Conference Information

APIT 2027: Asia Pacific Information Technology Conference

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Submission Date:
2026-08-10
Notification Date:
2026-09-15
Conference Date:
2027-01-22
Location:
Osaka, Japan
Years:
Viewed: 20388   Tracked: 6   Attend: 2

Conference Partner Index (CP-I)

51.6 / 100
Ranked #1,214 of 5,650 conferences · Top 22%
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%)
62
Community attention (10%)
34
Public record completeness (15%)
55

Inputs used: Editions on record: 9 · Researchers following it here: 6 · Researchers who opened this page in the past 24 months: 7

Missing from the public record: Historical acceptance rates (+4.5) · 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 2026-09-04

Call For Papers

APIT 2027 (Asia Pacific Information Technology Conference) is an academic conference held in Osaka, Japan on 2027-01-22. The paper submission deadline is 2026-08-10. Acceptance notifications are sent on 2026-09-15.

The APIT 2027 will present the most recent and exciting advances in Information Technology through keynote talks. APIT focuses on system modeling and information techniques in real engineering and scientific problems. It provides a forum that impacts the development of scientific computing, complex systems, control theory, signal and image processing, scheduling, data mining, discrete systems. Prospective authors are invited to submit papers on relevant algorithms and applications including, but not limited to: 1. Artificial Intelligence and Machine Learning Advances in deep learning and neural networks AI-driven decision-making systems Ethical AI and responsible machine learning AI applications in healthcare, finance, and education Natural language processing and conversational AI 2. Big Data and Data Science Big data analytics and visualization Data mining and knowledge discovery Privacy-preserving data sharing techniques Real-time data processing and stream analytics Applications of big data in smart cities and IoT 3. Cloud Computing and Edge Computing Cloud-native architectures and serverless computing Edge computing for low-latency applications Hybrid and multi-cloud strategies Security and privacy in cloud environments Cloud-based AI and machine learning platforms 4. Cybersecurity and Privacy Threat detection and response systems Blockchain for secure transactions and data integrity Privacy-enhancing technologies Cybersecurity in IoT and critical infrastructure Zero-trust architectures and secure access controls 5. Internet of Things (IoT) and Smart Systems IoT architectures and protocols Smart homes, cities, and industries Energy-efficient IoT devices and networks IoT security and privacy challenges Integration of IoT with AI and cloud computing 6. Software Engineering and Development Agile and DevOps methodologies Software quality assurance and testing Model-driven engineering and low-code platforms Open-source software development and communities Software security and vulnerability management 7. Human-Computer Interaction (HCI) User experience (UX) design and evaluation Augmented reality (AR) and virtual reality (VR) interfaces Accessibility and inclusive design Multimodal interaction and gesture-based controls HCI for AI-driven systems
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