Prior to this, Professor Ramesh was at Siemens Corporate Research where he was a Global Technology Field Leader in the area of Real-time Vision & Industrial Imaging. He and his team have developed real-time vision systems for application in video surveillance and monitoring, augmented reality, computer vision software systems, statistical modeling techniques for computer vision algorithm design, analysis, and performance characterization. He has extensive experience in the design, analysis, implementation, and performance evaluation of real-time vision systems. Dr. Ramesh earned his Ph.D. in Electrical Engineering from the University of Washington where he defended his dissertation on “Performance Characterization of Image Understanding Algorithms”. He also was a co-author of an award winning paper on real-time tracking at the IEEE Computer Vision and Pattern Recognition Conference, 2000. He and his team received the Siemens Inventor of the Year award in 2008 for outstanding contributions in real-time vision and modelling. He was also the recipient of the IEEE Longuet-Higgins Award in 2010 for foundational contributions in computer vision.