ECE Colloquium - February 26, 2014
Dr. Jose Moura, Carnegie Mellon University
CoRE Building Lecture Hall
Data & Models: Correlation and Causation
A few years ago Chris Anderson, Editor in Chief of Wired Magazine, proposed the “End of Theory;” no need for causation (modeling), from data (big) with Google smarts (or the likes) get all the correlations needed . We live in a time of great challenge and opportunity. Data is big, but, more importantly, comes in all sorts of ways and from many different sources – social, physical, biological, molecular, to name a few. However, if we do capture the relations among data through (arbitrary) graphs (and this in itself is a big if), we can recapture the “big data” challenge in the very familiar setting of everyone’s beloved DSP. This talk will overview our progress so far extending to signals and data defined on graphs traditional signal processing concepts including shifting, frequency, filtering, convolution, spectral representation, filters frequency response, linear transforms like the discrete Fourier transform. With a proper setting, models still make sense and help interpret the data. We illustrate with examples drawn from social networks and the World Wide Web.
Work with Dr. Aliaksei Sandryhaila and graduate student Jonathan Mei.
José M. F. Moura is a visiting Professor at CUSP, NYU (2013-14). He is the Philip and Marsha Dowd University Professor at Carnegie Mellon University, with interests in statistical signal processing (SP) and distributed SP on graphs. He was an IEEE Board Director (2013-2014), he was President of the IEEE Signal Processing Society (SPS), and was Editor in Chief for the Transactions on SP. Moura received several awards including the IEEE Signal Processing Society Technical Achievement Award and the IEEE Signal Processing Society Society Award for outstanding technical contributions and leadership in SP. He is a Fellow of the IEEE, a Fellow of AAAS, a corresponding member of the Academy of Sciences of Portugal, and a member of the US National Academy of Engineering.