12 th International Conference On Information Systems And Advanced Technologies (ICISAT 2022)

July - 22 ~ 23 ,2022 Istanbul

Scope & Topics

12 th International Conference On Information Systems And Advanced Technologies (ICISAT 2022) shall be held from July - 22 ~ 23 ,2022 via hybrid mode. The hybrid (both face-to-face and virtual) conference will be held at a Best Western i-City Shah Alam. The 2nd ICPEA is organized by the College of Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, Malaysia and co-sponsored by the IEEE Power and Energy Society (PES), Malaysia Chapter

Topics of Interest :

SOFTWARE TECHNOLOGIES

• Business Process Modelling
• IT Service Management
• Interoperability and Service-Oriented Architecture
• Business Intelligence and Big Data
• Decision Support Systems
• Intelligent Problem Solving
• Virtual and Network Organizations
• Trust, Security and Privacy
• Business Process Coordination and Synchronization

  INFORMATION SYSTEM PROJECT MANAGEMENT

• Detection Project Management Software
• Scheduling and Estimating
• Software Metrics
• Project Planning, Monitoring and Control
• Agile Methodologies

  SOFTWARE ENGINEERING

• Requirements Elicitation and Specification
• Software and Systems Integration
• Software Testing and Maintenance
• Model-driven Engineering
• Software and Systems Quality
• Software and Information Security

  DISTRIBUTED AND MOBILE INFORMATION SYSTEMS

• Distributed Architectures
• Cloud Applications
• Mobile Technologies and Applications
• Ambient Intelligence and Digital Ecosystems
• Agents and Multi-agent Systems

  SERVICE SCIENCE AND BUSINESS INFORMATION SYSTEMS

• Value Chains and Co-Creation in Service Systems
• Service-Oriented Architectures (SOA)
• Semantic Web Services
• Delivery, Deployment and Maintenance of Service Systems
• Service Level Agreements (SLAs) and Quality of Service (QoS)

  Big Data and Smart Computing

• echniques, models and algorithms for big data
• Tools and systems for big data
• Machine learning and AI for big data
• Data mining, graph mining and data science
• Web search and information retrieval