2026 6th International Conference on Electrical Engineering and Mechatronics Technology (ICEEMT 2026)

The 5th International Conference on Electrical Engineering and Mechatronics Technology (ICEEMT 2025), hosted by Southern University of Science and Technology and organized by the School of Automation and Intelligent Manufacturing of Southern University of Science and Technology, was successfully held and concluded in Shenzhen from October 17th to 19th, 2025. This conference brought together experts and scholars from renowned universities and research institutions around the world to jointly discuss the latest technological advancements and research achievements in the fields of electrical engineering and mechatronics, promoting international academic exchanges and cooperation.

The opening ceremony of the main venue in the morning of the conference was presided over by Professor Liu Derong, Chair Professor of Southern University of Science and Technology [Academician of the European Academy of Sciences, IEEE/INNS/IAPR Fellow].

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We also specially invited Researcher Kong He, the Party Secretary of the School of Automation and Intelligent Manufacturing at Southern University of Science and Technology, a National high-level Overseas talent, to deliver a welcoming speech, expressing his warm welcome and sincere wishes to the attending experts and scholars.

Professor Marios Polycarpou from the University of Cyprus, Director of the KIOS Center and IEEE/IFAC Fellow, delved deeply into the resilience of cyber-physical systems in complex networked environments and introduced intelligent monitoring technologies based on artificial intelligence and machine learning. It provides innovative ideas for enhancing the stability and fault resistance of key social infrastructure.

（Enhancing Resilience of Cyber-Physical Systems）

Professor Cesare Alippi from Politecnico di Milan, Italy [IEEE/INNS/ELLIS Fellow], shared the latest developments of graph neural networks in processing irregular spatio-temporal data, especially the breakthroughs in data interpolation and future prediction, opening up a new path for spatio-temporal data analysis.

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（Graph Deep Learning for Irregular Spatiotemporal Data）

Professor Huang Tingwen, a Distinguished Professor at Shenzhen Institute of Technology and an IEEE/AAIA Fellow, introduced an AI motion imitation technology that combines modal analysis and neural networks, achieving cross-morphological transfer of complex animations among dinosaur models and bringing a brand-new approach to the fields of digital entertainment and simulation.

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（AI-Driven Motion Imitation in Dinosaur Models via Neural and Modal Analysis）

Professor Hou Zhongsheng from Qingdao University, an IEEE/CAA Fellow, comprehensively expounded on the dynamic linearized data model and its comparison and prospects with the traditional state space model from the perspective of data-driven control, promoting the deep integration of theory and application.

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（Dynamic Linearization Data Model and Its Prospects）

In addition, the invited reports at the afternoon meeting were equally brilliant and eye-catching. Professor Ye Maojiao from Nanjing University of Science and Technology, a National High-level Young Talent, has proposed an innovative distributed optimization algorithm for the problem of online resource allocation. For systems with freely entering and leaving nodes, she has achieved the minimization of multi-agent costs and collaborative balance through projected gradients and dual averaging methods.

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（Distributed online resource allocation and games with free-in and free-out nodes）

Professor Liu Changxin from East China University of Science and Technology, a National High-level Young Talent, has proposed a unified framework for robust distributed optimization under bounded perturbations. This framework not only has strong universality and can integrate multiple existing RDO algorithms, but also effectively accelerates algorithm convergence by reasonably relaxing the step size limit.

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（A Unified Framework for Robust Distributed Optimization under

Bounded Disturbances）

The oral presentation session in the second half of the conference showcased outstanding research achievements from multiple universities and research institutions. The topics covered included the lightning current characteristics of 220kV transmission lines, the influence of multi-factor coupling, a comparison of motion capture control technologies, the thermal aging assessment of generator insulation, and the path planning of mobile robots. It also included the application of deep reinforcement learning in electric vehicle charging, fault detection algorithms for electromechanical systems, the control of permanent magnet synchronous motors in rail transit, the electrothermal coupling analysis of DC capacitors, innovative robot arm structure design, and the optimization of grid energy storage configuration and economic operation strategies for microgrids. Each presentation was highly engaging, demonstrating the cutting-edge progress and application potential in the fields of electrical engineering and mechatronics technology.