Software Development Resume
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Knoxville, TN
Summary
A highly self-motivated and result-oriented PhD student is looking for a full-time job in industry. I have strong experiences in both engineering development and research:
- I have extensive academic/commercial software development experiences.
- My research area covers computer vision, digital image processing, machine learning, and wireless visual sensor networks.
Education
- Ph.D. in Computer Engineering
- M.S. in Electrical Engineering
- B.E. in Electrical Engineering
Skills
- Programming: C, C++ and Matlab
- Programming Libraries: OpenCV, IPP, MFC and Boost
- Applications: Linux, Microsoft Visual Studio 2005/2008, LabVIEW, Subversion
Experience
- Engineering Intern [C, C++, OpenCV, IPP, boost, Visual Studio 2008, Matlab]
Confidential Knoxville, TN 05/2009 ~ 08/2009
Computer vision algorithm design and implementation for a traffic surveillance/control system using a fisheye camera (GridSmart Spectra 360TM)
- Tuned and benchmarked C/C++ code performance.
- Implemented the fisheye camera calibration procedure using homography transform for the accurate vehicle speed measurement.
- Tested the SIFT (Scale Invariant Feature Transform) feature extraction algorithms using OpenCV library for difficult-to-detect vehicle tracking.
- Research Assistant [C, C++, MFC, Visual Studio 2005, Matlab]
Confidential 08/2006 ~ Present
Software Development
- Developed the “Terahertz Signal Viewer” by programming in C++ using MFC Library.
- Developed the “Terahertz Image Viewer” by programming in Matlab using GUI components.
Feature-based image comparison algorithm design for resource-constrained wireless visual sensor networks
- Designed a computationally efficient corner detector for resource-constrained wireless visual sensor networks using linear mixing model.
- Designed a dimensionality reduction method for compressing high-dimensional SIFT feature descriptors using linear mixing model.
- Analyzed the information redundancy existed in Visual Sensor Networks.
- Conducted all software simulations and tests by programming in Matlab.
Terahertz image reconstruction using linear spectrum unmixing
- Analyzed the terahertz wave degradation when water molecule absorption exists.
- Proposed a linear mixing model for terahertz imaging process.
- Statistical analysis on the terahertz image noise.
- Implemented an unsupervised learning approach to find the Fully-Constrained Least Square solution to the linear mixing problem.
- Conducted all software simulations and tests by programming in Matlab.
- Teaching Assistant [C, C++, Linux]
Confidential 08/2006 ~ 05/2010
- In subject of: Electrical Engineering Computation, Electronics and Computer Circuits, Computer Networks, and Probability and Random Variables.
- Responsibilities: gave lectures, graded homework, led lab sections, and held office hours.
Awards
- Extraordinary Professional Promise Award, University of Tennessee, Knoxville, 2010.
- Best Thesis Award, top 5 , Beijing Institute of Technology, 2006.
- Renmin Scholarships, top 10 , Beijing Institute of Technology, 2000 – 2004.
Publications
- Yang Bai and Hairong Qi, “An efficient corner detector based on linear mixing model,” in submission to IEEE Transactions on Image Processing.
- Yang Bai and Hairong Qi, “An effective approach to corner point detection through multiresolution analysis,” IEEE International Conference on Image Processing (ICIP), 2011, accepted.
- Yang Bai and Hairong Qi, “Feature-based image comparison for semantic neighbor selection in resource-constrained visual sensor networks,” EURASIP Journal on Image and Video Processing, special issue on Multicamera Information Processing: Acquisition, Collaboration, Interpretation, and Production, 2010.
- Yang Bai and Hairong Qi, “Redundancy removal through semantic neighbor selection in Visual Sensor Networks”, in Proceedings of the Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC), 2009.
- Yang Bai and Hairong Qi , “A new perspective on terahertz image reconstruction based on linear spectral unmixing”, in Proceedings of the 15th IEEE International Conference on Image Processing (ICIP), 2008.