2021 International Conference on Intelligent Manufacturing and Industrial Automation
Prof. Jihong Yan



Dr. Jihong Yan is a Professor (since 2005) in Industrial Engineering at Harbin Institute of Technology (HIT), she is also the deputy dean of the School of Mechatronics Engineering and head of the intelligent manufacturing scientific research team at HIT. She received her PhD from Harbin Institute of Technology in 1999. Then she joined Tsinghua University (from 1999 to 2001), the University of Wisconsin (from 2001 to 2004) and Pennsylvania State University (from 2004 to 2005) as a postdoctoral researcher. Dr. Yan is the director of National High-end Equipment Manufacturing Virtual and Simulation Experiment Teaching Center, head of Research Oriented Teaching Innovation Team for High-end Equipment Manufacturing of the Ministry of Industry and Information Technology of China, vice chairman of Production System Special Committee of Chinese Mechanical Engineering Society, and chairman of Industrial Engineering Professional Committee of the Mechanical Engineering Society of Heilongjiang Province.

As a PI, Dr. Yan has worked on and accomplished 15 projects in intelligent manufacturing and sustainability related areas, funded by the NSF of China (NSFC), NSF-NSFC joint-project funding, National key R&D plan project funding, National High-tech project funding, National “863” project funding, EU EPSRC project funding, High-tech funding from industries, and so on. She has authored and co-authored over 100 research papers and published 3 books, two papers were ranked ESI high cited articles.

Speech title:

Big data driven human-machine-material collaborative manufacturing  in intelligent workshop


Intelligent manufacturing has attracted intense attention due to the broad application of big data, artificial intelligence and information technology in manufacturing industry. In 2013, Germany proposed Industry 4.0 which fosters the concept of "smart factory". Within modular structured smart factories, cyber-physical systems (CPS) which monitor physical processes, create a real-time virtual copy of the physical world and make decentralized decisions play an essential role during the innovation. Over the big data and Internet of Things, cyber-physical systems communicate and cooperate with each other and with humans both internally and across organizational services offered and used by participants of the value chain. The challenges and opportunities brought by big data in workshop and current research work on CPS in the aspect of human, industrial robots, machine tools, materials and so on done by Dr. Yan’s team are given in this talk.