Title
Associate Professor
√ Master Guide
Colleges and Majors
School of Machinery and Vehicles
Office Address
Beijing University of Technology No. 1 Teaching Building 243-1
Zip Code
100081
By mail
gonglin@bit.edu.cn

I. Teaching Materials and monographs
1. Gong Lin, Yan Yan and Xue Qing, Course on Applied Statistical Data Processing and Synthesis, Beijing Institute of Technology Press, 2014.09, Textbook for the 12th Five-Year Plan of the Ministry of Industry and Information Technology
2. Gong Lin Chengqiang, Big Data Management and Analysis Technology for Complex System Design, Jilin University Press, tentatively published 2020.12.
2. Latest Research Papers
1. Lin Gong, Zhenchong Mo, Shangnan Zhao, Yong Song. An improved Kernelized Correlation Filter tracking algorithm based on multi-channel memory model. SIGNAL PROCESSING-IMAGE COMMUNICATION, 2019.10(78):200-205.(SCI)
2. Fu Jie, Gong Lin, Wu Qianru, Shi Xuezhi, Lu Jiping. Microstructure and Mechanical Properties of Ti-6AI-4V Fabricated by Vertical Wire Feeding with Axisymmetric Multi-Laser Source. APPLIED SCIENCES -- BASEL, 2017.7(3):11.(SCI)
3. Zhang Zijian, Gong Lin, Jin Yan, Xie Jian, Hao Jia. A quantitative approach to design alternative evaluation based on data-driven performance prediction. Advanced Engineering Informatics, 2017(32):52-65.(SCI)
4. Jia Hao, Yan Yan, Guoxin Wang, Lin Gong, Bo Zhao. A Probability-Based Hybrid User Model for Recommendation System, Mathematical Problems in Engineering, 2016(4):1-10.(EI)
5. Gong Lin, ZHANG Zijian, Xie Jian, Yan Yan. Research on product conceptual design method integrating design process and design knowledge. Computer Integrated Manufacturing Systems, 2016.1.(EI)
6. Yan Yan, Hao Jia, Wang Guoxin, Gong Lin, Zhao Bo. Multi-action-based approach for constructing knowledge map. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2015, 24 (7) : 335-340. (EI) < br > 7. Qing Xue, Lin Gong. The Design and Implementation of Effective Teaching Based on Human Factors Engineering. AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences, 2020.7(EI) 8. Xi Chen, Lin Gong, Fang Liu, Jinyi Wang, Ya Tang. A Product Concept Generation and Evaluation Method Based on Knowledge. 2019 IEEE 6th ICIEA., 2019.04(EI)
9. G. Lin, J. Gao, J.Y. Wang, Z.C. Mo. Study on Unbalanced Binary Classification with Unknown Misclassification Costs. 2018.12(EI)
10. Liu Zhuang, Gong Lin. Study on Big Data Framework for Product Design. Liu Zhuang, Gong Lin. 2018 International Conference on Data Mining and Big Data. 2018.7(EI)
11. Lin Gong, Sheng Tang, Jian Xie, Xi Chen. Construction and Evolution Analysis of A Technology Network for Product Innovative Design. THE 12th IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS. 2017.6(EI)
12. Sheng Tang, Lin Gong, Jian Xie, Yang Liu. A Competitiveness Evaluation Method of Product Based on Technology Maturity and Development Trend. THE 12th IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS. 2017.6(EI)
13. Xie Jian, Gong Lin, Zhang Zijian, Yan Yan, Tang Sheng. Innovation oriented hyper model and evolution of knowledge network. 5th International Conference on Network, Communication and Computing. 2016.11:115-119.(EI)
14. Lin Gong, Jian Xie, Feixiong Yan, Zijian Zhang. The Effects of Team Cognitive on Creative Design- Improving the Creativity and Quality of Product. ICIEA 2015. 2015.6(EI)
3. Representative Research Projects
1. National Key R&D Plan, Research and development of crowdsourcing platform supporting personalized design (2018YFB1700800), 2019-2022, Project Leader
2. Major National Defense Basic scientific research projects, XXXX design and evaluation platform based on big data (JCKY2016203A017), 2017-2020, Head of sub-cheng Research 3. National Natural Science Foundation of China, Research on Theory and Method of Technology-Driven Product Innovation Conceptual Design Based on Complex Networks (51405018), 2015-2017, Project Leader 4. National Defense Technology Foundation Project, Development of knowledge engineering series standards for Weapons and Equipment Development (JSJC2013208C001), 2014, Director of Sub-cheng Research 5. National Defense Basic Scientific Research Project, Dynamics Optimization Technology based on Data Fusion XXXXXX, 2017-2021, Participation.
6. National Defense Basic scientific research project, supporting the knowledge management and service technology of XXXX cross-regional and multi-disciplinary collaborative design (JCKY2016602B007), 2016-2018, participated in
7. National Natural Science Foundation of China, Research on Theory and Method of Innovative Design Based on Abstract Knowledge (51505032), 2016-2018, Participation

