Team Members
Advanced Manufacturing Intelligence Laboratory has an international research team dedicated to innovative research in industrial artificial intelligence and advanced manufacturing
Laboratory Director
Associate Professor Jianshe Feng
Shenzhen Overseas High-level Talent ('Peacock Plan' Talent)
Contact Information
Educational Background
Ph.D.: University of Cincinnati, USA (2020)
M.S.: Zhejiang University (2015)
B.S.: Tongji University (2012)
Professional Affiliations
Academic Journals: Young Editorial Board Member of "Smart Manufacturing" Journal, First Young Editorial Board Member of "AI for Science"
Academic Organizations: IEEE Member, ASME Member, Senior Member of Chinese Mechanical Engineering Society
Academic Service: Reviewer for more than ten internationally renowned journals, Program Committee Member of multiple international conferences
Research Areas
Industrial Artificial Intelligence • Smart Manufacturing • Predictive Maintenance
Multimodal Time-Series Large Models • Industrial Big Data Analysis
Student Team
Laboratory Members
Gathering excellent talents to jointly explore cutting-edge technologies in industrial artificial intelligence
PhD Students
Jianyu Zhang
PhD Student
Specializes in industrial artificial intelligence algorithm research, dedicated to developing intelligent predictive maintenance systems for manufacturing. Has extensive experience in multimodal time-series data analysis.
Fanyu Qi
PhD Student
Research focuses on data fusion and decision optimization in smart manufacturing systems. Possesses deep theoretical foundation in machine learning and strong engineering practice capabilities.
Yizhang Zhu
PhD Student
Specializes in computer vision applications in industrial inspection. Proficient in deep learning frameworks with extensive image processing experience.
Master Students
Peng Gao
Master Student
Research focuses on industrial IoT system architecture design and optimization, specializing in edge computing and real-time data processing technologies.
Undergraduate Students (Mechanical Engineering)
Training System
Comprehensive Talent Development
Building a complete graduate training system with emphasis on industry-academia-research integration
Admission Majors: Mechanical, Electrical, Computer, Automation. Research Areas: Industrial AI, Smart Manufacturing, Predictive Maintenance. Training Features: Industry-academia-research integration, enterprise internship opportunities.
Academic Master: Focus on theoretical research and algorithm innovation. Professional Master: Focus on engineering practice and technology application. Training Goal: High-level applied talents.
Innovation Projects: Guidance for college student innovation and entrepreneurship projects. Graduation Design: One-on-one guidance for high-quality completion. Internship Practice: Providing enterprise internship opportunities.
Join Our
Research Team
Welcome excellent students interested in industrial artificial intelligence and advanced manufacturing research to join us!Let's jointly explore technological frontiers and promote industrial innovation and development.