Session Chairs: Prof. Shiyuan Wang, Southwest University, China

Prof. Yongjun Xu, Chongqing University of Posts and Telecommunications, China

Keywords: AI Communication, Intelligent Information Processing, Neural Networks for Wireless Communication, Adaptive Signal Processing

Information: With the rapid advancement of artificial intelligence technologies, communication systems and information processing paradigms are shifting toward being "AI-native," aiming for more efficient and robust data transmission and intelligent decision-making under complex environments. This topic focuses on the deep integration of AI with communication, signal processing, and control engineering, covering cutting-edge areas such as AI-assisted communication system design, intelligent sensing and reasoning, edge computing, and adaptive optimization. It aims to provide critical technical support and theoretical foundations for emerging intelligent systems in industrial automation, robotics, and control engineering, promoting cross-disciplinary innovation and real-world applications.

The topics to be covered include, but are not limited to:

• AI Native Communication

• Intelligent Systems and Artificial Intelligence Security

• Multi-agent Systems and Distributed Control

• Intelligence Information Processing

Submission Deadline: Sept. 15, 2025

Session Chairs: Prof. Min Wei, Chongqing University of Posts and Telecommunications, China

Assoc. Prof. Kun-Zhi Hu, Chongqing University of Posts and Telecommunications, China

Keywords: Industrial Internet Protocol, Industrial Internet Network, Industrial Internet Security, Industrial Internet Equipment, Wireless Energy Transmission, Wireless Data Transmission

Information: Industrial Internet, as the central driving force for digital transformation in manufacturing, is deeply dependent on the synergistic innovation of protocol standardization, high-reliability networks, systematized security, and intelligent device development. In industrial scenarios, Industrial Internet Protocols establish deterministic communication rules and data interoperability standards, providing foundational support for heterogeneous device interconnection and real-time control systems. The Industrial Internet architecture necessitates deep convergence of wired and wireless transmission technologies, with optimized capabilities in multi-protocol interoperability, network slicing, and edge computing to address challenges posed by high-concurrency data flows, ultra-low latency requirements, and dynamic topological variations in factory environments. Concurrently, industrial equipment is evolving towards wireless and intelligent paradigms: wireless data transmission technologies are progressively replacing traditional wired connections, while the integration of Wireless Power Transfer (WPT) effectively addresses power supply constraints for mobile devices, enabling fully wireless autonomous operation of AGVs (Automated Guided Vehicles), inspection robots, and similar systems. This research initiative focuses on the intersection of these technological domains, aiming to explore an integrated design architecture encompassing protocols-networks-devices-security, as well as innovative pathways for the convergence of wireless power and data transmission.

The topics to be covered include, but are not limited to:

• Industrial Network Protocols

• Industrial Cybersecurity

• Wireless Power Transfer

• Wireless Sensing

Submission Deadline: Sept. 15, 2025

Session Chairs: Vice General Manager Xinyu Liu, State Grid Chongqing Electric Power Company, China

Prof. Hongyu Long, Chongqing University of Posts and Telecommunications, China

Keywords: Renewable Energy, Green and Low-Carbon, Power System Automation, Optimal Dispatching and Control, New Energy Cyber-Physical Systems

Information: This conference session will focus on the latest advancements and cutting-edge applications in the field of new power system technologies. Topics include: optimal planning and operational control of new power systems, new power markets and trading mechanisms, renewable energy generation and grid integration control, new power automation and cyber-physical systems, innovative energy storage components and power conversion technologies, condition monitoring and intelligent operation and maintenance of power equipment, as well as new motor drive technologies. These technologies are increasingly being widely applied in areas such as ultra-long-distance high-power ultra-high-voltage transmission, power supply assurance for mega-cities, a unified national power market, green and low-carbon industrial production, and new energy vehicles. We aim to bring together experts, scholars, and engineering professionals from diverse backgrounds engaged in research on new power technologies to share their latest findings, foster technological exploration for low-carbon and green initiatives, and uncover new application scenarios.

