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Reaction of Siebel Scholars
Description of Siebel Scholoars' Research
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Siebel Systems Scholarships Awarded to Five SCS
Graduate Students
Siebel Systems, Inc. announced a $2.5
million gift to establish five fellowships
at the Carnegie Mellon School of Computer Science (SCS). The awardees
or Siebel Scholars as they will be know
will receive $25,000 each for educational
expenditures.
The five chosen graduate students who demonstrate academic excellence
and leadership qualities are:
- Frank Dellaert, CS Ph.D.
Advisors: Chuck Thorpe and Sebastian Thrun
- Rayid Ghani, CALD MS
Advisor: Tom Mitchell
- Craig Olinsky, LTI MS
Advisor: Alan Black
- Jovan Popovic, CS Ph.D.
Advisors: Steve Seitz and Mike Erdmann
- Jeffrey Smith, Robotics Ph.D.
Advisor: Irving Oppenheim
Reaction from the new Siebel Scholars was
a mixture of surprise, gratitude, and relief. Frank was grateful
the Siebel Systems scholarship would now cover the cost of graduate
school. "After having been generously supported by SCS over
all these years, it feels good to be able to contribute part of
it myself by means of this grant," said Dellaert. Normally,
the School of Computer Science awards most students accepted into
a doctoral program a Graduate Fellowship for the academic year,
covering full tuition and providing a living allowance that is usually
renewable for the duration of the program. Similarly, Jeff Smith's
response was one of relief. "My advisor has no funded research,"
said Smith, "so I've been living on the generosity of better-funded
professors for the past two years."
Rayid Ghani was totally surprised upon hearing he had received
the $25,000 Siebel Systems scholarship. "It was completely
unexpected and I feel extremely honored to have been chosen to receive
this award," exclaimed Ghani. Craig Olinsky responded to the
news with a renewed dedication to his research. "I suppose
that it would, in a sense, encourage me to work harder knowing that
there has now been set this external influence with such lofty expections
of my overall research output," explained Olinsky
Olinsky gives an accurate read on Siebel System's and other's expectations.
Siebel donated the gift to recognize the excellent reputation Carnegie
Mellon has in the field of computer science. "Siebel Systems wanted
to invest money in supporting the leaders of tomorrow's technology
companies," said Justin Dooley, Siebel System's Vice President of
Finance. "By providing graduate fellowships at schools like Carnegie
Mellon's School of Computer Science we are able to do just that."
Living up to the School's reputation, the
Siebel Scholars' research focuses on area of computer science that
will undoubtably impact technology, from text and web mining, speech
synthesizer technology, computer vision, and computer animation.
Rayid Ghani, a master's student in the
Computer Automated Learning and Discovery (CALD) program, is investigating
text and web mining. Given that Lycos technology
was born at Carnegie Mellon, Ghant is following a strong tradition.
Specifically, he works on applying Machine Learning techniques to
automatic text classification and information extraction on the
web as well as using unlabeled data to improve text classifiers.
After graduation, he is considering a career at a corporate research
lab where he could apply his machine learning skills to real-world
problems.
Craig Olinsky, a master's student in the
Language Technology program, is working on training an intontation
model for a Chinese speech synthesizer (text-to-speech system) for
his master's thesis. After graduation, he hopes to to pursue a Ph.D
and then to find a corporate research position involing east asian
language processing (working in Speech synthesis, recognition, text
analyais, or such...)
Frank Dellaert, a doctoral student in Computer
Science, conducts research that concerns the reconstruction
of three dimensional objects and environments from a set of pictures
or video images. "I believe computer vision will become
an increasingly visible application for current-day multimedia compute
rs, and there is a lot of interest in the industry to gain an edge
in this domain," says Dellaert.His research uses the language
of probablities and tools for probabilistic inference to solve for
the 3D reconstruction and the correspondences simultaneously. This
greatly extends the range of situations for which one could obtain
3D reconstructions, without having to resort to manual intervention,
as is commonly done now. After graduation, Dellaert plans to look
at faculty positions at research universities and industry research
labs that have a strong computer vision group or are in the process
of building one.
Jovan Popovic, also a doctoral student
in Computer Science, is working to develop and improve computer
animation techniques to make animation an accessible form
of expression for everyone. For his thesis, Popovic is developing
a method that provides a direct, intuitive control of physical simulations.
Instead of having to specify the physical parameters, the animator
can specify how the motion should look, such as sketching out the
desired look, and the system automatically computes a realistic
motion that has the desired look.
Like Popovic, Jeff Smith, a Ph.D student
in Robotics, is also focusing on physically-based
computer animation. Specifically, he is studying human and
animal motion synthesis, such as generating walking, running and
other kinds of motion for arbitrary, animator-specified, creatures
(which may or may not be actual animals). After graduating; Smith
is planning on applying for post-docs, both here in the US and in
other countries, in the areas of computer animation and electronic/new-media
art.
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