Personal Profile:
Gong Lin, male, born in 1979, Member of the Communist Party of China, Doctor, associate professor, Deputy Dean of the School of Machinery and Vehicles, Beijing Institute of Technology. He received his bachelor's degree in Mechanical Engineering and Automation from Beijing Institute of Technology in 2001. In March 2006, he received his doctorate degree in Mechanical manufacturing and automation from Beijing Institute of Technology. In March 2006, he stayed to teach in Beijing Institute of Technology. In June 2016, he was appointed vice president of the School of Machinery and Vehicles. From 2009 to 2011, he held a temporary post in the General Office of the Ministry of Industry and Information Technology. He was a visiting scholar at the University of Southern California from 2013 to 2014.
His main research areas include complex system innovation design, big data analysis, knowledge engineering, statistical optimization, etc. The main teaching directions include system innovation theory and method, engineering management (all in English), applied statistics, etc. As the person in charge, he presided over more than 10 projects of the National Natural Science Foundation of China, national key research and development projects, major projects of the National Defense Science and Industry Administration, technical foundation projects of the National Defense Science and Industry Administration, projects of the Beijing Municipal Education Commission, and horizontal projects. Participated in the National Natural Science Foundation projects, basic scientific research projects of the State Administration of Science and Industry for National Defense, more than 10 horizontal projects, etc. Write a textbook as the first author. As the first inventor, he was granted 3 patents. Editor-in-chief of two industry standards. He has published more than 40 papers in domestic and foreign journals and international conferences, including more than 30 papers indexed by SCI/EI. Won the third prize of National defense science and technology progress 1. Selected into the Beijing University Young Talents Program. He has served as Keynote Chair and Session Chair at several international conferences and is currently a Council member of the Industrial Engineering and Management Research Institute of the Institute of Management Science and Engineering.
Research direction: The main research fields are complex system innovation design, big data analysis, knowledge engineering, statistical optimization, etc., including the following three directions: (1) Computational intelligent design: Characterizes, analyzes, mines and evaluates a large amount of data generated in the process of complex product design, such as requirements, functions, behaviors and structures, to support design recommendation, evaluation and optimization, and realize intelligent design.
(2) Innovative design based on graph/network theory: Aiming at the universality of correlation among complex product design elements, an innovative design method based on knowledge graph and network theory is proposed, taking demand, product and patent as research objects.
(3) New models of design and intelligent manufacturing: It mainly focuses on the research of models, theories, methods and applications of new models and cutting-edge technologies emerging in the field of design and manufacturing, such as crowdsourcing design, smart factory, additive manufacturing, etc.
Recruitment direction: Students with industrial engineering/Mechanical engineering/statistics/computer/software and other related background are welcome to apply for postgraduate study.

Personal Profile:
Gong Lin, male, born in 1979, Member of the Communist Party of China, Doctor, associate professor, Deputy Dean of the School of Machinery and Vehicles, Beijing Institute of Technology. He received his bachelor's degree in Mechanical Engineering and Automation from Beijing Institute of Technology in 2001. In March 2006, he received his doctorate degree in Mechanical manufacturing and automation from Beijing Institute of Technology. In March 2006, he stayed to teach in Beijing Institute of Technology. In June 2016, he was appointed vice president of the School of Machinery and Vehicles. From 2009 to 2011, he held a temporary post in the General Office of the Ministry of Industry and Information Technology. He was a visiting scholar at the University of Southern California from 2013 to 2014.
His main research areas include complex system innovation design, big data analysis, knowledge engineering, statistical optimization, etc. The main teaching directions include system innovation theory and method, engineering management (all in English), applied statistics, etc. As the person in charge, he presided over more than 10 projects of the National Natural Science Foundation of China, national key research and development projects, major projects of the National Defense Science and Industry Administration, technical foundation projects of the National Defense Science and Industry Administration, projects of the Beijing Municipal Education Commission, and horizontal projects. Participated in the National Natural Science Foundation projects, basic scientific research projects of the State Administration of Science and Industry for National Defense, more than 10 horizontal projects, etc. Write a textbook as the first author. As the first inventor, he was granted 3 patents. Editor-in-chief of two industry standards. He has published more than 40 papers in domestic and foreign journals and international conferences, including more than 30 papers indexed by SCI/EI. Won the third prize of National defense science and technology progress 1. Selected into the Beijing University Young Talents Program. He has served as Keynote Chair and Session Chair at several international conferences and is currently a Council member of the Industrial Engineering and Management Research Institute of the Institute of Management Science and Engineering.
Research direction: The main research fields are complex system innovation design, big data analysis, knowledge engineering, statistical optimization, etc., including the following three directions: (1) Computational intelligent design: Characterizes, analyzes, mines and evaluates a large amount of data generated in the process of complex product design, such as requirements, functions, behaviors and structures, to support design recommendation, evaluation and optimization, and realize intelligent design.
(2) Innovative design based on graph/network theory: Aiming at the universality of correlation among complex product design elements, an innovative design method based on knowledge graph and network theory is proposed, taking demand, product and patent as research objects.
(3) New models of design and intelligent manufacturing: It mainly focuses on the research of models, theories, methods and applications of new models and cutting-edge technologies emerging in the field of design and manufacturing, such as crowdsourcing design, smart factory, additive manufacturing, etc.
Recruitment direction: Students with industrial engineering/Mechanical engineering/statistics/computer/software and other related background are welcome to apply for postgraduate study.

Director, Industrial Engineering and Management Research Institute, Institute of Management Science and Engineering