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Home | Seminars and Symposia | Past seminars/symposia: Monday, March 2, 2015

DTC Science and Technology Innovators Lecture Series

Data Science: A Signal Processing Approach

by

José M. F. Moura
Carnegie Mellon University

Monday, March 2, 2015
3:30 p.m. reception
4:00 p.m. lecture

401/402 Walter Library

José M. F. Moura

View webcast of this lecture (Webex format)

Signal Processing has traditionally dealt with time series, images, video where data is indexed by time ticks and pixels. The structure of the indexing set is taken for granted. In the last few years, new opportunities for signal and data processing have arisen, except data is now indexed by social agents, genes, customers of service providers, or by some other arbitrary enumeration suggested by the application. We revisit the fundamentals of Signal Processing and develop for data (signals) arising from these various domains the essential concepts and methods of traditional Signal Processing. We illustrate the approach with data drawn from a number of different applications including social networks and customer data. Ours is an attempt to identify structure in unstructured data and theory and modeling in the "data deluge ." ("The End of Theory: The Data Deluge Makes The Scientific Method Obsolete," Chris Anderson, Wired Magazine, June 23, 2008.)

Work with Aliaksei Sandryhaila, Soummya Kar, Joya Deri, and Jonathan Mei.

 

José M. F. Moura is the Philip L. and Marsha Dowd University Professor at CMU, with interests in data science. A sequence detector of two of his patents (co-inventor Kavcic) is found in 2.4 billion disk drives of 60% of all computers sold in the last 10 years. He cofounded SpiralGen to commercialize Spiral (www.spiral.net). He is 2016 IEEE VP for Technical Activities, was IEEE Board Director, President of the IEEE Signal Processing Society (SPS), and Editor in Chief for the Transactions on SP. Moura received the IEEE SPS Technical Achievement Award and Society Award. He is Fellow of the IEEE and of AAAS, corresponding member of the Academy of Sciences of Portugal, Fellow of the US National Academy of Innovation, and member of the US National Academy of Engineering.