Hello! I'm Tong
I'm a PhD student in the Industrial Engineering department, Clemson University. My research interests lie in the area of operations research and applications. I am interested in stochastic processes and optimization problems. I am currently working on my Ph.D. and studying the application of operations research and optimization to engineering.
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Tong Zhang
Ph.D Student
Department of Industrial Engineering
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Email:
Address:
278 Freeman Hall
Clemson, SC 29634-0901
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EDUCATION
2019-
Ph.D Student
Clemson University
Ph.D student, Industrial Engineering
College of Engineering, Computing and Applied Science
2017-2019
Master's Degree
Northeastern University
Master of Science, Data Analytics Engineering
College of Engineering
2013-2017
Bachelor's Degree
Chongqing University
Bachelor of Science, Statistics (Finance and Actuarial Science)
​College of Mathematics and Statistics
EXPERIENCE
July. 2018-Aug. 2018
Research and Modeling Intern
China Unicom Software Research Institute
In the study of capacity planning issues, built mathematical model of multiple variables and test hypotheses.
Got an optimal model enabling the capacity planning research to move to the next stage successfully.
Jan. 2015
Market Research and Analysis Intern
Xinquancheng Real Estate Co. Ltd.,
Conducted investigation in store brand popularity by observing and counting number of patrons within a 15-minute period. Collected information on cost of goods at each store at six shopping plazas, 278 stores.
Recorded findings in Excel and conducted analysis to identify high potential stores for a new shopping center.
SKILLS
Language:
Matlab, R, Lingo, SQL, Python
Software:
SAS, SPSS, RStudio, Minitab, Access, Tableau, Microsoft SQL Server, Arena
PROJECTS
Bluebike Bike Sharing System Optimization, Northeastern University
Used Bluebike's real data to research the rebalance problem in bike sharing system.
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Based on Metaheuristics, such as Genetic Algorithm, established objective functions and constraints to determine the optimal route for Bluebike company to minimize transportation cost.