[CPCC] Distinguished Seminar by Prof. Georgios Giannakis on Thu Feb 26
hamidj
hamidj at uci.edu
Sun Feb 8 20:59:08 PST 2015
Title: Learning Tools for Big Data Analytics
Speaker: Georgios Giannakis
Date: Thu. Feb. 26, 2015
Time: 11:00 AM
Venue: Harut Barsamian Colloquia (Engineering Hall 2430)
ABSTRACT
We live in an era of data deluge. Pervasive sensors collect massive
amounts of information on every bit of our lives, churning out enormous
streams of raw data in various formats. Mining information from
unprecedented volumes of data promises to limit the spread of epidemics
and diseases, identify trends in financial markets, learn the dynamics
of emergent social-computational systems, and also protect critical
infrastructure including the smart grid and the Internet’s backbone
network. While Big Data can be definitely perceived as a big blessing,
big challenges also arise with large-scale datasets. The sheer volume of
data makes it often impossible to run analytics using a central
processor and storage, and distributed processing with parallelized
multi-processors is preferred while the data themselves are stored in
the cloud. As many sources continuously generate data in real time,
analytics must often be performed “on-the-fly” and without an
opportunity to revisit past entries. Due to their disparate origins,
massive datasets are noisy, incomplete, prone to outliers, and
vulnerable to cyber-attacks. These effects are amplified if the
acquisition and transportation cost per datum is driven to a minimum.
Overall, Big Data present challenges in which resources such as time,
space, and energy, are intertwined in complex ways with data resources.
Given these challenges, ample signal processing opportunities arise.
This seminar outlines ongoing research in novel models applicable to a
wide range of Big Data analytics problems, as well as algorithms to
handle the practical challenges, while revealing fundamental limits and
insights on the mathematical trade-offs involved.
SPEAKER'S BIOGRAPHY
Georgios B. Giannakis (Fellow’97) received his Diploma in Electrical
Engr. from the Ntl. Tech. Univ. of Athens, Greece, 1981. From 1982 to
1986 he was with the Univ. of Southern California (USC), where he
received his MSc. in Electrical Engineering, 1983, MSc. in Mathematics,
1986, and Ph.D. in Electrical Engr., 1986. Since 1999 he has been a
professor with the Univ. of Minnesota, where he now holds an ADC Chair
in Wireless Telecommunications in the ECE Department, and serves as
director of the Digital Technology Center. His general interests span
the areas of communications, networking and statistical signal
processing – subjects on which he has published more than 375 journal
papers, 625 conference papers, 20 book chapters, two edited books and
two research monographs (h-index 111). Current research focuses on big
data analytics, wireless cognitive radios, network science with
applications to social, brain, and power networks with renewables.. He
is the (co-) inventor of 22 patents issued, and the (co-) recipient of 8
best paper awards from the IEEE Signal Processing (SP) and
Communications Societies, including the G. Marconi Prize Paper Award in
Wireless Communications. He also received Technical Achievement Awards
from the SP Society (2000), from EURASIP (2005), a Young Faculty
Teaching Award, the G. W. Taylor Award for Distinguished Research from
the University of Minnesota, and the IEEE Fourier Technical Field Award
(2015). He is a Fellow of EURASIP, and has served the IEEE in a number
of posts, including that of a Distinguished Lecturer for the IEEE-SP
Society.
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