First International Black Sea Conference on Communications and Networking
Sheraton Hotel, Batumi, Georgia, July 3-5, 2013
Communications and Networking in the Land of "Golden Fleece"
Technically Sponsored by IEEE Communications Society
Sponsored by the International Black Sea University, Georgia
Keynote Speakers
 |
Enis Erkel
Head of Research and Development |
Communications and Networking Industry Challenges
Abstract
On today's networks, applications, devices and the data traffic they generate are
increasing exponentially. Fast-growing machine-to-machine services add more data and
create further challenges in data traffic management. As a result, network complexity
is growing rapidly, and to keep up, operators will need to invest more in several key
areas while also innovating on cost reduction. Two key technologies being explored
by operators are Software Defined Networking and Network Virtualization, with the
potential to reduce network complexity and relieve pressure on OPEX and CAPEX costs.
A third, emerging area is energy management as a pillar of network management. With
operator OPEX costs consuming a very high percentage of revenues relative to other
industries (up to 80%), there is signifcant opportunity to innovate in energy efficiency
and management. Additionally, closer relationships between utilities and telecoms may
be mutually beneficial, as inefficient power distribution networks can learn from today's
complex communication networks.
Short Biography
Enis Erkel joined Turk Telekom (TT) Group in 2009 as Head of R&D. TT Group comprises 3 operators and 6 technology companies with over 900 R&D engineers. He has established strong partnerships with leading universities and research centers to jointly define and develop next generation ICT technologies, and launched over 50 leading-edge R&D projects during the first two years.
Previously, Enis was one of the founding managers of LG-Nortel, a joint venture telecommunications equipment company between LG and Nortel, established in 2005 in South Korea. He held key roles in the company including Vice President of Technology, providing leadership for a 1000-staff R&D organization.
Between 2000 and 2005, Enis was Vice President in charge of Nortel's Carrier voice and data solutions business in Asia, and later in Eastern Europe. During his Asia leadership role, he guided two R&D labs in China to become global R&D centers. He joined Bell-Northern Research (BNR) in USA in 1985 and held successive R&D leadership positions within BNR with increasing responsibility.
Enis holds a Bachelor of Science in Electrical Engineering, with graduate studies in Computer Sciences and is a graduate of the Executive Management Program at Kenan-Flagler Business School of UNC. He was the sole recipient of Nortel's prestigious "President's Award of Excellence in Leadership" in 1999.
He has been a Board Member of two leading EUREKA clusters in telecommunications and energy fields: Celtic Plus, and Eurogia+.
[Back to Program]
|
Georgios B. Giannakis
ADC Chair Professor in Wireless Telecommunications |
Sparsity and Low Rank for Robust Social Data Analytics and Networking
Abstract
The information explosion propelled by the advent of personal computers, the
Internet, and the global-scale communications has rendered statistical
learning from `Big Data' increasingly important for analysis and processing.
Along with data adhering to postulated models, present in large volumes of
data are also those that do not - what are referred to as outliers or anomalies.
In this talk, I will start with an approach to outlier-resilient principal
component analysis, which establishes a neat link between the seemingly
unrelated notions of sparsity and robustness to outliers, even when the
signals involved are not sparse. I will argue that controlling sparsity of
model residuals leads to statistical learning algorithms that are
computationally affordable and universally robust. The impact of these
ideas will be demonstrated in applications as diverse as identification of
aberrant responses in personality assessment surveys, and unveiling
communities in social networks, as well as intruders from video surveillance
data. In the second part of the talk, I will switch focus towards the
important task of unveiling and mapping-out network anomalies given link-level
traffic measurements. Leveraging the low intrinsic-dimensionality of
end-to-end network flows and the sparse nature of anomalies, I will show
how to construct an estimated map of anomalies in real time to aid in
monitoring the network health state. If time allows, I will finally
highlight additional application domains that include predicting network-wide
path latencies, and load curve cleansing and imputation -- a critical task
in green grid analytics and energy management with renewables.
Short Biography
G. B. Giannakis (IEEE 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 350 journal papers, 550 conference papers, 20 book chapters, two
edited books and two research monographs (h-index 103). Current research
focuses on compressive sensing, cognitive radios, cross-layer designs,
wireless sensors, social and power grid networks. He is the (co-)inventor
of 21 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, and the G. W. Taylor
Award for Distinguished Research from the University of Minnesota. 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.
[Back to Program]
 |
Gerhard Kramer
Alexander von Humboldt Professor |
Short Message Noisy Network Coding
Abstract
Network coding is a method for cooperatively communicating across networks. An extension called Noisy Network Coding (NNC) is a digital and compression-based relaying strategy that has several nice information-theoretic properties. For example, the method extends random network coding from classic networks to wireless networks, and it achieves rates within a reasonable gap of cut bounds. This talk reviews the development of the NNC strategy and presents recent improvements concerning random coding and decoding. The talk is based on joint work with Jie Hou of TUM.
Short Biography
Gerhard Kramer is Alexander von Humboldt Professor at the Technische Universität München (TUM). He received the B.Sc. and M.Sc. degrees from the University of Manitoba, and the Dr. sc. techn. degree from the ETH Zürich in 1998. From 1998 to 2000, he was with Endora Tech AG in Basel. From 2000 to 2008 he was with the Math Center, Bell Labs, Murray Hill. He joined USC in Los Angeles in 2009 and TUM in 2010.
[Back to Program]
You are visitor:
since 18 June 2012.