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MEIE-IIBDT’25

Industrial Intelligence and Big Data Technology

As a cutting-edge field closely integrating big data technology, next-generation artificial intelligence technology, and advanced industrial technologies, industrial intelligence and big data technologies enable industrial systems to autonomously “sense-analyze-decide-execute.” Through continuous learning from vast amounts of data about the complex evolution patterns and knowledge experiences of these systems, they equip industrial systems with the capabilities of self-learning, self-optimization, self-decision-making, and self-regulation. With the evolution of research paradigms in data science, the foundational theories, methods, and pathways for industrial system intelligence are undergoing profound changes. Industrial intelligence and big data have gradually become current research hotspots, resulting in a series of research outcomes. This seminar focuses on the application of artificial intelligence, big data, and industrial internet technologies in industrial practice, aiming to provide professional references for scientific research and enterprise production practices, promote the deep transformation of manufacturing from automation to autonomy, and facilitate sharing, communication, and cooperation between scholars and enterprises.

Topics include but are not limited to:

Industrial Internet of Things
Robotics
Intelligent Manufacturing
Sensing and Recognition Technologies
Big Data Analytics Autonomous Decision-Making and Control Technology
Co-Operation and Collaboration Technology
Cloud Computing
Sensor Technology

Convener

Tangbin Xia
Professor and Vice Dean of the School of Mechanical Engineering, Shanghai Jiao Tong University, China. Young Chang Jiang Scholar of the Ministry of Education.

Biography: Tangbin Xia, Professor and Vice Dean of the School of Mechanical Engineering, Shanghai Jiao Tong University, China. Young Chang Jiang Scholar of the Ministry of Education. Deputy Secretary General of The Shanghai Society for Modern Design Theory and Methodology Research, The Review Expert for the Government Quality Award of Shanghai Municipality. Member of the Youth Work Committee of the Chinese Society of Management Science and Engineering, Member of the Industrial Big Data and Intelligent Systems Branch of the Chinese Society of Mechanical Engineering, and Member of the Management Technology Branch of the Innovation Methods Research Association.

Research Interests: Intelligent Manufacturing System, Quality and Reliability, Big Data and Artificial Intelligence

Session Chairs

Liang Yang
Hunan University, China

Biography: Liang Yang, Professor and Doctoral Supervisor of Hunan University. He received the Ph.D. degree in electrical engineering from Sun Yat-sen University, Guangzhou, China, in 2006.
His current research interest includes the performance analysis of wireless communication systems. He has published more than 110 papers in IEEE journals, such as IEEE-JSAC, IEEE-TCOM, IEEE-TVT, IEEE-TWC, IEEE-TIFS, etc., and his H-index in Google and ResearchGate is 40, He has been selected as one of the top 2% top scientists by Stanford for 4 consecutive years, and one of the “Highly Cited Scholars in China” by Elsevier in 2023. He has presided over 5 projects of National Natural Science Foundation of China (NSFC), 1 project of National Key Research and Development Program of China (NKRDP), and participated in 1 key project of Regional Innovation Development Joint Fund of NSFC (project leader). He also serves as editorial board member of several international journals.

Shaohua Luo
Guizhou University

Biography: Shaohua Luo, Professor of Mechanical Engineering College of Guizhou University, tutor of doctoral students and tutor of master students, outstanding young scientific and technological talents of Guizhou Province, leader of key projects of ESI potential discipline promotion plan of Guizhou University, distinguished expert of "Enterprise Innovation Post" of Guizhou University, and academic leader of Guizhou University. In recent years, he has presided over the research projects of National Natural Science Foundation, Provincial Natural Science Foundation and China Postdoctoral Science Foundation, and participated in the research work of National "863 Plan" and National Natural Science Foundation. He has made some theoretical and applied achievements in key scientific technologies such as intelligent manufacturing, autonomous intelligent systems, high-performance electromechanical drive systems and equipment, published more than 50 scientific research papers in authoritative academic journals at home and abroad, authorized more than 20 invention patents (including 1 American invention patent and 3 British invention patents), transformed 2 patents, won the second prize of Excellence Fund, and has more than 4 years of experience as a state-owned enterprise and foreign-funded engineer.

Yaping Li
Associate Professor, Director of the Department of Management Science and Engineering, School of Economics and Management, Nanjing Forestry University, China. Outstanding young backbone teacher of “Blue Project” in Jiangsu Province.

Biography: Yaping Li is currently an associate professor in the College of Economics and Management, Nanjing Forestry University. Dr. Li received her Ph.D. degree in Management Science and Engineering from Nanjing University of Aeronautics and Astronautics in 2015. Then, she worked as a post doctor in Mechanical Engineering at Shanghai Jiao Tong University. Her research includes quality and reliability modeling. She has published more than 40 papers in various journals. She has chaired many projects such as National Natural Science Foundation of China, Qing Lan Project of Jiangsu Province in China, China Postdoctoral Science Foundation and so on.

Speakers

Xinchang Wang
Tenure Associate Professor, School of Mechanical Engineering, Shanghai Jiao Tong University, Teaching Director of the Mechanical Engineering Major

Biography: Xinchang Wang, PhD from School of Mechanical Engineering, Shanghai Jiao Tong University, postdoctoral fellow at Shanghai Jiao Tong University/UC Berkeley. He is mainly engaged in researches related to advanced manufacturing and surface engineering (synthesis and precision processing of diamonds, including the mechanism, technique, and equipment). He has been responsible for projects funded by the National Natural Science Foundation of China, Shanghai Natural Science Foundation, and Innovation Special Zone of the Ministry of National Defense. He has been selected as a member of the Shanghai Pujiang Talent Program. He has published over 40 papers in SCI journals, as first or corresponding author, and has obtained five national invention patents. He has received teaching awards such as the Second Prize of National-level Teaching Achievement and the First Prize of National Undergraduate Teaching Competition.

