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.
Please visit UTD
Data Security and Privacy Lab's web page
for more details related to our research and
publicly available software.
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:
ABC News, GenomeWeb,
ACM News, Network
Huffington Post, Dallas
Morning News, KDAF-TV Channel 33(1)(Social
network privacy related), KDAF-TV
33 (2) (CyberStalking related), CBS
Some of the conferences that I am
and historical info, please see my NSF Style [CV]
information, please visit the following page [Publications].
Purdue University West
Lafayette, Indiana, USA
Science, Advisor: Chris Clifton, August 2005
Certificate in Applied Statistics, May 2005.
Computer Science, May 2002.
METU Ankara, Turkey
B.S., Computer Engineering with
Minor in Finance, June 2000
For information on courses that
I teach, please visit the following web
Current Ph.D. Students
Chandramouli Belavadi (co-advised by Prof.
- Mestan Celik
Mustafa Safa Ozdayi
- Chengen Wang
I had chance to work with many talented
students over the years. Please visit the
following page for Alumni information [Alumni].