
  • Machine Translation
  • Named Entity Recognition
  • Sentiment Analysis
  • Language Generation
  • Text Summarization
• Information Retrieval and Knowledge Management
  • Web Search Engines
  • Information Retrieval Models
  • Semantic Web
  • Recommendation Systems
  • Knowledge Representation and Reasoning
  • Ontology Engineering
• Human-Computer Interaction and Usability
  • User Interfaces and Interaction Design
  • User Modeling and Personalization
  • Accessibility
  • Human Factors and Ergonomics
  • Augmented Reality and Virtual Reality
• Computer Vision and Image Processing
  • Image Segmentation
  • Object Recognition
  • Video Analysis
  • 3D Imaging
  • Pattern Recognition
  • Image and Video Retrieval
• Cloud Computing and Distributed Systems
  • Cloud Storage
  • Cloud Computing Architecture
  • Grid Computing
  • Cloud Security
  • Mobile Computing
  • Peer-to-peer Systems
• Internet of Things and Cyber-Physical Systems
  • Wireless Sensor Networks
  • Sensor Networks
  • Smart Homes
  • Smart Grids
  • Industrial IoT
  • Cybersecurity and Privacy
• Emerging Topics and Applications
  • Quantum Information Science
  • Blockchain for Information Management
  • Smart Cities and Urban Analytics
  • Computational Social Science
  • Financial Analytics
  • Healthcare Informatics
• Explainable Artificial Intelligence and
  • Model Interpretability
  • Interpretable Machine Learning
  • Fairness and Accountability
  • Explainability Metrics
  • Human-AI Collaboration
  • Visual Explanations