英语自我介绍演讲稿模板.pdf

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1、第 1 页 共 3 页英语自我介绍演讲稿模板本文是为大家整理的关于英语自我介绍演讲稿模板的文章，希望大家能够喜欢！英语自我介绍演讲稿模板 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 prog

2、ram. Education background In 1995, I entered the Nanjing University of Science & Technology (NUST) - widely considered one of the Chinas best engineering schools. During the following undergraduate study, my academic records kept distinguished among the whole department. I was granted First Class Pr

3、ize 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 第 2 页 共 3 页talented and mature

4、d 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

5、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 resea

6、rch 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 第 3 页 共 3 页in GA and Neural network), Supply chain network research, Hybrid system performance analysis with Petri nets and Data Mining.