Welcome to the official website of 2026 10th International Conference on Control Engineering and Artificial Intelligence (CCEAI 2026). CCEAI 2026 conference is co-organized by National University of Singapore (NUS), Asia Pacific Institute of Science and Engineering(APISE), technically sponsored by Hong Kong Polytechnic University, sponsored by Tsinghua University, Beihang University.

CCEAI 2026 conference is the premier interdisciplinary forum for the presentation of new advances and research results in the fields of Control Engineering and Artificial Intelligence. The conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world.

ARTIFICIAL INTELLIGENCE

Algorithms;
Artificial Intelligence Tools & Applications;
Bioinformatics;
Natural Language Processing;
CAD Design & Testing;
Computer Vision and Speech Understanding;
Data Mining and Machine Learning Tools;
Heuristic and AI Planning Strategies and Tools;
Fuzzy Logic;
Computational Theories of Learning;
Hybrid Intelligent Systems;
Information Retrieval;
Intelligent System Architectures;
Knowledge Representation;
Knowledge-based Systems;
Multimedia & Cognitive Informatics;
Neural Networks;
Parallel Processing;
Pattern Recognition;
Pervasive Computing and Ambient Iintelligence;
Programming Languages;
Reasoning and Evolution;
Recent Trends and Developments;
Semantic Web Techniques and Technologies;
Soft Computing Theory and Applications;
Software and Hardware Architectures;
Web Intelligence Applications and Search;

CONTROL & AUTOMATION

Adaptive Control;
Automated Guided Vehicles;
Control Theory and Application;
Control Theory and Applications Optoelectronics;
Estimation and Identification;
Factory Modeling and Automation;
Fault Detection;
Flexible Manufacturing Systems;
Fuzzy and Neural Systems;
Industrial Process Control;
Instruments and Vibration Control;
Intelligent and AI Based Control;
Intelligent Automation;
Man-machine Interaction;
Manufacturing Control and Automation Engineering;
Material Processing and Control;
Modeling of Complex Systems;
Process Automation;
Process Control & Instrumentation;
Real-time Systems;
Sensor Networks and Networked Control;
Robotics;
Mechatronics;