英語自我介紹作文

英語自我介紹作文

　　當(dāng)來到的一個陌生的地方時，我們有必要對自己進(jìn)行適當(dāng)?shù)慕榻B，自我介紹有助于自我宣傳、自我展示。相信大家又在為寫自我介紹犯愁了吧！下面是小編精心整理的英語自我介紹作文，僅供參考，希望能夠幫助到大家。

　　I am a third year master major in automation at Shanghai Jiao TongUniversity, P. R. China. With tremendous interest in Industrial Engineering, Iam 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. Duringthe following undergraduate study, my academic records kept distinguished amongthe whole department. I was granted First Class Prize every semester,In 1999, Igot the privilege to enter the graduate program waived of the admissiontest.

　　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 isgiven to talented and matured students only. This year, I won the AcerScholarship as the one and only candidate in my department, which is theultimate accolade for distinguished students endowed by my ently, I am preparing my graduation thesis and trying for the honor ofExcellent Graduation Thesis.

　　Research experience and academic activity

　　When a sophomore, I joined the Association of AI Enthusiast and began tonarrow down my interest for my future research. With the tool of OpenGL andMatlab, I designed a simulation program for transportation scheduling system. Itis now widely used by different research groups in NUST. I assumed and fulfilleda sewage analysis & dispose project for Nanjing sewage treatment plant. Thiswas 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 andexperience, which has prepared me for the Ph.D. program. My future researchinterests include: Network Scheduling Problem, Heuristic Algorithm research(especially in GA and Neural network), Supply chain network research, Hybridsystem performance analysis with Petri nets and Data Mining.

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