I work in computer vision and pattern recognition applications in biometrics and biomedical imaging. During my PhD in Electrical and Computer Engineering in Carnegie Mellon (2008) I spent most of my time in face recognition and super-resolution. My dissertation is titled "Simultaneous Superresolution and Recognition", a new framework for matching low-resolution probe images to high-resolution images from a gallery, without applying image enhancement. The proposed framework was developed and evaluated for the problem of face recognition. We showed that this approach outperforms the use of super-resolution before face matching, and that it recasts the paradigms of super-resolution design when the purpose is recognition. A summary of this work was recently featured in a MIT Technology Review article: A Face-Finding Search Engine.