亲爱的客户朋友您好！您正在浏览的文章《自我介绍的英语演讲稿》是由我站编辑人员为您搜集整理，以下一半文章为范文，仅供您参考，如需原创写作服务请与我们业务经理联系：13220535006 王老师 在线客服QQ：316327876 专家为您原创，您放心选择！演讲网。 general introductioni 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 backgroundin 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 activitywhen 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 diffferent 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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