申请类型
研究生
教育经历
Huazhong University of Science and Technology (HUST) 09/2016-Present
Bachelor of Engineering in Biomedical Engineering (expected on June 2020)
GPA: 3.47/4.0 Major GPA: 3.49/4.0
语言/标化考试成绩
T 95 GRE 320+3.0
工作经历
No
实习经历
United Imaging07/2019-09/2019 Intern, Wearable Device Group
l Completed the development of Bluetooth Low Energy (BLE), reader chip and three-axis accelerometer chip and finished product’s posture recognition based on the data of three-axis acceleration
l Wrote codes of BLE, implemented the transmission between chip data and client device (cell phone, computer), realized functions of sending instructions to the chip through the client device, and tested the rate of transmission and power dissipation
l Selected the reader chip of GENESY GL3224 to support USB3.0 Protocol and SD v3.0 UHS-I SDR104 in order to ensure the rate of transmission and developed the reader chip
l Developed the three-axis accelerometer chip to measure the acceleration of the chip’s X, Y, Z axes in three directions
l Utilized the data of acceleration to conduct the computer-aided analysis for the product’s posture recognition function, including filtering, extracting characteristic values, conducting classification and recognition, and transforming classification model to code, which helped gain a recognition rate of 90%
Hubei Huadan Medical Technology Co., Ltd07/2017-08/2017 Workshop Technician and Inspector
l Completed various raw material preparation process such as the preparation of sodium cromoglicate and polyvinyl alcohol
l Understood the difference of chemical products’ preparation process between laboratory and actual plants
l Participated in the drug inspection and tested the raw materials that produced in two months
科研经历
Research on the Non-local Noise Reduction Method ofUltrasound Image09/2019-10/2019
l Utilized Matlab to write the NL-Means Filter (Noise Reduction) algorithm
l Wrote the calculation formula of PSNR and SSNR to evaluate and express the image quality
l Changed one parameter while other parameters are not changes, and then viewed the result of image quality so as to study the effect of these parameters on the filter
l Obtained the optimal parameter under the image and the method, made the image smoother, and concluded the rules of the effect
Applying Machine Learning to Facilitate Personalized Medicine in Lung Adenocarcinoma10/2018-4/2019
l Collected related data from the TCGA database and divided them into three sets of data
l Judged the information with not very high correlation from each set of data by using Spearman
l Applied SVM algorithm to conduct modeling training for the collected data and concluded three classification models
l Tested the accuracy of these three models through Fisher accurate testing
Research on Medical Image Registration and Its Application Based on Matlab10/2018-01/2019
l Took charge of the image preprocessing, space transformation, and similarity measurement
l Utilized normalized mutual information to measure the image similarity and regarded the rigid transformation as the transformation model to complete the image registration
l Optimized the result with genetic algorithm and used Matlab to achieve the image registration
Delta FDM 3D Printer02/2019-04/2019
l Designed the structural and geometric parameters of the printer according to research needs and assembled the components into operational machine.
l Tuned the setting in the firmware to enhance the printer performance
l Redesigned the structure of hotplate holder to make it more easily adjustable and added the filter circuit to each stepping motor of noise attenuation
Experiment of Microcomputer-Based Medical Instrumentation03/2019-06/2019
l Strengthened knowledge of C language, assembly language, and single chip microcomputer
l Learned how to use Protues for simulation, use Keil Uvision for C language programming, and use Medwin for simulation development; had a good mastery of the application of IAR
Experiment of Biomedical measurements03/2019-06/2019
l Deepened understanding of circuit theory, mold electricity, number electricity, and principles of medical instrumentation
l Exploited Protues to complete simulation and designed physical instruments to measure human information
奖项/证书
Applying Machine Learning to Facilitate Personalized Medicine in Lung Adenocarcinoma
l Authors: Kezheng Xiang, Jun Ye, Boning Xing
l The main content of this study is to train three sets of information of Lung Adenocarcinoma patients, general individual information, mutated gene profiles, mutated gene expression level (RNA) by SVM(Support Vector Machine) algorithm and obtain three models, which were evaluated and used for prediction of lung cancer prognosis and reference of personalized medicine
l Sent toProceedings of the 2019 3rd International Conference on Compute and Data Analysis. ACM, 2019: 9-12 (indexed by EI)
申请结果
University of Maryland, College Park
Bioengineering
录取
Brown University
MS in Biomedical Engineering
录取
Rice University
Master of Bioengineering Applied Bioengineering track
拒录
University of Rochester
Biomedical Engineering
拒录
Case Western Reserve University
Biomedical Engineering
录取
University of California, Berkeley
Biomedical Engineering
拒录
Carnegie Mellon University
Biomedical Engineering
录取
Cornell University
Biomedical Engineering
录取
Columbia University
Biomedical Engineering
录取
Duke University
Biomedical Engineering
拒录
University of California, Irvine
Biomedical Engineering
拒录
背景分析
学生优势：本科学校比较好，GRE还OK
学生劣势：GPA偏低+托福比较低
文书思路
在文书中重点突出了学生本科阶段学过的的主要核心课程和研究经历。尤其是在研究过程中遇到的问题并且是怎么解决的，明确学生未来的学术研究方向和导师匹配度和职业规划以及和每个学校的专业设置匹配度。
申请总结
在接到案子的时候，和学生语音沟通过多次，关于文书素材和开头的安排，学生自身就是比较乖的孩子，想法比较少，慢慢的引导，思路就打开了。也比较配合，整个录取结果出人意料。
