Sun Yat-sen University · SYSU

AI Cube

Advanced Manufacturing Intelligence Laboratory

Sun Yat-sen University · Shenzhen

Artificial
Intelligence
AI-driven manufacturing
Augmented
Informatics
Cross-modal data fusion
Advanced
Industry
Real industrial challenges
Multimodal Time-Series Large Models Smart Manufacturing Predictive Maintenance Industrial Big Data

News

Latest Updates

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Great News🏆: Two AI Cube Lab Projects Approved as National-Level Innovation Programs

Great News🏆: Two AI Cube Lab Projects Approved as National-Level Innovation Programs

Two undergraduate innovation projects guided by AI Cube Lab — 'Multi-Agent Collaborative Perception and Machining Quality Optimization for Additive Manufacturing Based on High-Dimensional Time-Series Large Models' and 'Domestic PLC Large Model Edge Inference and Full-Stack Intelligent Control for Advanced Manufacturing' — were both approved as National-Level College Students' Innovation and Entrepreneurship Training Program projects, sweeping all slots allocated to the School of Advanced Manufacturing this year.

Great News🏆: AI Cube Lab Teams Win Two Second Prizes at Computer Design Contest

Great News🏆: AI Cube Lab Teams Win Two Second Prizes at Computer Design Contest

Two undergraduate teams from AI Cube Lab won Second Prize in the Guangdong regional round of the 2026 China Collegiate Computer Design Contest's Artificial Intelligence Application track. The project 'High-Dimensional Time-Series Multi-Agent Collaborative Perception and Defect Diagnosis for FDM Printing' was recommended for the national finals, while 'Domestic PLC Large Model Edge Inference and Full-Stack Intelligent Control for Advanced Manufacturing' was one of only two award-winning entries from Sun Yat-sen University in the AI Practice competition category.

Zhongshen Shishuo | Jianshe Feng: Teaching How to Fish — The Process Itself Is the Answer

Zhongshen Shishuo | Jianshe Feng: Teaching How to Fish — The Process Itself Is the Answer

The 'Zhongshen Shishuo' (SYSU Shenzhen Faculty Talk) column features an exclusive interview with Prof. Jianshe Feng of SYSU Shenzhen Campus — tracing the journey of a scholar who walked back from the industrial front lines to the lecture hall, and how his 'teach to fish' philosophy led a joint undergraduate-graduate-doctoral team to claim the global championship of the PHM Data Challenge, while cultivating next-generation engineering talent.

Lab Director

Associate Professor Jianshe Feng

Contact Information

Email: fengjsh7[at]mail[dot]sysu[dot]edu[dot]cn
Address: Room 518, East Building, Science Park, Sun Yat-sen University, 66 Gongchang Road, Guangming District, Shenzhen, Guangdong Province

Shenzhen Overseas High-level Talent ("Peacock Plan" Talent)

Associate Professor and PhD Supervisor, specializing in interdisciplinary research at the intersection of industrial artificial intelligence and advanced manufacturing.

Rich Industry Experience

Formerly served as CTO of Xinrun Fulian Digital Technology, Industrial Intelligence Product Leader at Foxconn Industrial Internet, and Research Scientist at General Motors USA.

Outstanding Academic Achievements

Published over 30 papers, more than 100 Chinese and foreign invention patents, with over 1000 Google Scholar citations.

Industry Collaboration

Key Research Projects

Deep collaboration with renowned enterprises to promote industrial application of research results

  1. 01

    Semiconductor Manufacturing Process Monitoring

    Collaborating with Applied Materials USA to develop online monitoring systems for ultra-hard wide-bandgap semiconductor manufacturing processes.

  2. 02

    New Energy Vehicle Smart Manufacturing

    Collaborating with Xiaomi Auto to build smart manufacturing quality control systems, improving production efficiency and product quality.

  3. 03

    High-end Equipment Predictive Maintenance

    Collaborating with Shanghai Electric to develop industrial equipment health management and fault early warning systems.

  4. 04

    Industrial Big Data Platform

    Collaborating with Foxconn to build industrial internet data analysis and intelligent decision-making platforms.

Welcome to Join
AI Cube Laboratory

We offer full funding for admitted students and welcome applicants from mechanical engineering, electrical engineering, computer science, automation, and related fields.Join us to push the frontiers of industrial AI and advanced manufacturing.