My work covers theory and practical topics in information theory, statistical learning and signal processing. In particular, a lot of focus is on high dimensional problems, reflecting requirements for diverse applications in data processing, handling biological and genetic data, risk management, channels with memory, smart grids among others.
I gravitate towards solutions that involve nice combinatorics or probabilistic arguments where possible. During the course of obtaining engineering and statistically relevant solutions, I have enjoyed using results and insights from number theory, combinatorics, and topology to name a few seemingly uncommon subject areas.
If you are/were in a class I taught, all documents you need are
on Laulima. If you are looking
for a puzzle I asked you, please email me at
Update 3/18/13: Videos of NSF Center for Science of Information workshop available on YouTube here.
