【演讲稿】英语自我介绍演讲稿范文.docx

第 1 页 英语自我介绍演讲稿范文1 特征码 JblqZohrgxZWhpHwyCoz 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 chinas 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 第 2 页 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（转载自 http:/，请保留此标记。 ） 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 mercial 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 第 3 页 network), supply chain network research, hybrid system performance analysis wi ith petri nets and data mining.