April 25, 2012
Currently working at OpenX. Previously at Intelligent Optical Systems and Smiths Detection. Graduate school at Stanford.
meet other ML enthusiasts; learn from and contribute to our ML community; ideas and inspiration for new applications
10+ years. Spent ten years developing image processing and pixel classification techniques for Hewlett Packard. Then, recently (2006) completed my MSEE at Stanford focusing on signal processing, adaptive systems, AI, and machine learning. Since then, I have been working on sensor data fusion/ classification problems primarily for defense applications.
We are heavily involved in using particle filters for approximate solutions to dynamic Bayesian networks. Additionally, we use many signal preprocessing techniques (STFT, adaptive filters, etc), dimensionality reduction (via PCA), model parameter fitting (ML and EM), Gaussian mixture models, hidden Markov models (HMM), etc, and various classification techniques, especially support vector machines (SVM).
Not quite yet, but in the future (if there's interest) on Dynamic Bayesian Networks and particle filter implementations.
I'm an algorithm developer in signal processing, adaptive systems, AI, and machine learning.