Yaping Li
Associate Professor, Director of the Department of Management Science and Engineering, School of Economics and Management, Nanjing Forestry University, China. Outstanding young backbone teacher of “Blue Project” in Jiangsu Province

Biography: Yaping Li is currently an associate professor in the College of Economics and Management, Nanjing Forestry University. Dr. Li received her Ph.D. degree in Management Science and Engineering from Nanjing University of Aeronautics and Astronautics in 2015. Then, she worked as a post doctor in Mechanical Engineering at Shanghai Jiao Tong University. Her research includes quality and reliability modeling. She has published more than 40 papers in various journals. She has chaired many projects such as National Natural Science Foundation of China, Qing Lan Project of Jiangsu Province in China, China Postdoctoral Science Foundation and so on.

Ying Zhu
Assistant Professor, School of Aeronautics and Astronautics, Shanghai Jiao Tong University. Visiting Researcher, Lancaster University, UK. Assistant Researcher, Chinese Institute for Quality Research

Biography: Ying Zhu received her Ph.D. from Shanghai Jiao Tong University, where she continued as a postdoctoral fellow and was selected for the 2023 Shanghai Super Postdoctoral Program. During her postdoctoral research, she was also a visiting scholar at Lancaster University, UK. Her research focuses on aviation maintenance decision-making and spare parts inventory management. She has led projects funded by the National Natural Science Foundation of China, the Special Fund of China Postdoctoral Science Foundation, and the Shanghai Technical Trade Response Measures Special Program. She has also participated in the National Key Research and Development Program of China, Shanghai Science & Technology Innovation Center for System Engineering of Commercial Aircraft, and strategic consulting projects of the Chinese Academy of Engineering. She has published over 10 SCI papers in international journals, such as Reliability Engineering & System Safety, IEEE Transactions on Reliability, and Computers & Industrial Engineering.

Yuhui Xu
School of Mechanical Engineering, Shanghai Jiao Tong University

Biography: Yuhui Xu is a Ph.D. candidate at the School of Mechanical Engineering, Shanghai Jiao Tong University. His research focuses on equipment fault diagnosis and health management based on industrial big data. He has published three papers as the first author in journals such as Reliability Engineering & System Safety and has filed four invention patents. He serves as a reviewer for journals including Mechanical Systems and Signal Processing, Measurement, and so on. He was selected for the Young Elite Scientists Sponsorship Program – Doctoral Student Special Project by the China Association for Science and Technology.

Yu Wang
Department of Industrial Engineering and Management, Shanghai Jiao Tong University

Biography: Yu Wang is a Ph.D. candidate at the Department of Industrial Engineering and Management, Shanghai Jiao Tong University. Her research interests include intelligent maintenance, production scheduling optimization, and intelligent algorithms. She has published two papers as the first author in journals such as International Journal of Production Economics and Reliability Engineering & System Safety, and has applied for three invention patents. She also serves as a reviewer for journals including Reliability Engineering & System Safety and International Journal of Production Research.

Yujun Zhou
School of Mechanical Engineering, Shanghai Jiao Tong University

Biography: Yujun Zhou is a Ph.D. candidate at the School of Mechanical Engineering, Shanghai Jiao Tong University. His research focuses on mechanical equipment condition monitoring and health management based on industrial big data. He participated in the national key research and development program "National Quality Infrastructure System" special key project, FAW Jiefang (Qingdao) Automobile Company paint shop intelligent control and energy consumption optimization project, Jiayang Intelligent Safety Technology Company petrochemical production key equipment health status intelligent monitoring project.

Linlong Qi
Fraunhofer Innovation Platform for Smart Manufacturing at Shanghai Jiao Tong University

Biography: Qi Linlong, Master candidate, School of Mechanical Engineering, Fraunhofer Innovation Platform for Smart Manufacturing at Shanghai Jiao Tong University. His research interests include intelligent ship systems and ship dispatching in the field of digital twins. Participated in the national key research and development program "National Quality Infrastructure System" special key project, Qingluan Fuxing Industrial Technology Group cooperation project.

Fang Wang
Shanghai Institute of Microsystem and Information Technology

Biography: Fang Wang, Ph.D. Candidate, State Key Laboratory Transducer Technology, Shanghai Institute of Microsystems and Information Technology, Chinese Academy of Sciences. His research interests focus on artificial intelligence algorithm and control decision-making systems for smart manufacturing and smart sensors. He has published more than 10 SCI/EI papers in IEEE Sensors Journal, IEEE MEMS, TRANSDUCERS, IEEE EMBC and other journals and international conferences. He has participated in major projects of the Ministry of Science and Technology of China, key research and development projects, and projects of the University of Pennsylvania on Al chips and brain-computer interfaces, etc. He has been invited as a reviewer for SCI/EI journals, such as Computers and Electrical Engineering, ICIEIS 2024, MEAAC 2023, etc. He was awarded the 2023 Scholarship for Director of Chinese Academy of Sciences, IEEE EMBC 2024 NextGen Scholar Award, and 2024 China Computer Federation (CCF) YEF Doctoral Academic Award.

MEIE 2025

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