The topics to be covered include, but are not limited to:

• Power Automation and Cyber-Physical System Security

• Virtual Power Plants and Adjustable Resources

• Grid Dispatching and Control in Power Market Environments

• Intelligent Monitoring and Operation & Maintenance of Power Equipment

• New Energy Vehicles and Grid Interaction

• New Types of Motors and Electric Drives

• Energy Storage and Power Conversion

• Planning and Control of AC-DC Hybrid Grids

Submission Deadline: Sept. 15, 2025

Session Chairs: Assoc. Prof. Yuzhu Guo, Beihang University, China

Researcher Cheng Chen, PKU-Changsha Institute for Computing and Digital Economy, China

Engineer Zongchang Han, Chinese Aeronautical Establishment, China

Keywords: Biomedical Sensor, Signal Processing, Brain-computer Interfaces, Affective Computing, Embodied Intelligence, Human-computer Interaction

Information: This special topic focuses on "Biomedical Information Perception, Computation and Control", aiming to bring together scientific researchers from around the world to discuss cutting-edge technologies and applications, and to promote the deep integration of multiple disciplines and the innovative development of the industry. Centering on new sensing technologies such as wearable devices and implantable sensors, it precisely captures physiological signals like electrocardiogram (ECG), electroencephalogram (EEG), and electromyogram (EMG). By leveraging artificial intelligence algorithms such as machine learning and deep learning, it conducts in-depth mining and analysis of massive biomedical data. Through intelligent control, it enhances the efficiency and quality of medical treatment and human-computer interaction. Through academic exchanges, achievement exhibitions, and cooperative discussions, it breaks through technical bottlenecks, brings new development opportunities to the biomedical field, promotes the widespread application of relevant technologies in various scenarios such as healthcare and rehabilitation nursing, and benefits human health.

The topics to be covered include, but are not limited to:

• Biological Information Sensing

• Wearable Biological Sensing Technology

• Biomedical Information Processing and Computation

• Machine Learning and Deep Learning for Biomedicine

• Applications of Generative Artificial Intelligence in the Biomedical Field

• Human-Computer Interaction and Embodied Intelligence

• Brain-Computer Interface and Rehabilitation Technology

Submission Deadline: Sept. 15, 2025

Session Chairs: Prof. Ming Lu, Hunan University of Science and Technology, China

Prof. Changzhong Pan, Hunan University of Science and Technology, China

Keywords: Embodied Intelligent Robotics, Joint Design and Optimization, Actuation and Control Technology, Sensor Integration and Feedback, Bio-inspired Structures and Materials, Human-Robot Collaboration and Interaction

Information: Embodied intelligent robotic joint technology is the core foundation for achieving dexterous motion, environmental adaptation, and intelligent interaction in robots. Recent breakthroughs in bionics, flexible actuation, high-precision sensing, and intelligent control algorithms have driven joint design toward lightweight, high dynamic response, and multimodal perception. However, challenges remain in energy efficiency optimization, dynamic stability, and human-robot collaboration safety. This session focuses on cutting-edge technologies in embodied robotic joints, including innovative actuation mechanisms (e.g., muscle-inspired actuators, magnetorheological fluid joints), multimodal sensor fusion, material-structure-control co-design, and dynamic modeling with real-time optimization. It aims to promote applications in industrial automation, medical rehabilitation, and service robotics.

