Peng Wang,   Ph.D. 


I work in the areas of machine learning, computer vision, and medical imaging. I obtained my Ph.D. from the Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, and B.S. and M.S. in Electrical Engineering, from the University of Science and Technology of China. I was a post-doctoral research fellow in the University of Pennsylvania, Philadelphia PA, and a researcher in Siemens in Princeton NJ. I currently work in Google. 


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Ph.D. Electrical Engineering, Rensselaer Polytechnic Institute, Troy, NY 

M.S.  Electrical Engineering, University of Science and Technology of China,  China

B.S.   Electrical Engineering, University of Science and Technology of China,  China



My general interests are in Machine Learning, Computer Vision, and Medical Image Analysis. During my work, I like to find solutions that are simple, essential to solving problems, and useful. 

The projects I have worked on include:

Object (e.g., face, eyes, medical devices) detection and tracking

Feature extraction and pattern classification

Performance evaluation and prediction of biometric systems

Facial expression analysis on video and 3D surface data

Diffusion tensor image analysis

Image guided interventions


        I work in Google now
       My paper has been accepted by IEEE Trans. on Medical Imaging:
            Image-based Co-Registration of Angiography and Intravascular Ultrasound Images

     My work of Angio/IVUS co-registration is now in a new Siemens product and is featured on Siemesn website.

     Two papers to be presented in MICCAI 2012:

1.  Peng Wang, Yefeng Zheng, Matthias John, Dorin Comaniciu, Catheter Tracking via Online Learning for Dynamic Motion Compensation in Transcatheter Aortic Valve Implantation (Oral presentation)

2.  Yu Cao, Peng Wang, An Adaptive Method of Tracking Anatomical Curves in X-Ray Sequences




The Finalist of the Best Paper Award in Medical Robotics & CAI Systems

Peng Wang,  et. al., Image-based Device Tracking for the Co-registration of Angiography and Intravascular Ultrasound Images ,International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2011 


Best Paper Award

Peng Wang, Matthew B. Green, Qiang Ji and James Wayman, Automatic Eye Detection and Its Validation, IEEE Workshop on Face Recognition Grand Challenge Experiments (with CVPR), San Diego, CA, June 2005 





Area Chair and and Program Committee Member

          International Conference on Pattern Recognition, 2012

Workshop on Motion and Video Computing (WMVC) 2008

Workshop on Motion and Video Computing (WMVC) 2009

ournal and Conference Review

IEEE Trans. on Pattern Analysis and Machine Intelligence

Pattern Recognition

Computer Vision and Image Understanding

Image and Vision Computing

IEEE Trans. On System, Man, and Cybernetics, B

Pattern Recognition Letters

International Journal of Pattern Recognition and Artificial Intelligence

IEEE Transaction on Biomedical Engineering,

IEEE Transaction on Intelligent Transportation Systems

Digital Signal Processing

IEE Proceedings of Vision, Images and Signal Processing

International Journal of Computer Applications in Technology

International Journal of Image and Graphics

EURASIP Journal on Image and Video Processing



U.S. National Science Foundation (NSF)

Chilean Research Fund Council (FONDECYT)


IEEE Member, IAPR Member, Sigma Xi Member