Dr. Murat Kantarcioglu
University of Texas at Dallas
Mining Big Data without Violating Privacy
About Dr. Kapadia:
Dr. Murat Kantarcioglu is an Associate Professor in the Computer Science Department, and Director of the Data Security and Privacy Lab at the University of Texas at Dallas. Dr. Kantarcioglu's research focuses on creating technologies that can efficiently extract useful information from any data without sacrificing privacy or security. He has published over 100 papers in peer reviewed journals and conferences. His research has been supported by grants from NSF, AFOSR, ONR, NSA, and NIH and has received two best paper awards. He is a recipient of the NSF CAREER award and his research has been reported on in the media, including the Boston Globe and ABC News. He holds a B.S. in Computer Engineering from Middle East Technical University, and M.S. and Ph.D degrees in Computer Science from Purdue University.
The quantity of data that is captured, collected, and stored by a wide variety of organizations is growing at an exponential rate. The potential for such data to support scientific discovery and optimization of existing systems is significant, but only if it can be integrated and analyzed in a meaningful way by a wide range of investigators. While many believe that data sharing is desirable, there are also privacy and security concerns, rooted in ethics and the law that often prevent many legitimate and noteworthy applications. In this talk, I will provide an overview on research regarding how to integrate and mine large amounts of privacy-sensitive data without violating such constraints. In doing so, I will discuss how to incentivize data sharing in privacy-preserving data mining applications. This work will draw upon examples form the biomedical domain and discuss recent research on privacy-preserving mining of genomic databases.