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英文自我介紹

時間:2025-01-02 15:35:23 自我介紹 我要投稿

【推薦】英文自我介紹三篇

  當到達一個陌生的環境后,需要我們進行自我介紹,自我介紹是我們重新認識自己的開始。那么你真的會寫自我介紹嗎?以下是小編幫大家整理的英文自我介紹3篇,僅供參考,大家一起來看看吧。

【推薦】英文自我介紹三篇

英文自我介紹 篇1

  Good morning everyone,my name is XX,and my english name is XX. Iam 21 years old and iam from (qingdao/XX) .

  I have very happy family, they were my mother,my father and i. my father is soldier and my mother is doctor .i love them verymuch,we leave very luckly everyday!

  I have some interests, four example: play piano singsong ang swimming.I have lend so much from them. when i was young, i haved a dream, i was dreaming flying in the sky, so ,i long to work in the plain. then, iam here,i weash you would take me, because iam looking four would, to working four(china easten airlines),nice meeting you again.

  thank you !

  hello my name isxxx.i am xx years old.i graduatedfrom xxx.i have a dream since i was a child.i dream that one day i can fly in the blue sky like the bird. now i have the chance to make it come true. if i can take this job. ill try my best to do everything well.because i love this job.

英文自我介紹 篇2

  my name is . there are 4 people in my family. my father is a chemistry teacher. he teaches chemistry in senior high school. my mother is an english tea

  cher. she teaches english in the university. i have a younger brother, he is a junior high school student and is preparing for the entrance exam.

  i like to read english story books in my free time. sometimes i surf the internet and download the e- books to read. reading e- books is fun. in addition, it also enlarges my vocabulary words because of the advanced technology and the vivid animations.

  i hope to study both english and computer technology because i am interested in both of the subjects. maybe one day i could combine both of them and apply to my research in the future.

英文自我介紹 篇3

  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 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, and my overall GPA(89.5/100) ranked no.1 among 113 students.

  In 1999, I got the privilege to enter the graduate program waived of the admission test. I selected the shanghai jiao tong university to continue my study for its best reputation on combinatorial optimization and network scheduling where my research interest lies.

  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 acerscholarship 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.

  In 1997, I participated in simulation tool development for the scheduling system in prof. Wang’s lab. With the tool of openGL and matlab, I designeda simulation program for transportation scheduling system. It is now widely used by different research groups in NUST.

  In 1998, 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 1999, I joined the distinguished professor yu-geng xis research group aiming at network flow problem solving and heuristic algorithm research. Soon I was engaged in the fudan gene database design. My duty was to pick up the useful information among different kinds of gene matching format.

  Through the comparison and analysis for many heuristic algorithms, I introduced an improved evolutionary algorithm -- multi-population geneticalgorithm. By dividing a whole population into several sub-populations, this improved algorithm can effectively prevent GA from local convergence and promote various evolutionary orientations. It proved more efficiently than SGA in experiments, too.

  In the second semester, I joined the workshop-scheduling research in shanghai heavy duty tyre plant. Th e scheduling was designed for the rubber-making process that covered not only discrete but also continuous circumstances. To make a balance point between optimization quality an d time cost, I proposed a dynamic layered scheduling method based on hybrid petrinets. The practical application showed that the average makespan was shortened by a large scale. I also publicized two papers in core journals with this idea.

  Recently, I am doing research in the composite predict of the electrical power system assisted with the technology of data mining for bao steel. I try to combine the decision tree with receding optimization to provide a new solution for the composite predictive problem. This project is now under construction.

  Besides, in july 20xx, I got the opportunity to give a lecture in english in asia control conference (ASCC) which is one of the top-level conferences among the world in the are a of control and automation.

  In my senior year, I met prof. Xiao-songlin, a visiting professor of mathematics from university of california-riverside, I learned graph theory from him for my network research. These experiences all rapidly expanded my knowledge of english and the understanding of western culture. I hope to study in depth 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 petrinets and data mining.

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