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.

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 our recent 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 following 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, Processor.com,  Labmanager.com, Marketsforgood.org

Please also see the conferences that I am involved with. 

Purdue University West Lafayette, Indiana, USA

        Ph.D., Computer Science, Advisor: Chris Clifton, August 2005

        Graduate Certificate in Applied Statistics, May 2005.

        M.S., Computer Science, May 2002.

METU Ankara, Turkey

B.S., Computer Engineering with Minor in Finance, June 2000

• Imrul Anindya
• Aref Asvadishirehjini
• Vibha Chandramouli Belavadi (co-advised by Prof. Thuraisingham)
• Harsh Bimal Desai
• Mustafa Safa Ozdayi