Jia Kang
Columbia University
Education
M.S. in Biomedical Engineering
GPA: 4.0/4.0
Courses: Biomedical Imaging, Computational Neuroscience, Computational Modeling of Physiological Systems, Biomedical Signal Processing and Signal Modeling, Quantitative Physiology, Sparse Models for High- Dimensional representation, Numerical Analysis, Reinforcement Learning, Statistical Machine Learning for Genomics
B.S. in Information Engineering
GPA：3.69/4.0
Be awarded as outstanding graduate of Shanghai Jiao Tong University in the year of 2019.
Won the Academic Excellence Scholarship of Shanghai Jiao Tong University for three consecutive years from 2016 to 2018.
Excellent Student Leader of Shanghai Jiao Tong University in 2017
Courses: Digital Image Processing, Machine Learning, Big Data Mining, Data Structures and Algorithms, Programming in C++, Database and SQL, Probability and Statistics, Convex Optimization, Overview of Cancer
Exchange Student
GPA：7.0/7.0
Courses: Signals and Systems
Internship
Created a core image detection module based on YOLO algorithm for the company's 3 anti-rolling systems and 1 port obstacle detection system.
Designed an instance segmentation algorithm based on Mask R-CNN, and it has been applied in the company’s unmanned crane control system.
Solved the current shortage of skilled mechanical operators by these newly-developed automatic control systems equipped with above algorithms.
