My research is
centered on developing technologies capable of
efficiently extracting valuable information from
data without compromising privacy or security.
My work spans various domains, including
addressing security and privacy challenges in
data science and machine learning, social
networks, databases, healthcare, and applied
cryptography for data security. I also delve
into risk and incentive issues in assured
information sharing, as well as employing
machine learning for cybersecurity and homeland
security purposes. More recently, my focus has
shifted towards exploring security,
accountability, fairness, and privacy concerns
in machine learning, along with the application
of blockchain technology for assured information
sharing.
I am the the
recipient of various awards including NSF
CAREER award, the AMIA (American Medical
Informatics Association) 2014 Homer R Warner
Award and the IEEE (Institute of
Electrical and Electronics Engineers) ISI
(Intelligence and Security Informatics) 2017
Technical Achievement Award presented
jointly by IEEE SMC and IEEE ITS societies for
my research in data security and privacy. I am
also a fellow of AAAS (American
Association for the Advancement of Science), and
IEEE, and a distinguished member of ACM.
Please visit UTD
Data Security and Privacy Lab's web page
for more details related to our research and
publicly available software.
In addition,
please see the following
interview for a summary of some of our
research results. More information on cyber
security related activities at UT Dallas, please
see the UT
Dallas Cyber Security Research and Education
Institute web page.
Please also see
the some of the news articles that mention our
research or views on data security and privacy:
Boston Globe,
ABC News, GenomeWeb,
ACM News, Network
World, The
Huffington Post, Dallas
Morning News, KDAF-TV Channel 33(1)(Social
network privacy related), KDAF-TV
Channel
33 (2) (CyberStalking related), CBS
11
TV, Marketsforgood.org
My perspectives on Data-Centric
Cybersecurity (slides).
Some of the conferences that I am
involved with.
CV
For biographical
and historical info, please see my NSF Style [CV]
Publications
Publication
information, please visit the following page [Publications].
Education
Purdue
University, West Lafayette, Indiana, USA
Ph.D., Computer Science, Advisor: Chris Clifton, August 2005
Graduate
Certificate in Applied Statistics, May 2005.
METU,
Ankara, Turkey
B.S., Computer
Engineering with Minor in Finance, June 2000
Teaching
For information on courses that
I teach, please visit the following web
page [Teaching]
Current Ph.D. Students
- Mestan Celik
Firat
- Kunal Mukherjee
(co-advised with Dr. Kangkook
Jee)
- Chengen Wang
Alumni
I had chance to work with many talented
students over the years. Please visit the
following page for Alumni information [Alumni].
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