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NUS School of Computing Public Symposium
comprising two talks:
Google: A
Computer-Science Success Story
Considering
Mathematical Groundwork, Pragmatics,
Remaining Challenges
by Jeffrey Ullman
Stanford W Ascherman Professor of Computer
Science (Emeritus)
&
Why Many High-paying Jobs of the Future
Can Benefit from
a Good University Education in Computing
by
H T Kung
William H Gates Professor of Computer
Science and Electrical Engineering
Harvard School of Engineering and Applied
Sciences
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Professor Jeff Ullman
Stanford W Ascherman Professor of
Computer Science (Emeritus)
http://infolab.stanford.edu/~ullman/
Biodata:
Jeffrey Ullman is the
Stanford W. Ascherman Professor of
Computer Science (Emeritus). His
interests include database theory,
database integration, data mining
and education using the information
infrastructure. He has received
numerous awards such as the
Guggenheim Fellowship and election
to the National Academy of
Engineering. He also received the
1996 Sigmod Contribution Award and
the 1998 |
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Karl V. Karstrom Outstanding
Educator Award. Professor Ullman has
served on numerous boards and
panels, including the NSF advisory
panel on Computer Science in the
United States, the Technical
Advisory Board of Google.com and the
Scientific Advisory Board of the
Institute for Infocomm Research in
Singapore. He was on the visiting
committee of NUS School of Computing
for a number of years between 1994
and 2003. Professor Ullman is the
author or co-author of 16 books and
170 technical publications.
Abstract
of talk:
In this talk,
Professor Jeffrey Ullman will take
us behind the scene to consider the
elements of Google’s success from
the technological perspective. He
will walk us through the
mathematical groundwork and
pragmatics that underlie the
well-known search engine,
demonstrating how intellectual
leaps, combined with creative
software engineering led to
something that has a profound effect
on all of us. He will discuss the
problem of scale, the critical need
for speech, the spam problem, page
rank, random walks on the Web, and
other such considerations. Looking
beyond the illustrative case of
Google, he will discuss the
challenges that remain in our
future, and how people learned in
mathematics, algorithms and
conceptual models can make a
difference in knowledge discovery
and more.
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Professor H T Kung
William H Gates Professor of
Computer Science and Electrical
Engineering,
Harvard School of Engineering and
Applied Sciences
http://www.eecs.harvard.edu/~htk/
Biodata:
H T Kung is William H
Gates Professor of Computer Science
and Electrical Engineering at
Harvard School of Engineering and
Applied Sciences. His interests are
in computer and telecommunications
networks as well as their
applications in business. Prior to |
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joining Harvard in 1992, he taught
at Carnegie Mellon, and led research
projects on the design and
experiment of novel parallel
computers and switch-based networks.
At Harvard, Professor Kung teaches
and researches in computer networks.
Since 1999, he has been co-chairing
a new joint Ph.D. program with the
Harvard Business School on
information, technology and
management. To complement his
academic activities, Professor Kung
maintains a strong link with
industry. He has served as a
consultant and board member to
numerous companies. Professor Kung's
awards and honours include: Election
to the National Academy of
Engineering; Distinguished Lecturer
in Information Sciences, National
Academy of Sciences International
Science Lecture Series and Election
to Academia Sinica (in Taiwan) and a
Guggenheim Fellowship. He has served
in the visiting committee of NUS
School of Computing for a number of
years.
Abstract
of talk:
It is an old story that
information technology is a key
enabling engine for economical
growth. However, the fact that
software systems play a critical
role in this is often not
sufficiently emphasised, perhaps due
to its obviousness. Recent labor
statistics numbers in the US show
that demand for computer scientists
is projected to grow by 37% over 10
years. It is one of the top
demanding fields. In this talk, I
will argue how a good university
education in computing can help
prepare computing professionals to
meet the demand, and in general,
produce future technology leaders. |
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