Special Session Ⅰ- Intelligent Control of Cyber-Physical Systems under Cyber Attacks
Session Chair: Associate Professor Ning Sheng, Qingdao University of Science and Technology
Special Session Information:
Cyber-physical system is a hot issue in the world today. Its network security is closely related to economic, social development and national security lights. It is very important to study the security control of cyber-physical system.
Below is an incomplete list of potential topics to be covered in the Special Session:
Malicious attack detection for cyber-physical systems
State estimation of cyber-physical system
Cyber-physical system security control
Special Session Ⅱ- Artificial Intelligence in Coastal and Ocean Engineering
Session Chair: Associate Professor Can Cui, Ocean University of China
Special Session Information:
The special session covers research in artificial intelligence (AI) in coastal and ocean engineering, and applications in various different professional areas, e.g., theory, engineering, management and sustainability. The special session aims to bridge theory and practice in coastal and ocean engineering, by providing plenty of AI use cases and applications. This special session is of particular interest to researchers, engineers and project managers who are designing, managing and working on this subject.
Below is an incomplete list of potential topics to be covered in the Special Session:
Applications of AI in coastal engineering, management, and planning;
Applications of AI in ocean observation;
Applications of AI in detecting, forecasting, and parameterizing ocean phenomena;
Applications of AI in design, construction, and engineering of ships and offshore structures;
Applications of AI in motion control and decision-making of underwater robots.
Special Session Ⅲ- Applications of AI in Nonlinear System Control
Session Chairs: Associate Professor Xiaomiao Li, Yanshan University
Special Session Information:
The special session covers research in artificial intelligence (AI) in nonlinear systems and controller design, and applications in various different professional areas, e.g., fuzzy control, event-triggered control, stability analysis, performance optimization and parameter optimization . The special session aims to bridge theory and practice in nonlinear control, by providing plenty of AI use cases and applications. The use of AI to process and optimize nonlinear systems makes full use of the advantages of AI in many aspects, and also provides a new idea for the analysis of nonlinear systems. This special session is of particular interest to researchers, engineers and project managers who are designing, managing and working on this subject.
Below is an incomplete list of potential topics to be covered in the Special Session:
Application of AI in fuzzy model parameter optimization.
Application of AI to the optimization of thresholds for event triggers.
Application of AI to improve the performance indicators of positive fuzzy models.
Application of AI in increasing the robustness of nonlinear systems.
Special Session Ⅳ- Intelligent Detection and Monitoring: Technologies and Applications
Session Chair: Associate Professor Zhengfang Wang, Shandong University
Special Session Information:
Advanced sensor technology, robotic inspection techniques, and artificial intelligence algorithms are gradually being integrated into detection technology, injecting new momentum into the field of intelligent sensors and detection technology. Intelligent detection involves the utilization of advanced measurement techniques and artificial intelligence algorithms to gain deeper insights from sensor data. In recent years, remarkable progress has been made in intelligent detection technologies, particularly in the areas of advanced non destructive detection, structural health monitoring, and data analysis based on deep learning algorithms. Intelligent detection technology has been successfully applied in many fields, such as aerospace, remote sensing, transportation, and infrastructure engineering.
This Special Session aims to facilitate the sharing of the latest research results in the field of intelligent detection technology and its applications. Prospective authors are strongly encouraged to submit distinguished research papers that explore both theoretical approaches and practical case reviews within this subject area.
Below is an incomplete list of potential topics to be covered in the Special Session:
Non-destructive detection technologies: ground penetrating radar, ultrasonic detection, etc.
Structural health monitoring
Optical fibre sensors
Robotic inspection technologies and applications
Optimization techniques in automatic detection systems
Control techniques in autonomous inspection systems
Machine learning algorithms for data analysis and diagnosis
Important Dates：
Abstract Submission Deadline: March 20, 2024
Manuscript Submission Deadline: April 20, 2024
Special Session Ⅴ- Artificial Intelligence in Healthcare and Rehabilitation
Session Chairs: Associate Professor Huanghe Zhang, Shandong University
Professor Chuanyan Wu, Shandong Management University
Associate Professor Qingfeng Yin, The Second Hospital of Shandong University
Special Session Information:
This special session delves into the convergence of artificial intelligence (AI) with the realms of healthcare and rehabilitation. It explores a wide array of applications, ranging from medical diagnostics and treatment optimization to patient care, rehabilitation strategies, and overall healthcare management. By presenting a diverse collection of AI applications, this special session aims to bridge the theoretical advancements in AI with their practical implementation in the dynamic fields of healthcare and rehabilitation. It will be of particular interest to researchers, healthcare professionals, engineers, and project managers actively involved in integrating AI into healthcare practices.
Below is an incomplete list of potential topics to be covered in the Special Session:
AI applications for personalized treatment plans and medication optimization.
Early diagnosis and disease prediction through AI in healthcare.
AI-enhanced patient monitoring and advancements in telehealth services.
