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  <title><![CDATA[Jeff Wu's Vision of World-Class Statistic's Program in ISyE Realized]]></title>
  <body><![CDATA[<p>Recognized as an icon in the field of engineering
statistics, Jeff Wu, professor in the H. Milton Stewart School of Industrial
and Systems Engineering (ISyE) and Coca-Cola Chair in Engineering Statistics,
has galvanized ISyE"s statistics group since coming to Georgia Tech in 2003 and
has strategically drawn to the program some of the most talented young
statisticians and PhD students in the world.&nbsp;</p>

<p>”You couldn’t write a case
history or a template much better in terms of how you can create a program and
enhance it any better than by following the recipe that Jeff did, “states R.
Gary Parker, ISyE professor and associate chair for graduate studies. “But through
the strength of his own personality, will, and established reputation, Jeff put
it together, and this is what you get.”</p>

<p>What Georgia Tech has gotten is the elevation of ISyE’s engineering
statistics program to world-class standing as evidenced by an extraordinary
five National Science Foundation (NSF) CAREER awards among the first five
faculty Wu hired into the existing program. </p>

<p>Wu joined the Georgia Tech faculty following
a search initiated by then ISyE chair Bill Rouse. With an unfilled Coca Cola
chair in 2001, Rouse queried a lot of the ISyE faculty, asking them if they
could hire only one senior, well-known person in any area, where would it make
the most difference. “The notion,” explains Rouse, “was to pick a group where
we could invest and rapidly advance their credibility.” And the consensus was
statistics. </p>

<p>A member of the National Academy of
Engineering and former head of the statistics program at the University of
Michigan, Wu is a well-known entity in engineering statistics, and he had a
very clear vision of what he wanted to do once he got here. </p>

<p>Coming to a school strong in science and
engineering, Wu wanted to build statistics research that would allow for
interaction and collaboration with engineers and scientists and information
technology. He envisioned a diversified faculty where every member of the
statistics group would collaborate and do joint work with other groups across
disciplines.</p>

<p>“I was given a mandate,” Wu explains, “to try
something no one had tried before, namely building a strong statistics and
quality program within engineering.”</p>

<p>To fulfill that mandate, Wu asked for and was
granted five assistant professor slots to be filled one a year over five years.
Using his network of professional colleagues internationally allowed Wu to get
to know some of the people he brought in before he hired them and to a level of
depth where he could identify significant talent. </p>

<p>Within three years, Wu had filled the five
positions, hiring Roshan Joseph Vengazihiyil, Ming Yuan, Nagi Gebraeel, Yajun
Mei, and Nicoleta Serban, all of whom have received the NSF CAREER Award. </p>

<p>&nbsp;“These CAREER awards are
kind of rare to begin with, “explains Chip White, H. Milton and Carolyn J.
Stewart Chair and Schneider National Chair in Transportation and Logistics .“To
have the insight to be able to identify junior faculty capable of successful
CAREER award winners is phenomenal.”</p>



<p>But, White points out that significant talent
can flounder unless it is properly mentored, and according to his colleagues,
Wu is the consummate mentor. Wu deflects that credit, pointing instead to the
Georgia Tech, College of Engineering and ISyE environments as well as the
students themselves and their work. Nonetheless, Wu has worked incredibly hard
to take the talent he was able to identify and turn them into really remarkable
researchers. “He’s definitely tilted the playing field in their favor,” White
states, “and that is what we want to do for young faculty.” &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; According to both White and Parker, Wu also
understands that the right environment for high-quality faculty includes
high-quality PhD students. To be able to execute his vision, Wu would need to
play a role in identifying good potential doctoral students and recruiting at
that level as well. </p>

<p>“They go hand in hand, “ adds White.
“High-quality faculty, high-quality doctoral students. The combination, if
everything goes well, results in some really terrific synergies.” </p>

<p>Working closely with Parker, Wu has been able
to attract to ISyE’s statistic’s program PhD applicants from around the world
despite ISyE not yet having a dedicated PhD degree in statistics. Statistics is
a specialization within Industrial Engineering (IE), and PhDs are awarded in
IE. Though there is conversation about establishing a PhD in statistics, a few
years away at best, one does not currently exist. That fact has not discouraged
some of the best candidates from applying to Georgia Tech. And Wu has been very
effective at making sure the statistics program is recognized. According to
White, Wu has been very good in that regard because he is so well-connected. &nbsp;</p>

<p>And that has paid off. &nbsp;Tirthankar Dasgupta, who received his PhD in
2007 and is now assistant professor in the department of statistics at Harvard,
cites two reasons for his decision to come to ISyE, the first being “the
opportunity . . . to work under the supervision of Professor Jeff Wu, a true
icon in the field of engineering statistics, and second, the fact that this was
the top-ranked Industrial Engineering department in America having several
eminent scholars amongst the faculty.”</p>

