Scientific Seminar at Palo-Alto

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Scientific Seminar - Los Altos, CA
March 12, 2014
Alfred Hero, University of Michigan, will present his work on Correlation mining in large networks with limited samples

Open to the public

 

Date: Wednesday March, 12th 2014 at 11:00 AM – 12:00 PM PT

Location: Technicolor Research & Innovation Center, 735 Emerson Street, Palo Alto, CA 94301

 

Abstract:

We live in an era of large natural and engineered networks of interacting variables whose inter-dependencies can only be statistically estimated from limited amounts of data. In some networks the existence and strength of pairwise interactions can be inferred from the correlation between data generated at the nodes. This inference problem is called correlation mining. This talk will present theory and application of correlation mining, with illustrations in the fields of genomics,  finance, and meteorology.

 

Bio:

Alfred O. Hero III received the B.S. (summa cum laude) from Boston University (1980) and the Ph.D from Princeton University (1984), both in Electrical Engineering. Since 1984 he has been with the University of Michigan, Ann Arbor, where he is the R. Jamison and Betty Williams Professor of Engineering. His primary appointment is in the Department of Electrical Engineering and Computer Science and he also has appointments, by courtesy, in the Department of Biomedical Engineering and the Department of Statistics. From 2008-2013 he has held the Digiteo Chaire d'Excellence at the Ecole Superieure d'Electricite, Gif-sur-Yvette, France. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and several of his research articles have received best paper awards. Alfred Hero was awarded the University of Michigan Distinguished Faculty Achievement Award (2011). He received the IEEE Signal Processing Society Meritorious Service Award (1998), the IEEE Third Millenium Medal (2000), and the IEEE Signal Processing Society Technical Achievement Award (2014). Alfred Hero was President of the IEEE Signal Processing Society (2006-2008) and was on the Board of Directors of the IEEE (2009-2011) where he served as Director of Division IX (Signals and Applications).

 

Alfred Hero's recent research interests are in statistical signal processing, machine learning and the analysis of high dimensional spatio-temporal data. Of particular interest are applications to networks, including social networks, multi-modal sensing and tracking, database indexing and retrieval, imaging, and genomic signal processing.