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自動(dòng)化專業(yè)英文自我介紹

時(shí)間:2021-04-04 15:10:49 求職信范文 我要投稿

自動(dòng)化專業(yè)英文自我介紹

General Introduction

  I Am A Third Year Master Major In Automation At Shanghai Jiao Tong University, p. R. China. With Tremendous Interest In Industrial Engineering, I Am Writing To Apply For Acceptance Into Your Ph.D. Graduate Program.

自動(dòng)化專業(yè)英文自我介紹

  Education Background

  In 1995, I Entered The Nanjing University Of Science&Technology (NUST)- - Widely Considered One Of The China ' S Best Engineering Schools. During The Following Undergraduate Study, my Academic Records Kept Distinguished Among The Whole Department. I Was Granted First Class Prize Every Semester, in 1999, I Got The Privilege To Enter The Graduate Program Waived Of The Admission Test.

  At The Period Of My Graduate Study, my Overall GPA(3.77/4.0) Ranked Top 5% In The Department. In The Second Semester, I Became Teacher Assistant That Is Given To Talented And Matured Students Only. This Year, I Won The Acer Scholarship As The One And Only Candidate In My Department, which Is The Ultimate Accolade For Distinguished Students Endowed By My University. Presently, I Am Preparing My Graduation Thesis And Trying For The Honor Of Excellent Graduation Thesis.

  Research EXPerience And Academic Activity

  When A Sophomore, I Joined The Association Of AI Enthusiast And Began To Narrow Down My Interest For My Future Research. With The Tool Of OpenGL And Matlab, I Designed A Simulation Program For Transportation Scheduling System. It Is Now Widely Used By Different Research Groups In NUST. I Assumed And Fulfilled A Sewage Analysis&Dispose Project For Nanjing Sewage Treatment Plant. This Was My First Practice To Convert A Laboratory Idea To A Commercial Product.

  In Retrospect, I Find Myself Standing On A Solid Basis In Both Theory And EXPerience, which Has Prepared Me For The Ph.D. Program. My Future Research Interests Include: Network Scheduling Problem, heuristic Algorithm Research (especially In GA And Neural Network) , supply Chain Network Research, hybrid System Performance Analysis With Petri Nets And Data Mining.


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