Welcome to
APAM 2027
2027 2nd Asia-Pacific Conference on Artificial Intelligence and Machine Learning (APAM 2027)
Venue
Ningbo, China
Conference Dates
July 23-25, 2027
Full Paper Submission Date
May 20, 2027
Notification of Acceptance
June 23, 2027
Registration Deadline
July 8, 2027
About APAM 2027
The 2027 2nd Asia-Pacific Conference on Artificial Intelligence and Machine Learning (APAM 2027) ， aiming to bring together professors, researchers, scholars, and industry pioneers from around the globe, fostering a dynamic platform for interdisciplinary exchange in the rapidly evolving fields of artificial intelligence and machine learning. As a premier forum in the region, APAM provides a unique opportunity for the presentation and exchange of past experiences, emerging advances, and cutting-edge research results spanning both theoretical foundations and industrial applications. The conference warmly welcomes contributions that promote the exchange of ideas and rational discourse among educators, researchers, and practitioners worldwide. With a strong commitment to bridging academia and industry, APAM 2027 invites prospective authors to submit their original manuscripts and share their latest findings with the global AI and ML community. Set in the historic and vibrant city of Ningbo, this event promises not only rich academic interactions but also opportunities for cultural and professional networking in an inspiring setting.
Submission & Publication
All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus for indexing.
Please send the full paper (Word+PDF) to Submission System.
📤︎Submission System (CN)📤︎Submission System (EN)
Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.
The topics of interest for submission include,
But are not limited to:
📚︎Track 1: AI & Machine Learning Methods
Machine Learning Methods and Applications
Deep Learning and Reinforcement Learning
Neural Networks
Computational Learning Theory
Optimization of AI/ML Methods
Pattern Recognition and Classification
Data Mining and Knowledge Discovery
Hybrid Intelligent Systems
Soft Computing Theory and Applications
Experimental Evaluation of AI/ML Algorithms
Distributed and Parallel AI/ML Algorithms
Algorithmic Tools for AI/ML
📚︎Track 2: Intelligent Systems and Applied Machine Learning
Computer Vision and Image Understanding
Signal and Image Processing
AI/ML Applications in Vision and Imaging
Natural Language Processing
Speech and Language Processing
AI/ML Applications in NLP and Speech
Multimedia Analysis and Cognitive Informatics
AI-based Intelligent System Architectures
Robotics and Intelligent Automation
Applied Machine Learning for Intelligent Manufacturing
Machine Learning Methods for Network Optimization
Machine Learning for Internet of Things
Security and Privacy of AI/ML Systems
Experimental Evaluation and Deployment of AI/ML Applications
If you have any questions or inquiries,
Please feel free to contact us.