The topics to be covered include, but are not limited to:

• Intelligent Joint Actuation (Bio-inspired Actuators, Magnetorheological Materials, Soft Actuation)

• High-precision Joint Sensing and Multimodal Data Fusion

• Bio-inspired Joint Structures and Lightweight Material Design

• Dynamic Control Algorithms and Real-time Optimization for Joints

• Safe Interaction and Haptic Feedback in Human-Robot Collaboration

• Application Validation in Industrial, Medical, and Exoskeleton Scenarios

Submission Deadline: Sept. 15, 2025

Session Chairs: Assoc. Prof. Xiangyun Li, West China Hospital, Sichuan University, China

Assoc. Prof. Peng Chen, Southwest Jiaotong University, China

Keywords: Rehabilitation Robot, Nursing Robot, Design of Assistive Mechanisms, Control of Assistive Robots, Human-robot Interaction

Information: In medical applications such as rehabilitation and nursing care, assistive robots address the limitations of traditional operations that involve high physical demands, stringent skill requirements, and prolonged operational durations. These types of robots embody an advanced integration of medical methodologies and robotic technologies. To ensure operational safety and clinical efficacy, three critical factors determine the practical implementation of assistive robots in clinical settings: optimized mechanisms design, active compliance control, and accurate recognition of user interaction intention. The above technological components collectively form the foundation for enabling safe human-robot collaboration and achieving task-specific therapeutic outcomes.

The topics to be covered include, but are not limited to:

• Rehabilitation Robot

• Nursing Robot

• Design of Assistive Mechanisms

• Control of Assistive Robots

• Human-robot Interaction

Submission Deadline: Sept. 15, 2025

Session Chairs: Assoc. Prof. Yue Zhao, Chongqing University of Posts and Telecommunications, China

Prof. Dajiang Lei, Chongqing University of Posts and Telecommunications, China

Keywords: Intelligent Healthcare, Information processing, Adaptive Optimisation

Information: With the rapid development of artificial intelligence and big data technologies, intelligent healthcare systems are becoming crucial to modern medicine. By leveraging machine learning, deep learning, and reinforcement learning, these systems can accurately analyze medical images, optimize clinical workflows, and assist in decision-making. However, challenges remain in enhancing model generalization, optimizing the efficient use of medical data, and ensuring algorithm security and interpretability. This forum will focus on key areas such as adaptive learning in intelligent healthcare systems, optimization algorithms, personalized medicine, medical image analysis, and AI-assisted diagnosis. By highlighting the latest academic research and industry applications, we aim to explore cutting-edge advancements in AI-driven healthcare, promoting the efficient optimization and widespread adoption of intelligent healthcare systems to support the future of precision medicine and smart healthcare.

The topics to be covered include, but are not limited to:

• Medical Image Processing and Analysis

• Multimodal Medical Data Analysis and Mining

• Intelligent Diagnostics and Decision Support

• Edge Computing and Lightweight Deployment

• Telemedicine and Intelligent Healthcare Systems

Submission Deadline: Sept. 15, 2025

Session Chairs: Dr. Jingming Hou, Southwest Hospital, China

Assoc. Prof. Ke Liu, Chongqing University of Posts and Telecommunications, China

Keywords: BCI, Neural Decoding, Brain Disorder Diagnosis and Therapy

Information:This session focuses on neural signal decoding technologies in brain-computer interfaces (BCIs) and their applications in brain disorder diagnosis and therapy. It encompasses the complete research spectrum from fundamental algorithms (e.g., high-precision motor/cognitive intention decoding) to clinical translation (e.g., epilepsy prediction, early diagnosis of neurodegenerative diseases).

Key research directions include:

(1) Innovations in neural decoding: Real-time signal processing and intention recognition algorithms using EEG/ECoG/fNIRS;

(2) Precision medicine applications: BCI implementations for epileptic seizure intervention, post-stroke motor function restoration, and cognitive impairment assessment;

(3) Clinical challenges and solutions: Critical issues including signal noise suppression, cross-subject generalization, and long-term implantation safety

Through multidisciplinary integration (engineering, neuroscience, and clinical medicine), this session aims to advance BCI technologies from laboratory research to practical healthcare scenarios.

The topics to be covered include, but are not limited to:

• BCI Decoding Methods

• BCI-Based Diagnostic Approaches for Neurological Disorders

• BCI in Neurological Treatment and Rehabilitation

• BCI-Digital Therapy Convergence

Submission Deadline: Sept. 15, 2025