会议信息

ICSIE 2027: International Conference on Software and Information Engineering

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截稿日期:
2026-08-20
通知日期:
2026-09-20
会议日期:
2027-01-15
会议地点:
Tokyo, Japan
届数:
15
浏览: 16122   关注: 2   参加: 0

征稿

ICSIE 2027 (International Conference on Software and Information Engineering) is an academic conference held in Tokyo, Japan on 2027-01-15. The paper submission deadline is 2026-08-20. Acceptance notifications are sent on 2026-09-20.

ICSIE is the premier international forum for Software and Information Engineering researchers to present and discuss their work. Authors are invited to submit full paper describing original research work in areas including, but are not limited to: Track 1: Advances in Software Engineering Processes and Methodologies Advanced agile software development Green-oriented software engineering Application Integration Technologies Architectural Design and Frameworks Big Data and Software Engineering Reverse Software Engineering Software Change, Configuration and Quality Management Software and Systems Development Methodologies and Complexity Micro Services Software Engineering Mobile applications-oriented software Track 2: Software Deployment, Operations and Reusability Internet-of-Things (IoT) oriented software Software for high speed data sensing Software for data analytics and pervasive systems Software for energy optimization Green/Sustainable Data-Center Management Search Engines and Information Retrieval Data Mining and Knowledge Discovery Safety and Security Critical Software Artificial Intelligence Reengineering and Reverse Engineering Software Deployment for Distributed and Intelligent Systems Track 3: Service Science and Information Engineering Business Process Management (BPM) and Engineering Delivery, Deployment and Maintenance of Service Systems Document and Workflow Management Knowledge Management and Engineering Service-Oriented Architectures (SOA) Service Level Agreements (SLAs) and Quality of Service (QoS) Enterprise Content Managements (ECMs) Cloud Computing and Business Intelligence (BI) Corporate Performance Management (CPM) Enterprise Data Warehouse Track 4: Computer Science and Engineering Education Lifelong Learning Interactive and Collaborative Learning Mobile Learning Environments and Applications Knowledge Management and Learning Educational Virtual Environments New Learning Models and Applications Research in Engineering and Computer Science Pedagogy Ethics in Engineering and Computer Science Education Role of Public Policy in Engineering and Computer Science Education Track 5: Biomedical and Healthcare Applications Biomedical Engineering Machine Learning for medical imaging Machine Learning in healthcare applications Bioinformatics Sensing, analysis and diagnosis in medical applications Big Data in medical applications
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