<p>With his most recent hire of Kobi Abayomi,
Wu’s program has grown to fourteen (not counting the group of seven or eight
probabilists in ISyE), which rivals the size of stand-alone statistics
departments at other universities. And the boundaries in Wu’s program are very
clear. “Of all the sub disciplines in ISyE,” states Parker, “it is probably the
nearest sub group that really exists in a very, very defined way.” For the most
part, the professors in ISyE’s statistics program teach only in statistics, and
they attract students who come directly to work with them in terms of PhDs. “So
it is extraordinary to have a group that has all the credentials, has the
numbers, and the extraordinary stature of a stand-alone statistics department.”&nbsp; </p>

<p>From an historical perspective, Parker
explains that over the years, there had been several task-force level efforts
put together to look into establishing a stand-alone statistics department at
Georgia Tech, but those efforts never led anywhere. Ultimately, there were two
units on campus that covered the interests in statistics: the school of
mathematics and ISyE. Over time, however, a shift started to occur where the
staffing of statistics started to draw down in math as interest in ISyE went in
the other direction. </p>

<p>It was becoming clear that ISyE
had a lot of interest with PhD applicants who had very serious statistics
backgrounds and wanted more applied statistics. “We had some young
statisticians that had just been hired,” says Parker, “a couple of senior
people who were coming more from the culture of statistics. Their PhDs were in
statistics from some of the top programs in the country (e.g.,
Wisconsin).”&nbsp; So, the signs were there,
but there still hadn’t been a big commitment, and that is where Wu entered in.</p>

<p>Parker says that he thinks it would be
completely fair to say that Wu changed the dynamic, changed the culture. “He
went after young people who he hand-picked and just kicked it up a whole
different notch from where it had been, “ Parker explains, adding that he’s
pretty sure that there is no place with ISyE’s reputation that exists this way.
</p>

<p><strong>“</strong>Georgia Tech is possibly the only place where the statistics
program is within the school of industrial engineering.” states Roshan Joseph
Vengazhiyil, associate professor and one of Wu’s five initial hires. This is attractive
to Vengazhiyil because his research interests are in engineering statistics. “I
felt that my efforts would be most appreciated in this place.” For Vengazhiyil,
working within an engineering school rather than in a department of statistics
gives him better exposure to the latest developments and trends in engineering
and provides him better opportunities to collaborate with the engineers.</p>

<p>And that collaboration was part
of Wu’s vision, which is being realized. The tentacles that spread out from
Wu’s group vis a vis research activities strengthen that bond within ISyE and
across campus. Examples of its success include Nicoleta Serban’s collaboration
with Bill Rouse and the Tennenbaum Institute on health care, Yajun Mei’s
collaboration with the Georgia Tech Research Institute on indoor air quality, Ming
Yuan’s revolutionary bioinformatics techniques to successfully address
questions related to aging and diabetes and Nagi Gebraeel’s new degradation lab
in the Manufacturing Research Center. White reflects that these links into other
departments help ISyE extend its contribution to another school, and vice versa.
“That helps to promote the synergies that you want to see in a university.”</p>

<p>And Parker agrees that ISyE’s program
is often recognized as the statistics program for Georgia Tech. When other
schools have a statistics issue, they frequently come to ISyE for that, and the
Institute Graduate Committee, on which Parker served for years, is likely to refer
petitioners to ISyE if they are proposing a statistics course that duplicates
what is already being taught there. In fact, Parker states, the committee has often
said, “’You have a stat department in engineering; it’s called ISyE.’ And
that’s a very powerful thing.”</p>

<p>For a full listing of the
Statistic / Quality Group faculty, the breadth of their research and the scope
of their work, visit their website at <a href="http://www2.isye.gatech.edu/statistics/index.php">http://www2.isye.gatech.edu/statistics/index.php</a>.
</p>]]></body>
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      <value><![CDATA[<p>Recognized as an icon in the field of engineering
statistics, Jeff Wu, professor in the H. Milton Stewart School of 
Industrial
and Systems Engineering (ISyE) and Coca-Cola Chair in Engineering 
Statistics,
has galvanized ISyE"s statistics group since coming to Georgia Tech in 
2003 and
has strategically drawn to the program some of the most talented young
statisticians and PhD students in the world.</p>]]></value>
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            <title><![CDATA[Seated: Jeff Wu. Standing (left to right): Yajun Mei, Ming Yuan, Nicoleta Serban, Roshan Joseph Vengazihiyil, and Nagi Gebraeel.]]></title>
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            <title><![CDATA[Jeff Wu, professor in the H. Milton Stewart School of Industrial and Systems Engineering and Coca-Cola Chair in Engineering Statistics]]></title>
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      <value><![CDATA[<p><a href="mailto:barbara.christopher@isye.gatech.edu"><strong>Barbara 
Christopher</strong></a><br />Industrial and Systems Engineering<br /><strong>404.385.3102</strong></p>]]></value>
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