ISEAE 2027 serves as good platforms for academics, researchers, and engineers to meet and exchange innovative ideas and information on all aspects of Information Science, Electrical and Automation Engineering. We are delighted to invite you to participate in ISEAE 2027.
Topics of interests are in the broad areas of Information Science, Electrical and Automation Engineering, including but not limited to:
📚︎ Track 1: Information Science and Intelligent Systems
Information extraction and signal processing
Big data analysis and information mining
Communication network and information transmission
Intelligent information processing system
Industrial intelligent perception and information processing
Network intelligence and information security
Computer vision and intelligent image processing
Computational imaging and computational perception
Industrial target detection and recognition
Sensor network and Internet of Things information architecture
Industrial reinforcement learning and autonomous decision system
Network intelligent transmission system
Industrial decision-making intelligence system
Information coding and media intelligence system
Industrial intelligent expert system
📚︎ Track 2: Signal Processing and Communication Technology
Industrial digital signal processing (DSP)
Radar signal processing
Millimeter-wave and terahertz communication
Optical communication technology
Communication and perception integration
Multimedia signal processing
Wireless communication systems and technologies
5G and future 6G communication technologies
Optical fiber communication technologies
Industrial Internet of Things communication
Optical image processing and remote sensing
Space signal processing technology
Hardware implementation of industrial signal processing
Secure communication and encryption technology
Industrial satellite and deep-space communication
📚︎ Track 3: Electrical Engineering and Energy Systems
Industrial power transmission and distribution
Smart grid and microgrid technology
Power system automation
Industrial motor and electrical appliances
Industrial energy storage technology
Industrial power electronics technology
High voltage technology and insulation technology
Power quality analysis and control
Industrial energy systems
Electric vehicle technology
Power system communication
Electromagnetic compatibility
Industrial electrical measurement
Circuit and system
Industrial battery management system
📚︎ Track 4: Automation Control and Intelligent Robots
Control theory and application
Networked robot and intelligent control
Advanced robot and control
Industrial robot
Industrial unmanned system theory and technology
Industrial multi-agent systems
Industrial embedded system
Industrial sensor technology
Mechatronics
Intelligent manufacturing
Industrial artificial intelligence
Complex system control
Industrial equipment fault diagnosis and fault tolerance
Advanced sensing technology
Intelligent automation
📚︎ Track 5: Network-based Control Systems and Intelligent Automation
Industrial networked control system modeling and control
Stability analysis of industrial network-based control systems
Wireless network-based industrial control systems
QoS optimization for industrial networked control
Security protection of industrial network control systems
Intelligent scheduling techniques for networked control
Fault tolerance and fault accommodation of NBCS
Communication protocol design for industrial control networks
Hardware implementation of industrial networked control systems
Energy management for industrial network-based control
Factory automation based on networked control technology
Networked control for industrial robot systems
Network-based control for intelligent vehicle systems
Remote monitoring and control of industrial network systems
Modular and self-configurable industrial networked control
📚︎ Track 6: Data-driven Automation & Intelligent Systems
Industrial data-driven modeling and system identification
Industrial intelligent control and decision-making systems
Deep reinforcement learning for industrial applications
Data-driven industrial fault diagnosis and prognosis
Industrial predictive maintenance
Automation process optimization
Artificial intelligence in industrial automation
Autonomous driving and intelligent transportation
Big data-driven automation analysis
Embedded implementation of machine learning
Fuzzy and neural network systems
Data security in automation systems
Network scheduling and QoS optimization
Data-driven fault-tolerant control
Stability and robustness of networked control