1. Zhe Hu
(213)304-7980 | zhehuchn@gmail.com | 773 Modern Ice Drive, San Jose, CA 95112
Skills and Strength
Ÿ Solid knowledge of Linear Control Systems, Linear Dynamic Systems, Adaptive and Non-linear
Control System Analysis and Design, Machine Learning.
Ÿ Proficient in Matlab/Simulink, C, Linux, Robotic Operating System (ROS).
Ÿ Familiar with C++, Java, Python, Image Processing.
Experience and Projects
Intern at Add Technology Inc
Robotic Control Software Engineer, Irvine CA Sept 2016 – Nov 2016
Ÿ Improved programming skills of Robotic Operating System (ROS) on Linux, used Gazebo to do
motion planning simulation for TurtleBot robotic vehicle.
Ÿ Implemented high precision of kinetic motion of robots by control algorithms.
Bayes Minimum Error Classifier of Pattern Recognition
University of Southern California, Los Angeles CA Mar 2016 – May 2016
Ÿ Came up with “One of k” method to deal with categorical features; filled in missing data with
average value; reduced features to lower dimension by PCA and MDA; normalized all features
to same scale.
Ÿ Developed a new Bayes minimum error method: applied multi-normal distributed model for
continuous features; applied multinomial distributed model for discrete features.
Ÿ Increased classification accuracy from 27% (with Perceptron), 44% (with MSE), 48% (with
SVM) to 52% (with designed algorithm).
Robust and Adaptive Controller Design for Aircraft Longitudinal Motion
University of Southern California, Los Angeles CA Nov 2015 – Dec 2015
Ÿ Modified transfer function from elevator deflection (input) to pitch angle (output) as
parametric model, designed a controller by normalized robust adaptive control scheme.
Ÿ Implemented the controller in Matlab/Simulink, achieved all parameters convergence and
ensured 3rd transfer function tracks 2nd order reference model.

2. H infinity Controller Design for a two-mass-spring Dynamic System
University of Southern California, Los Angeles CA Nov 2015 – Dec 2015
Ÿ Built state space model from input (mass 2 position) to control signal (force on mass 1),
extracted uncertainty of spring constant, applied linear fractional transform (LFT) to find
impulse response.
Ÿ Designed H infinity controller by Matlab, achieved required settling time, stability robustness
and insensitiveness to high-frequency sensor noise.
Image Edge Detection Based on Biological Vision
University of Jinan, China Mar 2013 – Jun 2013
Ÿ Researched the mathematical model of Laplacian of Gaussian (LOG) method, improved it by
introducing angle and measurement information to enhance edge detection results.
Education
University of Southern California, Los Angeles CA Aug 2014 – May 2016
Master of Science in Electrical Engineering, GPA 3.72/4.00
University of Jinan, China Sept 2009 – Jun 2013
Bachelor of Science in Electrical Engineering, GPA 3.80/4.00