Call for Paper

We invite submissions of high-quality, original, and unpublished research papers that explore innovative solutions, methodologies, and challenges across a wide range of topics, including but not limited to the following areas:

Artificial Intelligence:

  • AI Algorithms and Optimization Methods
  • Machine Learning and Deep Learning Engineering
  • Generative AI for Engineering Applications
  • AI in Human-Centered Systems
  • AI for Embedded and Real-Time Systems
  • Engineering of AI Tools and Platforms
  • Explainable and Ethical AI
  • AI in Signal Processing and Control Systems
  • AI Applications in Industry, Health, and Transportation
  • AI-driven Decision Support Systems

Design, UIUX and HCI:

  • UI/UX Design for Embedded and Real-Time Systems
  • Engineering Evaluation of UI Performance
  • UX Modeling and Frameworks for Intelligent Systems
  • Interface Prototyping and Usability Engineering
  • Multiplatform UI Frameworks and Standards
  • Interaction Design for AR/VR/MR Systems
  • Interface Adaptation Using AI and ML
  • UX Metrics and Testing in Engineering Environments

Human-Computer Interaction and Embedded Interfaces:

  • Knowledge Acquisition and Representation
  • Knowledge Sharing and Collaboration
  • Information Retrieval and Search
  • Data Mining and Knowledge Discovery
  • Information System Design and Development
  • Knowledge Management Systems and Technologies
  • Information Security and Governance

User Interface, User Experience, and Interface Engineering:

  • UI/UX Design for Embedded and Real-Time Systems
  • Engineering Evaluation of UI Performance
  • UX Modeling and Frameworks for Intelligent Systems
  • Interface Prototyping and Usability Engineering
  • Multiplatform UI Frameworks and Standards
  • Interaction Design for AR/VR/MR Systems
  • Interface Adaptation Using AI and ML
  • UX Metrics and Testing in Engineering Environments

Knowledge Management and Information System:

  • Knowledge Representation and Engineering
  • Engineering of Knowledge Management Platforms
  • Information Systems Architecture and Engineering
  • Knowledge-Driven System Design
  • Ontologies and Semantic Modeling
  • Intelligent Information Retrieval Systems
  • Data and Knowledge Fusion Techniques
  • Quality Engineering in Information Systems