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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.

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