Robotic assistance and rehabilitation devices powered by AI for physical therapy.
AI-driven analysis of health data for preventive healthcare measures.
Improved healthcare resource management leveraging AI-based solutions.
AI-supported decision-making tools for medical professionals in diagnosis and treatment.
The implementation of AI in mental health diagnostics and therapy optimization
Applications of AI in the Field of Surgical Procedures
AI-assisted robotic surgeries in clinical settings such as laparoscopic procedures and precise joint replacement surgeries
AI for the growth and learning curves of surgical professionals
Special Session Ⅵ - Pattern Recognition and Intelligent Transportation Systems
Session Chairs: Professor Faliang Chang, Shandong University
Associate Professor Chunsheng Liu, Shandong University
Associate Professor Hailong Zhang, North University of China
Special Session Information:
Intelligent Transportation Systems (ITS) is for the design, analysis, and control of information technology for transportation systems and intelligent vehicles. In recent years, pattern recognition and AI methods have been largely improved this area, and have high potential in future research and commercial applications.
Below is an incomplete list of potential topics to be covered in the Special Session:
Intelligent Transportation Systems (ITS) techniques.
Pattern recognition techniques and ITS applications.
AI techniques and ITS applications.
Intelligent vehicles techniques.
Intelligent robot techniques.
Special Session VII - Intelligent Control and Coordination of Unmanned System
Session Chair: Professor Xingling Shao, North University of China
Special Session Information:
With the rapid development of science and Technology, artificial intelligence technology is becoming a key driving force to promote social and economic development. Intelligent control and coordination of unmanned systems enhance task efficiency, reduce manual intervention costs, and expand application domains. They play a crucial role in driving technological innovation, serving areas such as autonomous driving, smart manufacturing, and rescue operations. This contributes vital technological support for the future development of an intelligent society.
Below is an incomplete list of potential topics to be covered in the Special Session:
Data/mechnism hybrid driven modelling and identification of unmanned systems.
Path planning, coordinated operations, secure communication of unmanned systems.
Online learning and optimal control of unmanned systems.
Cluster optimization and cooperative control of unmanned systems.
Integrated self-learning of guidance, control and execution for unmanned systems.
Intelligent control of unmanned systems under information physical constraints.
Applications of autonomous unmanned vehicles, autonomous robots, unmanned aerial vehicles, and multi-satellite, etc.
Special Session VIII - Intelligent Optical Engineering Technology in Unmanned System
Session Chair: Professor Haoting Liu, University of Science and Technology Beijing
Special Session Information:
Optical engineering technologies have been extensively utilized in the design and application of unmanned system for years. Recently, the intelligent optical engineering technology focuses on using AI into the design, assembly, manufacturing, and application of optical components, imaging sensors, and even the complex optical communication device of unmanned system. The corresponding applications can be found in the fields of optical path designing, imaging sensors calibration, and vision navigation, etc.
Below is an incomplete list of potential topics to be covered in the Special Session:
AI in optical system designing of unmanned system.
AI in optical system assembly and manufacturing of unmanned system.
AI in optical system application of unmanned system.
AI in complex light fields tuning and control of unmanned system.
Special Session Ⅸ - Complex Network
Session Chair: Professor Zhen Zhang, Zhengzhou University
Special Session Information:
With the evolution of technology, the study of complex networks has gained significant momentum, leading to advancements in areas such as network analysis, data science, and applied mathematics. This special session aims to provide a forum for experts to share their latest cutting-edge topics, including network modeling, topological analysis, dynamics, and their real-world applications.
Below is an incomplete list of potential topics to be covered in the Special Session:
Complex network modeling, structure and function analysis
Dynamics on complex networks: propagation, games
Complex networks and big data analysis, artificial intelligence, and graph networks
Network security and privacy: challenges and solutions
Network control, multi-agent system control, and stability
Intersection and application of complex systems with other disciplines
Important Dates：
Abstract Submission Deadline: April 1, 2024
Manuscript Submission Deadline: April 8, 2024
Special Session X - Autonomous Control of Unmanned Systems
Session Chair: Professor Dan Liu, North University of China
Special Session Information:
Autonomous control of unmanned systems in complex environments enables rapid response to emergencies, efficient resource utilization, and enhanced reliability of task execution. Research on autonomous control of unmanned systems in such environments must address technical issues such as environmental perception and understanding, decision-making and planning, robustness, and fault tolerance.
Below is an incomplete list of potential topics to be covered in the Special Session:
Advanced Sensor Fusion and Scene Interpretation for Autonomous Systems in Complex Environments.
Machine Vision and Pattern Recognition for Target Detection and Tracking in Dynamic Environments.
Decision-Making and Path Planning Algorithms for Autonomous Navigation in Uncertain Scenarios.
AI-Driven Adaptive Learning and Decision-Making in Autonomous Unmanned Systems.
Comprehensive Testing and Validation Frameworks for Ensuring Reliability of Autonomous Systems in Challenging Environments.