Zhixin Ren
** ******* **, ******, **, ***** Cell: 530-***-**** Email:
*****@****.********.***
Objective
Seeking a challenging position as a tester, which allows me to both further
utilize my previous experience and acquire new abilities.
Education
University of Missouri-Columbia, MO
August, 2012- Present
Master of Electrical Engineering Field in Digital Image Processing
GPA: 3.6/4.00
Major Courses: Communication theory, Introduction to Wireless Communication
System, Digital Signal Processing (DSP), Image Processing, Computer Vision,
Supervised Learning, Radar Signal Processing
Shenyang University of Chemical Technology
September, 2008-June, 2012
Bachelor of Electrical Engineering
GPA: 3.6/4.00
Skills
< 4 year+ experienced on Matlab & Simulink
< 2 years+ Python
< 6 months on Python teaching
< 2 years+ C, C++, SQL 2008/2012
< Experience with Qualcomm tools like QXDM, QPST, QCAT
< OS: Windows, Linux(Ubuntu),iOS, Android
< Knowledge of Wireless communication, TCP/IP, UDP/IP, UMTS,
802.11a/b/g/n/ac, OFDM/MIMO and Call processing
< Good skill on writing test scenario
< Proficient in office computer application
Work Experience
Handset Tester ZTE USA, Leawood,
Kansas City, KS
. Work as smart phone function testing, performance testing, pressure
testing and Chameleon testing.
. Set up and implement project testing plans and testing strategies
. Testing of 3rd party companies to complete required independent
testing.
. Analyze carrier's requirements and compliances to improve testing
cases data bases, learn projects lesson and manage project history
bugs
. Work with R&D team, HQ testing Team and Sale Team to make projects TA
on time
. Use QXDM, QPST, QCAT to pull logs, debug and trouble-shoot
. Write WIFI bug scenario include: WIFI and Bluetooth.
. Be responsible for Chameleon testing on OMA platform
. Driving Test
Research Assistant Computer Vision Lab, College of Engineer,
University of Missouri
. Assist professor with lab work and research, mainly focus on
implementing image processing algorithm and collecting/ preparing
experiment data.
. Conduct scientific literature survey and top conference paper
presentation.
Python and Math Tutor Student Success Center, Campus, University of
Missouri-Columbia
. Teach 3 students with Algebra & teach 3 students with Python
. Help student with trouble-shooting, analysis bugs and debugging.
Projects
Face Recognition via Sparse Representation
. Mainly using the well-known l1-norm constrained least-square
reconstruction minimization technique to realize face recognition.
The training set is constructed as follows: each subject is presented
in the training with many images representing various lighting
conditions, so that a probe image (testing image) of certain
illumination conditions can be represented by a sparse linear
combination of the training samples.
Audio Graphic Equalizer:
. The system decomposes the input into high frequency and low frequency
components by using linear phase high-pass and low-pass filters.
Different gains are introduced to the filter outputs to emphasize or
attenuate the corresponding frequency band components. The resultant
signals of the two channels are added together to form the final
output.