Date   of Birth

1979.11

Professional   Title

Professor

E-mail

seasimen@aliyun.com

Research   Fields

Intelligent Manufacturing,   Intelligent Logistics, System Modeling & Optimization

Personal   Profile

Wu Bin, Doctor of   Engineering, Professor, Master Tutor, Visiting Scholar of the University of   Vienna, Deputy Dean of Nanjing Tech University School of Economics &   Management. Professor Wu has presided over and participated in more than 20   scientific research projects such as general projects of the National Social   Science Foundation of China, subprojects of the National Key Research &   Development Projects and subjects of the National Natural Science Foundation   of China. He has published more than 50 academic papers in well-known   journals at home and abroad, which were included by SCI and EI for more than   20 times, with more than 200 SCI citations, as well as 1 academic monograph,   obtained 2 software copyrights and 1 authorized invention patent, and has   been a long-term reviewer of well-known journals domestically and   internationally. Professor Wu is responsible for guiding students' graduation   projects which have been awarded the first prize(2010), the second prize   (2016) and the Outstanding Team Award (2013) of Jiangsu Excellent   Undergraduate Graduation Design. In addition, 3 textbooks and 5 teaching   reform papers have been published.

Representative   Research Projects / Works / Papers

Research   projects:

1. General Project of the   National Social Science Foundation of China: Research on Mechanism of the   Toughness Measurement and Improvement of Artificial Intelligence Industry Chain in China (20BGL025). Project   Leader.

2.General Project of   Social Science Foundation of Jiangsu Province: Research on Pricing Strategy   of Crowd-sourcing Logistics Platform Based on Bilateral Market Theory   (18GLD005). Project Leader.

3.National High-end   Foreign Expert Project: Study on Generation Reserve Requirements in China   (GDW20153200151). Project Leader.

Representative   monographs and papers:

1. Tripartite   Evolutionary Game Analysis for “Deceive Acquaintances" Behavior of   E-commerce Platforms in Cooperative Supervision Physica A-Statistical Mechanics and Its Applications，2020,550.   JCR Q2

2. Knowledge and   Behavior-Driven Fruit Fly Optimization Algorithm for Field Service Scheduling   Problem with Customer Satisfaction Complexity，2021，8571524，1-14.JCR   Q2

3. Evolutionary   Multilabel Classification Algorithm Based on Cultural Algorithm，Symmetry   2021, 13(2),322. SCI

4.Evolutionary   Game Analysis of the Phenomenon of Deceiving Acquaintances in E-commerce   Platform from the Perspective of Mental Account. Operations Research and   Management Science. 2020. 29 (11). 37-44.