OBJECTIVE
• To obtain full-time summer internship in software developing or computer vision.
SUMMARY
• Highly productive Software Engineer and Data Professionals with 5 years progressive engineering and research experiences. Expertise in Object-Oriented and Script Programming for large, complex projects and algorithms across multiple platforms. Rich domain knowledge and functional project experiences in Data Mining, Machine Learning, Image Processing and Computer Vision. Extensive team-work experiences with high tolerance for risk and tight deadlines.
COMPUTER SKILLS
Languages C/C++, JAVA, Matlab, Bash Script, SQL, x86 Assembly, UML
Platforms Debian/Redhat Linux, Windows7
Libraries Linux C, STL, JSP, Android, OpenCV, OpenGL
Applications Git, Make, Vim, Eclipse, Visual Studio, LTEX, MS Office, MS
SQLServer, Mysql
EDUCATION
2013 - 2015 UNIVERSITY OF MICHIGAN, Ann Arbor, MI
Master of Science and Engineering in Electrical Engineering:Systems, GPA 4.0
Major: Computer Vision, Minor: Computer Software
Relevant Coursework: Database Management System, Operating System
2008 - 2012 SHANDONG UNIVERSITY, Shandong, China
Bachelor of Engineering, Software Engineering, GPA:92.13/100,
Rank:2nd /378(top 0.5%)
Relevant Coursework: Data Structure and Algorithm, Operating
System Concepts, Computer Network, Database System, Software
Engineering, Principles of Compilers, Computer Graphics
PROFESSIONAL EXPERIENCES
2013.04 - INTEL LABS China, Beijing, China
2013.08 Programming & Research Intern
• Developed faster than real-time Facial Expression Tracking algorithm for mobile platform at five ms/frame.
• Wrote C/C++ and Matlab programs to implement facial key-points detection and facial model fitting procedures. Searched and approached to maximum facial key-point response with Mean-shift algorithm. Indicated intrinsic shape space of human faces with PCA method.
• Enabled fast matrix computation and basic image processing with OpenCV.
• Performed performance profiling to spot the bottle-neck.
2012.12 - SAMSUNG ADVANCED INSTITUTE OF TECHNOLOGY (SAIT) China, Beijing, China
2013.04 Programming & Research Intern
• Developed the Face Detection System for various facial postures with OpenCV and C/C++.
• Enhanced detection rate and suppressed false alarms with Boosting Cascade framework. Assembled texture feature, LBP, with intensity feature, Haar, to improve robustness of detection.Enhanced training effectiveness by uniforming training sample space via nonlinear dimensionality reduction, Iso-map.
• Achieved detection rate of 91% with only 10 false alarms on CMU-MIT face dataset.
2011.09 - UNIVERSITY OF HONG HONG, COMPUTER VISION LAB, Hong Kong
2012.11 Research Assistant
• Developed a Multi-persons Tracking System for surveillance environment with C/C++ and OpenCV.
• Simulated human motion states with Particle Filtering algorithm and hidden Markov model. Trained human detector based on ...
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