My research
focuses on creating technologies that can
efficiently extract useful information from any
data without sacrificing privacy or
security. I have been working on security
and privacy issues raised by data mining and
machine learning, privacy issues in social
networks, security issues in databases, privacy
issues in health care, applied cryptography for
data security, risk and incentive issues in
assured information sharing, use of data mining
and machine learning for fraud detection, botnet
detection and homeland security. Recently, I
have been focusing on security, accountability
and privacy issues in machine learning, and
using blockchains for assured data 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
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
- Vibha
Chandramouli Belavadi (co-advised by Prof.
Thuraisingham)
- Mestan Celik
Firat
- Harsh
Bimal Desai
-
Mustafa Safa Ozdayi
- 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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