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WWW.SEAS.UPENN.EDU<br />
SCHOOL NEWS<br />
New Faculty<br />
Igor Bargatin<br />
Class <strong>of</strong> 1965 Term Assistant Pr<strong>of</strong>essor <strong>of</strong><br />
Mechanical <strong>Engineering</strong> <strong>and</strong> <strong>Applied</strong> Mechanics<br />
Ph.D. in 2008 in Physics <strong>and</strong> Electrical <strong>Engineering</strong>,<br />
California Institute <strong>of</strong> Technology<br />
Postdoctoral Fellow at Stanford University<br />
Dr. Bargatin’s research interests are focused on micro- <strong>and</strong><br />
nanoelectromechanical systems (MEMS/NEMS) for new<br />
applications in energy conversion, optics <strong>and</strong> smart<br />
materials. He applies his knowledge <strong>of</strong> physics <strong>and</strong><br />
engineering disciplines to design <strong>and</strong> test new types <strong>of</strong><br />
devices, such as micr<strong>of</strong>abricated <strong>the</strong>rmionic energy<br />
converters, which convert heat directly to electricity at very<br />
high temperatures by literally boiling electrons <strong>of</strong>f a surface<br />
<strong>and</strong> using <strong>the</strong>m as a “working fluid” in a heat engine. The<br />
Bargatin Group engages in interdisciplinary research at <strong>the</strong><br />
intersections <strong>of</strong> mechanical engineering, electrical<br />
engineering, materials science <strong>and</strong> applied physics.<br />
Joseph Devietti<br />
Assistant Pr<strong>of</strong>essor <strong>of</strong> Computer <strong>and</strong> Information Science<br />
Ph.D. in 2012 in Computer Science & <strong>Engineering</strong>,<br />
University <strong>of</strong> Washington<br />
Sequential programming has become steadily safer <strong>and</strong> easier<br />
over time, but parallel programming, despite its importance<br />
with today’s ubiquitous multicore processors, has made much<br />
more limited progress. Dr. Devietti works on identifying new<br />
safety properties for parallel programs, precisely defining <strong>the</strong>ir<br />
guarantees <strong>and</strong> exploring efficient implementations employing<br />
a range <strong>of</strong> hardware <strong>and</strong> s<strong>of</strong>tware mechanisms. A recent<br />
project demonstrated how to automatically <strong>and</strong> precisely<br />
identify concurrency bugs in parallel programs. Dr. Devietti<br />
has also conducted research showing how to simplify parallel<br />
programming by automatically eliminating <strong>the</strong> nondeterminism<br />
that arises from current multicore architectures <strong>and</strong><br />
programming models. With nondeterminism removed, parallel<br />
programs behave like conventional sequential programs that<br />
are much easier to write, debug <strong>and</strong> underst<strong>and</strong>.<br />
SPRING 2013 n 34