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2017考研英语复试通关宝典(九)

来源:华课网校  [2017年3月28日]  【

  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.

  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.

责编:18874849045

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