Topic: Data Analytics and Optimization for Smart Industry

Speaker: Prof. Lixin Tang

Guest MC: Prof. Shiping Zhu

Date: December 4, 2024 (Wednesday)

Time: 10:30 a.m. - 11:30 a.m.

Venue: Conference Complex II 401

Language: Chinese

Abstract: 

Data analytics is the frontier basic research direction of industrial intelligence and one of the driving forces to promote scientific development. Systems optimization is the core basic theory of decision-making in smart industry, as well as the heart and engine of data analytics.

This talk will discuss some systems modeling methods, data analytics and optimization solution methods that we have been working on, and their applications in production management, quality control and optimization, as well as environmental and energy optimization.

First, a MCIS enterprise-wide production management system is constructed, in which the circulation of production, logistics and energy across different manufacturing departments within an industrial enterprise are investigated. Second, a hierarchical quality technology system (PDDE) is constructed. The PDDE system consists of four levels, including quality perception, quality discovery, product quality design, process design and optimization. Finally, MCIS eco-system analytics and optimization is discussed, which focuses on the systematic optimization and mechanism design for high emission enterprises, concerning on the perception of carbon footprint, analytics of carbon emission patterns, process optimization carbon reduction, as well as carbon capture and utilization.

Speaker Profile:

Professor Lixin Tang is a Member of the Chinese Academy of Engineering, an IEEE Fellow, the Vice President of Northeastern University (responsible for scientific planning and international collaboration), and a Deputy to the 14th National People's Congress of China. At Northeastern University, he also serves as the Director of the State Key Discipline in Control Science and Engineering (Automation), the Dean of the Institute for Artificial Intelligence and Big Data, the Director of the Ministry of Education Key Laboratory of Data Analytics and Optimization for Smart Industry, and the Director and Chair Professor of the National Frontier Science Center for Industrial Intelligence and Systems Optimization.

Professor Tang is a member of the Discipline Review Group of the State Council for Control Science and Engineering, the Deputy Director of the Artificial Intelligence Special Committee under the Science and Technology Commission of the Ministry of Education, the Deputy Leader of the Expert Group of the Industrial Internet Strategy Committee under the Ministry of Industry and Information Technology, and a member of the Strategic Advisory Committee on Industrial Internet. Furthermore, he holds leadership roles as the Vice President of the Chinese Society for Metals and the Operations Research Society of China (ORSC), the Founding Director of the Data Analytics and Optimization Society for Smart Industry under ORSC, a member of the Advisory Board of the Department of Automation at Tsinghua University, and a member of the Technical Committee of the National Engineering Laboratory for Big Data Analysis and Applications at Peking University. In 2017, he was awarded the National May 1st Labor Medal.

His research focuses on industrial intelligence and systems optimization. His theoretical contributions include industrial big data science, data analytics and machine learning, deep learning and evolutionary learning, reinforcement learning and dynamic optimization, convex and sparse optimization, and combinatorial optimization. In terms of applications, his work primarily addresses systems optimization technologies for plant-wide production and inventory planning, production and logistics batching and scheduling, process optimization and optimal control; quality analytics techniques such as process monitoring, equipment diagnosis, and product quality perception; and industrial intelligence technologies such as image and speech understanding and visualization. These theories and technologies are applied to engineering domains, including the steel manufacturing industry, equipment/chip manufacturing industry, energy industry, logistics industry, and information industry.

He is an active contributor to the international academic community, serving as the Associate Editor or Editorial Board Member for six leading journals in industrial intelligence and systems optimization, including IISE Transactions, IEEE Transactions on Cybernetics, Journal of Scheduling, and International Journal of Production Research. He is also the Area Editor for the Asia-Pacific Journal of Operational Research and an Editorial Board Member for the Annals of Operations Research. His publications have appeared in top-tier journals, including flagship outlets such as IISE Transactions.