Conference Information

MIWAI 2025: Multi-Disciplinary International Conference on Artificial Intelligence

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Submission Date:
2025-08-25
Notification Date:
2025-09-01
Conference Date:
2025-12-03
Location:
Ho Chi Minh City, Vietnam
Years:
18
Viewed: 32388   Tracked: 2   Attend: 1

Conference Partner Index (CP-I)

50.5 / 100
Ranked #1,498 of 5,693 conferences · Top 27%

#144 of 742 in Artificial Intelligence & Machine Learning

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%)
79
Community attention (10%)
19
Public record completeness (15%)
35

Inputs used: Editions on record: 18 · Researchers following it here: 2 · Researchers who opened this page in the past 24 months: 2

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 2026-10-03

Call For Papers

MIWAI 2025 (Multi-Disciplinary International Conference on Artificial Intelligence) is an academic conference held in Ho Chi Minh City, Vietnam on 2025-12-03. The paper submission deadline is 2025-08-25. Acceptance notifications are sent on 2025-09-01.

Artificial intelligence is a broad area of research. We encourage researchers to submit papers in the following areas but not limited to: Scope and Topics Machine Learning & Deep Learning Neural networks and representation learning Reinforcement learning and decision-making Explainable AI and trustworthy ML Natural Language Processing & Speech Recognition Large language models and generative AI Multimodal AI and human-AI interaction Sentiment analysis and discourse modeling Computer Vision & Image Processing Object detection and scene understanding Medical imaging and biometrics AI-driven creative applications (e.g., art, design, and multimedia) Robotics & Autonomous Systems AI for robotics and intelligent automation Multi-agent systems and swarm intelligence Human-robot interaction AI for Society, Ethics & Applications AI for healthcare, finance, and smart cities Ethical AI, bias mitigation, and fairness AI-driven education and learning analytics AI Theory & Algorithms Computational intelligence and optimization Knowledge representation and reasoning Probabilistic modeling and uncertainty in AI Agentic AI Defining agency in AI Reinforcement learning in agentic AI systems Multi-agent coordination and negotiation strategies Handling uncertainty and risk in agentic AI decision-making Large Language Model Interpretability and Explainability Alignment and Safety Multilingual & Cross-Lingual Learning Agentic AI with LLM
Last updated by Dou Sun on

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