Qionghui Zhang is a graduate of the University of Southern California with a M.S. in Electrical Engineering in Multimedia and Creative Technologies. She has technical skills in programming languages like C, C++, Java, Matlab, and R. Some of her academic projects include developing a ray tracer in computer graphics, simulating a 3D roller coaster scene, performing regression on NBA player performance data using R, and designing a neural network for number recognition. She has experience with digital image processing techniques like spatial and face morphing as well as multimedia data compression algorithms and designing a video search system.

1. Qionghui Zhang
qionghui_zhang@yahoo.com (213)422-1805 1188 W 28th
Street, Los Angeles, CA, 90007
EDUCATION
01/2013-12/2014 University of Southern California, Los Angeles, CA
M.S. in Electrical Engineering in Multimedia and Creative Technologies. GPA: 3.71/4.0
09/2008-07/2012 Northwestern Polytechnical University (NWPU), Xi’an, Shaanxi, China
B.E. in Electronic Science and Technology. GPA: 86/100
TECHNICAL SKILLS
Programming Languages: C, C++, JAVA, Matlab, R.
Operating Systems: Windows, Linux, Unix
RELATED COURSES
CSCI570 Analysis of Algorithm CSCI480 Computer Graphics CSCI561 Artificial Intelligence EE569 Digital Image
Processing EE669 Multimedia Data Compression EE483 Digital Signal Processing CSCI576 Multimedia System
Design EE464 Probability for Electrical Engineering EE660 Machine Learning from Signals: Foundations and Methods
ACADEMIC PROJECT EXPERIENCE
Computer Graphics: Ray-Tracer Nov.2013-Dec.2013
• Based on Phong shading and NTB space, animate the shadow effect and recursive reflecting.
• Averaged multiple rays to one pixel to realize antialiasing and soft shadowing.
Computer Graphics: 3D Simulation Roller Coaster Oct.2013-Nov.2013
• Based on Catmull-Rom Splines, lighting and texture mapping to draw roller coaster scene.
• Based on NTB to modify the angle of the camera to animate the realistic scene.
• Added velocity algorithm to change the speed of camera to animate the velocity effects.
Machine Learning: Regression on NBA Player’s Playoff Performance Nov.2014-Dec.2014
• Conducted Bayesian Model Selection to get the related models for regression.
• Conducted different basic linear and nonlinear models for the given training data, then tested on testing data to find the
best model and corresponding parameter. (Coding by R language)
Artificial Intelligence: Number Recognition based on Neuron Network Apr.2014-May.2014
• Used sigmoid function for active function when calculating output and backward propagation principles to update
weights in training 3-layer neuron network system.
• Imported test samples to the neuron network system, checked the consistency.
Digital Image Processing: Spatial and Face Morphing Nov.2013-Dec.2013
• Divided the corresponding parts of original and objective image, developed transform matrix and algorithm to morph
the part of original image into new shape with ideal effect.
• Given two images of two different faces, extracted corresponding features and divided images into triangle parts,
conducted spatial warping to realize alignment of same feature.
• Created a video using MATLAB to show the procedure of morphing and alignment.
Multimedia Data Compression Jan.2014-Feb.2014
• Conducted encoder of Shannon-Fano, Huffman, Adaptive Huffman, QM by C++.
• Conducted image compression by JPEG, video compression based on H.264 and H.265.
Multimedia System Design: Video Search Nov.2013-Dec.2013
• Extracted the color feature of each frame of video together with audio feature, made analysis of corresponding feature
then made synchronization.
• Designed application for query video, then showed similarity between each given videos.