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发帖数: 1 | 1 Multiple PhD positions with full financial support are now available (
starting from Fall 2018) with Dr. Cong Liu in the department of Computer
Science at UT-Dallas.
Dr. Liu’s research focuses on the areas of Real-Time Systems, GPGPU, and
Data-driven Cyber-Physical Systems. According to www.csrankings.org, UT-
Dallas is ranked No. 8 nationally in the general area of embedded & real-
time systems due to Dr. Liu’s contribution. His supervised PhD students are
publishing at top conferences such as RTSS and RTAS, and interning at
industry research labs including IBM T.J. Watson research center and HuaWei-
US research laboratory. His graduated students are now working in famous
companies, such as IBM and Amazon.
Recently, several of his PhD students got awards such as the Outstanding
Paper Award at RTSS’17 and the Top 10 Papers at INFOCOM’17. His research
is funded by both NSF (including the prestigious NSF CAREER award) and
industry. For more information, please visit: http://www.utdallas.edu/~cong
UT-Dallas is a fast-growing Research-I University, located in the heart of
Dallas area, Texas. Its computer science program is ranked top 70 according
to the latest US news ranking: https://www.usnews.com/best-graduate-schools/
top-science-schools/computer-science-rankings/page+4. Admitted PhD students
will receive rather competitive stipend at UT-Dallas CS (over $2000 per
month, considering there is no state tax in Texas and the relatively low
living cost in Dallas area).
There are currently three general projects to be worked on:
1. Predictable GPGPU computing, e.g., how to ensure predictable and timely
processing of DNN workloads in autonomous driving systems adopting GPU-
accelerated platforms such as the NVIDIA Drive PX2?
2. Real-time multicore resource management, e.g., how to design efficient
scheduling algorithms whose timing correctness can be analytically
verifiable on the current and future complex heterogeneous multicore
platforms?
3. Data-driven design of cyber-physical systems, e.g., given access to real-
world datasets on ShenZhen’s electric taxi fleets or Beijing’s Mobike bike
sharing systems, how to identify potential shortcomings of current system
design through mining and analyzing the dataset, and then develop smarter
and practical solutions accordingly?
Dr. Liu is particularly interested in working with both 'provers' and '
hackers' (i.e., strong theory-inclined students and strong systems students)
, as you may tell from the above-mentioned three research projects that
require different expertise. If you are interested in working together,
please send your resume, transcripts, and everything else (e.g., sample
publications or open source contributions) that you believe will help your
application as attachments in a single email to:[email protected] |
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