Email: haber.nick / gmail, com
Nick joined the lab in August 2014 and is working on a project to put social cue recognition and gaze tracking technology on Google Glass for the purpose of psychology research and autism therapy. Currently, his efforts are directed at applying machine learning and computer vision techniques to recognize emotions, so that the device can provide feedback to its users in a way that helps them learn these cues on their own.
Nick is interested in machine learning, computer vision, and human-computer interaction. His work thus far has primarily involved face detection and tracking, using Constrained Local Models. On top of this, he developed engagement scoring, gaze tracking, and emotion detection for the purpose of testing and producing engaging content in online courseware.
Nick graduated from Stanford in August 2013 with a PhD in Mathematics, studying partial differential equations and mathematical physics, specifically in the field of microlocal analysis with a focus on applications to scattering theory. He remains interested in this and the broad aim of a rigorous mathematical understanding of the foundations of quantum field theory.
The Feynman propagator on perturbations of Minkowski space, with Jesse Gell-Redman and András Vasy. In preparation.
Microlocal analysis of Lagrangian submanifolds of radial points. Graduate thesis. Available at http://purl.stanford.edu/fw321sk7331. A normal form around a Lagrangian submanifold of radial points. International Mathematics Research Notices 2013. doi: 10.1093/imrn/rnt096 Propagation of singularities around a Lagrangian submanifold of radial points, with Andras Vasy. Bulletin de la SMF; to appear. Available at http://arxiv.org/abs/1110.1419. Color-Permuting Automorphisms of Cayley Graphs, with M. Albert, J. Bratz, P. Cahn, T. Fargus, E. McMahon, J. Smith, S. Tekansik. Congressus Numerantium 190, November 2008, pp. 161171.