•Life cycle experience of software development on proprietary product by OOD C++, including algorithm development, implementing, integrating, testing, optimizing, and SDK development.
•5 years development experience on commercialized products in real-time embedded environment.
•Proficient with C, C++, MATLAB, OpenCV, R, Assembler, PCB design, AutoCAD.
•6 years research in object recognition and tracking, image segmentation, image/video de-noising and biometrics.
•Strong background in image/video processing, pattern recognition, computer vision and machine learning.
•1 year experience in an Agile/Scrum environment to deliver high quality software with JIRA.
•Self-starter, highly-motivated, fast learner and a team player with strong personal and group communication skills.
The company's CARA software uses cameras and face recognition technology to determine viewer characteristics like gender, age, distance, and time spent viewing the advertising in order to then serve up the advertising most relevant.
•Worked on AVA system development for the commercialized software product “CARA” in real-time environment.
•Worked on algorithm development, implementing, integrating, debugging, testing, optimization and SDK development in Object-Oriented Design C++ environment with OpenCV libraries and MATLAB.
•Developed face tracking and background segmentation algorithm on video, integrated into AVA manager, improved the performance, reduced the computational complexity, and compared to other competitors.
•Optimized C++ code to reduce cost and speed up, cleaned defeats, and improved with clients' requirements.
Project: “Quality-based Adaptive Recognition with Unsupervised Learning”
•Developed an adaptive recognition algorithm based on image quality for iris recognition in Matlab.
•Built an adaptive classifier using image qualities as weak features, using Neural Network. Applied unsupervised learning based on confidence in similarity distance of the related classifier outputs.
•Compared to non-adaptive methods, 12% - 15% performance improvement was achieved on iris data.
Project: “Evaluation of Quality-based Fusion on Large Scale Database”
•Worked on image segmentation on large scale data sets of iris data by different segmentation algorithms in Matlab.
•Worked on the performance evaluation of quality-based fusion algorithm on face, iris and finger print data, by using support vector machine on likelihood ratio scores.
•Statistical hypotheses were tested on 66,985 images from 18,817 subjects.
•Worked for the development of the long-distance video surveillance system in real-time embedded environment.
•Designed portable control panel, access control system, and control system of cameras, sensors and alarms in Linux environment, by programming C, Assembly language on 51 chipsets, and PCB design with Protel.
•Worked on software development on the MPEG-1 decoder using C++ with Object-Oriented designing.
•Involved the design and composition of component feasibility criterion and product technical manuals.
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