Conference Information

CCAT 2026: International Conference on Computer Applications Technology

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Submission Date:
2026-11-05 Due in 47 days Extended
Notification Date:
2026-11-30
Conference Date:
2026-12-18
Location:
Fukuoka, Japan
Years:
5
Organizer:
Viewed: 7323   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

44.3 / 100
Ranked #3,084 of 5,682 conferences · Top 55%
Academic recognition (35%) No data - scored at the neutral baseline of 50
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%)
48
Community attention (10%)
19
Public record completeness (15%)
35

Inputs used: Editions on record: 5 · Researchers who opened this page in the past 24 months: 11

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-19

Call For Papers

CCAT 2026 (International Conference on Computer Applications Technology) is an academic conference held in Fukuoka, Japan on 2026-12-18. The paper submission deadline is 2026-11-05 (extended). Acceptance notifications are sent on 2026-11-30.

The conference aims to share and disseminate, to all branches of industries, information on the most recent and relevant research, theories and practices in Computer Applications Technology. We welcome papers in, but not limited to, the following areas: Topic 1: Software Engineering and Modern Development Software Requirements and Engineering Software Architecture, Design Patterns, and Microservices Modern Programming Paradigms and Languages Software Quality Assurance, Verification, and Validation Empirical Software Engineering and Metrics Formal Methods in Software Engineering AI-Augmented Software Engineering Software Engineering for AI Systems Embedded, Real-Time, and Cyber-Physical Systems Software Mobile, Web, and Cross-Platform Application Development Game Design, Development, and Engine Technology Sustainable and Green Software Engineering Topic 2: Artificial Intelligence and Computational Intelligence Machine Learning, Deep Learning, and Neural Networks Evolutionary Computing and Meta-heuristic Optimization Natural Language Processing and Large Language Models Computer Vision, Image, and Video Processing Intelligent and Adaptive Human-Computer Interaction Foundation Models, Generative AI, and Multimodal Learning Explainable AI, AI Safety, Fairness, and Ethics Big Data Analytics, Mining, and Management AI for Scientific Computing and Discovery AI in Healthcare, Bioinformatics, and Biomedical Applications AI for Environmental Science and Sustainability Topic 3: Intelligent Systems and Industrial Informatics (Industry 4.0/5.0) Smart Manufacturing, Production, and Process Control Predictive and Prescriptive Maintenance Industrial Internet of Things and Smart Sensor Systems Robotics, Autonomous Systems, and Flexible Automation Mixed, Augmented, and Virtual Reality in Industry Industrial AI and Cognitive Manufacturing Digital Twins and Cyber-Physical Production Systems Supply Chain Optimization and Cost Modeling Smart Cities, Urban Informatics, and Connected Infrastructure Connected and Autonomous Vehicles Sustainable Industrial Systems and Green Computing Topic 4: Computer Systems, Networks, and Cybersecurity Operating Systems and Distributed Systems Computer Networks, Communication Protocols, and Next-Generation Internet High-Performance, Parallel, and Cloud Computing Edge, Fog, and Mobile Edge Computing Architectures Cybersecurity, Cryptography, and Network Security Digital Forensics, Threat Intelligence, and Intrusion Detection Information Security, Privacy, and Trust Management Blockchain, Decentralized Applications, and Web3 Technologies Social Network Analysis, Security, and Misinformation Detection Neuromorphic Computing and Brain-Computer Interfaces
Last updated by Dunn Carl on

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