36th International Conference on Advanced Information Systems Engineering (CAiSE 2024)

The 36th International Conference on Advanced Information Systems Engineering (CAiSE 2024) is dedicated to all aspects of Information Systems Engineering.

Topics

• Models, Methods and Techniques in IS Engineering
  • Conceptual modeling, languages and design
  • Ontologies and Ontology Engineering
  • Process modeling, analysis and improvement
  • Requirements engineering
  • Models and methods for evolution and reuse
  • Process automation, mining and monitoring
  • Product lines, variability and configuration management
  • Domain and method engineering
  • Active and interactive models
  • Compliance and alignment handling
  • Visualization techniques in IS
  • Quality of IS models for analysis and design
  • Knowledge graphs
  • Decision models and business intelligence
  • Human-centered techniques
• Novel Approaches to IS Engineering
  • Robotic Process Automation (RPA)
  • Artificial Intelligence and Machine Learning
  • Blockchain applications in IS
  • Big Data, Data Science and Analytics
  • IS for collaboration and social computing
  • Simulation and Digital Twins
  • Context-aware, autonomous and adaptive IS
  • Virtual reality / Augmented Reality
• Domain-specific and Multi-aspect IS Engineering
  • EGovernment
  • IT governance
  • IS for healthcare
  • Autonomous and smart systems (smart city management, smart vehicles, etc.)
  • Value and supply chain management
  • Educational Systems and Learning Analytics
  • Sustainability and social responsibility management
  • Industry 4.0
  • IS in the post-COVID world
  • Privacy, security, trust, and safety management
• Architectures and Platforms for IS Engineering
  • Big Data architectures
  • Distributed, mobile and open architecture
  • Service oriented and multi-agent IS engineering
  • Cloud- and edge-based IS engineering
  • Cyber-physical systems and Internet of Things (IoT)
  • Multi-platform IS engineering
  • Handling of real time data streams
  • Workflow and Process Aware Information Systems (PAIS)
  • Crowdsourcing platforms
  • Content management and semantic Web
  • Microservices design and deployment
  • Conversational agents (chatbots)

Who should Attend

• Researchers
• Academics
• Industry Representatives