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Flex Conference (Physical / Digital)

International Conference on Intelligent Systems and Knowledge Engineering - (ICISKE-26)

21st - 22nd September 2026 , Jerusalem - Israel

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Call For Papers

The (ICISKE-26) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Computer Science Engineering are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Artificial Intelligence in Intelligent Systems
  • Knowledge Engineering for Decision Support
  • Machine Learning Applications in Industry
  • Natural Language Processing Innovations
  • Data Mining Techniques for Knowledge Discovery
  • Human-Computer Interaction in Intelligent Systems
  • Ethics in AI and Intelligent Systems
  • Smart Systems for Environmental Monitoring
  • Intelligent Robotics and Automation
  • Big Data Analytics for Knowledge Engineering
  • Cognitive Computing and Its Applications
  • Intelligent Systems for Healthcare Solutions
  • Predictive Analytics in Business Intelligence
  • Multi-Agent Systems and Coordination
  • Trust and Security in Intelligent Systems
  • Intelligent Transportation Systems Development
  • Adaptive Learning Systems and Technologies
  • Social Implications of Intelligent Systems
  • Interdisciplinary Approaches to Knowledge Engineering
  • Future Directions in Intelligent Systems Research

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.