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Prof. Alfred Hero, University of Michigan
151 Everitt Lab
Prof. Farzad Kamalabadi
We live in an era of large networks generating lots of data whose topologies are important but are only partially known to us. This topology is defined by the set of nodes and edges in the associated graph. In many networks, edges reflect the existence of significant pairwise correlation between data generated at the nodes. This talk will be on mining correlation patterns from such data.
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. In 2008 he was awarded the Digiteo Chaire d'Excellence, sponsored by Digiteo Research Park in Paris, located at the Ecole Superieure d'Electricite, Gif-sur-Yvette, France. He has held other visiting positions at LIDS Massachusetts Institute of Technology (2006), Boston University (2006), I3S University of Nice, Sophia-Antipolis, France (2001), Ecole Normale Superieure de Lyon (1999), Ecole Nationale Superieure des Telecommunications, Paris (1999), Lucent Bell Laboratories (1999), Scientific Research Labs of the Ford Motor Company, Dearborn, Michigan (1993), Ecole Nationale Superieure des Techniques Avancees (ENSTA), Ecole Superieure d'Electricite, Paris (1990), and M.I.T. Lincoln Laboratory (1987 - 1989).
Alfred Hero is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE). A.O. Hero was awarded a University of Michigan Distinguished Faculty Achievement Award (2011). He has been plenary and keynote speaker at major workshops and conferences. He has received several best paper awards including: a IEEE Signal Processing Society Best Paper Award (1998), the Best Original Paper Award from the Journal of Flow Cytometry (2008), and the Best Magazine Paper Award from the IEEE Signal Processing Society (2010). He received a IEEE Signal Processing Society Meritorious Service Award (1998), a IEEE Third Millenium Medal (2000) and a IEEE Signal Processing Society Distinguished Lecturership (2002). He was President of the IEEE Signal Processing Society (2006-2007). He was on the Board of Directors of IEEE (2009-2011) where he served as Director 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.