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.