【文书案例】拿下Columbia EE硕士录取的PS分享~~

【文书案例】拿下Columbia EE硕士录取的PS分享~~ Personal Statement My strong enthusiasm towards intelligent robotics stimulates my desire to attend a world-class graduate program, in which I could strengthen my control background, as well as further establishing my machine learning and machine vision knowledge. I wish to build intelligent and self-adaptive systems that could be useful in the real world, which balances precision, stability, and speed with the help of multiple sources of sensory data and advanced automatic learning and vision algorithms. My desire for building intelligent robotics with interdisciplinary knowledge stems from my extensive research experience in multiple competitions. One of the most fruitful one was my participation at the Robocon China Competition as the team leader of the electronic control division on our university robotics team. Our task was to build two robots that allowed collaborative control, which would support complex functionalities such as passing objects. In order to achieve a stable and precise system based on STM32, we decided to integrate multiple sources of sensor data, including data from photoelectric sensors, laser sensors, and cameras to alleviate possible unreliability of any one of them. After extensive field research, I also identified and implemented different algorithms with Matlab for simulation, such as particle filtering and motion tracking, for accurate state estimation. However, the integration of multiple sources brought up a problem: balancing among the sources and applying actual algorithms in a real-world setting, these required cumbersome parameter tuning. It was then I was fascinated by machine learning algorithms that could handle these tasks automatically. I took the online Machine Learning course offered by Stanford University and conducted extensive reading of the state-of-the-art. Then I gained hands-on experience by applying linear regression to automatically select feature weights by manipulating the gathered training data. I also used cross validation to pick several parameters in our system. By doing those, I could just let the computer run and meanwhile kept high quality on designing the PCB, conducting MCU programming and debugging, studying PID controller, and welding the circuit board onto the robot. Our hard work resulted in an accurate, durable, and fast collaborative robotic system, which received one of the best evaluations nationwide, and I was delightful to find that the process was even more rewarding than the result itself. My experience at the Robomasters Summer Camp this year further strengthened my control and machine learning knowledge, while motivating me to go deeper into machine vision. In the summer camp, I was delighted to meet the selected students nationwide, team up with 4 other students, and get involved in lectures given by world-class researchers and the intense robot chariot competition. I successfully applied my control and MCU programming knowledge to build our control system based on Cortex-M3 processor and PID controller. I also pushed myself to get involved in the work conducted by the vision team, since I was aware that tasks such as object detection, recognition, and tracking are ubiquitous in real-world systems that I want to build. I thus trained myself with Matlab and the OpenCV package in C++, to implement a Kalman Filter for target tracking and location prediction. I also trained a multi-class Support Vector Machine (SVM) to let our robot differentiate between background objects and opponent robots. My attendance to the lectures given by researchers from Hong Kong University of Science and Technology on topics such as remote sensing and 3D image construction further motivated me to go to a world-class graduate program and continuously learn the state-of-art techniques. My experience in building robotics that could conduct simple functions in real-world setting motivates me to go deeper, with the goal of building intelligent robots and systems that can benefit people’s life. I wish to learn the advances in sensor development, and use machine learning techniques such as feature selection and feature learning to automatically and intelligently take advantage of multiple sensor sources. I am especially interested in considering self-adaptive systems that can react and make decisions based on the current environment, which might be achieved by using online learning algorithms to learn the world dynamics on the fly. Also, I have a strong belief that visual data is one of the most reliable resources that we can use, as validated by existing systems such as the Google self-driving car. I can explore deep learning algorithms to learn high-level features that can better describe our world and thus provide more descriptive information and instructions to our built systems. Furthermore, I look forward to building real-time systems with FPGA, possibly combing it with STM32 to balance between efficiency and simplicity for practical applications. After gaining theoretical knowledge and hands-on experience, I wish to contribute to a robot company with my interdisciplinary background, and there is no better choice than to boost myself in related areas by going to a graduate school in the US, talking and learning with the world-class faculties and students. Your School of Engineering and Applied Science has an excellent academic and research reputation worldwide and master students there are known to have the opportunity to become industry leaders after graduation. The EE MS Program is a perfect choice for me. Courses in the control area, such as Digital Control Systems, meet my needs to strengthen my control background for developing practical adaptive working applications in complex scenarios. Also, courses such as Deep Learning for Computer Vision and NLP allow me to learn high-level features that can better represent the visual world and improve the perception capability of robotics. I would also seek the opportunity to continue my research with your world-class researchers such as Dr. Shih-Fu Chang, with who I can realize my dream of conducting interdisciplinary research with my control, learning, and machine vision knowledge. I am certain that the academic experience at University of Columbia will be the greatest asset in my life. I hope my experience, strong motivation, and achievements will make me a qualified candidate for your prestigious program.

蟹老板背景：布朗大学计算机系2010届校友，自2009年起创办留学咨询工作室，累计top 30全程服务案例100人以上

主申方向：CS/DS/BA/MIS/美国本科TOP 50学校

申请服务：签合约保证录取，5万元/10所学校，自2019年起每年限10人

语音付费咨询：600元/小时，半小时起约，可指导：选校定位、DIY申请、文书构思、面试模拟、背景提升、职业规划、编程学习等

小助理微信咨询：895718791（注明：留学申请服务）

详细介绍：http://www.bossqiao.com/files/service.pdf

DS/BA/CS/MIS精华文章整理：http://www.bossqiao.com/