2026 International Conference on Electrical Automation, Intelligent Systems, and Smart Manufacturing Concludes in Wuhan
The 2026 International Conference on Electrical Automation, Intelligent Systems, and Smart Manufacturing (EASIM 2026) was successfully held from July 10–12 at the Royal Grace Hotel, Wuhan, China. Organized under the theme "Intelligence Empowering Future Manufacturing," the event featured keynote sessions, oral presentations, and poster displays, drawing experts and scholars from universities, research institutes, and industry worldwide to exchange cutting-edge advances in electrical automation, autonomous systems, and smart manufacturing.
Hosted by Hankou University, the conference opened with a welcome address by Prof. Huang Tianshu, Supervisor of the University Board and Director of the Institute of Scientific Research. Prof. Wang He, Vice President, and Prof. Deng Yi, Dean of the School of Electronic Information Engineering, chaired the morning and afternoon sessions, respectively, with Vice President Prof. Cao Feng in attendance.
Distinguished keynote speakers presented pioneering research:
Prof. Shunqi Mei, Wuhan Textile University, China
Title: Thoughts and Practices on Key Technologies for the New Generation of Intelligent Manufacturing - Taking the Textile Industry as an Example
Prof. Jing Chen, Wuhan University of Technology, China
Title: Key Technologies and Demonstration of E-H-A Integrated Microgrid
Prof. Teng Zhou, Hainan University, China
Title: Green Fabrication and Multi-Field Synergistic High-Performance Regulation of Nano-Confined Osmotic Power Generation Devices
Prof. Hai Liu, Central China Normal University, China
Title: Key technologies for fine-grained estimation of head posture in human-robot interaction environments
Prof. Yufang Chang, Hubei University of Technology, China
Title: Research on Electromagnetic Coupling Mechanism and Disturbance Suppression Method of Dynamic Wireless Charging System for Electric Vehicles
In parallel oral sessions, early‑career researchers from Hankou University, Wuhan Vocational College of Information and Communication, Xi’an Modern Control Technology Research Institute, and other institutions presented topical studies, including random‑forest‑based fault line selection for mine power grids, Simdroid‑based statics analysis and simulation APP design for Mecanum wheels, sensorless vector control startup for PMSM automotive compressors, grid‑connection evaluation frameworks for vanadium redox flow battery storage systems, and ELM‑neural‑network‑based condition prediction for electrical equipment. Lively discussions addressed novel control algorithms, multi‑agent coordination, digital twins and virtual factory design, and AI‑driven process optimization using industrial big data.
EASIM 2026 provided a high‑level international platform for academic exchange, fostering cross‑disciplinary innovation and industrial translation in electrical automation, autonomous systems, and smart manufacturing, and injecting strong momentum into the digital transformation and intelligent upgrading of global manufacturing.