On 18 March, Xi’an Jiaotong-Liverpool University (XJTLU) hosted the Intelligent Engineering 2026: XJTLU-XJTU-UoL Joint Symposium alongside Xi’an Jiaotong University (XJTU) in China and the University of Liverpool within the UK.
The occasion introduced collectively consultants from the three universities and different Chinese establishments to debate advances in intelligent engineering.
It additionally confirmed the deep collaboration between XJTLU and its guardian universities. Since XJTLU’s founding, the three have co-authored almost 2,000 tutorial papers in journals listed by Scopus and Web of Science databases.
In the 2024-25 tutorial yr, the primary batch of 11 joint PhD analysis tasks opened for enrollment, primarily targeted on engineering fields corresponding to power and energy, mechanical engineering, and electrical engineering.
In the 2025-26 tutorial yr, the variety of tasks elevated to 14. Disciplinary attain has widened from conventional engineering into public coverage, life sciences, cybersecurity and pharmacy.

Professor Zhoulin Ruan
“Cooperation has evolved from preliminary coordination to deep integration,” stated Professor Zhoulin Ruan, Vice President of Academic Affairs at XJTLU, in his opening tackle. “It has moved from single-field collaboration to multi-dimensional, all-round cooperation, yielding notable results in research and talent cultivation.”

Professor Xuesong Mei
Presentations highlighted the breadth of analysis subjects. Professor Xuesong Mei, from XJTU’s School of Mechanical Engineering, mentioned manufacturing knowledge flows and proposed software program options for smart-factory management.
Professor Biao Huang, from XJTLU’s School of Intelligent Manufacturing Ecosystem, recognized automation, deep studying and reinforcement studying as three technological breakthroughs, every increasing productiveness, notion and strategic autonomy.
Dr Guangliang Chen, from the University of Liverpool’s Department of Computer Science and Informatics, addressed the problem of multimedia authenticity within the period of generative AI. He offered work on deepfake detection utilizing vision-language fashions and showcased deployable techniques, together with SIDA and So-Fake.

Dr Guangling Chen
In the breakout classes, consultants and students from XJTLU, Xi’an Jiaotong University, Nanjing University, Soochow University, Suzhou National Laboratory, and others, shared analysis and held discussions centred on three main themes: intelligent techniques and embodied intelligence, materials constructions and bodily intelligence, and human-centred intelligent interplay, digital twin expertise, and its social influence.
This joint symposium has solidified the analysis connections between the three universities by offering a platform for tutorial trade and scientific analysis cooperation within the subject of intelligent engineering.
By XJTLU Research Management Office
Photography by Lezhi Li
Edited by Bo Kou and Patricia Pieterse