关于大学生自我介绍英文版

在求学的道路上，写作文往往是一件令人头大的事，经常不知道怎么写，但必须清醒认识到：拥有好的文笔，绝对是受益一生的硬实力。而写作能力的提升，必须从小培养，对于这篇作文题目，建议多看《关于大学生自我介绍英文版》相关范文，多动笔练习《关于大学生自我介绍英文版》相关习作，相信功夫不负有心人。本文由作文汇用户投稿，希望为你的写作带来帮助，如果觉得这篇关于大学生自我介绍英文版作文1500字不错，记得推荐给同学哦～

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.

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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