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The data that can be easily extracted from people’s online social networking activities could be either a blessing or a curse, says a UT Dallas researcher. On the one hand, an analysis of people’s interactions could improve public policy, helping city planners, for example, determine optimal locations for public health clinics. But on the other hand, you could have your identity stolen and your savings account wiped out after sharing seemingly innocuous details about yourself. These are the sorts of things Dr. Murat Kantarcioglu is exploring. In the early stages of his research, he’s asking questions such as whether details of your Facebook user profile and friendship links can be used to accurately predict your political affiliation. (Yes, according to his results.) Another question is whether a prospective employer could use your information to try to predict whether you would make a good employee.
UT Dallas computer scientist Murat Kantarcioglu has received a $400,000 award from the National Science Foundation Early Career Development Program, which is a highly selective program for junior faculty who are considered likely to become leaders in their field. The award will fund a five-year effort to develop privacy-preserving technologies that could open the door to the widespread use of e-health and e-government applications. “The CAREER program is one of the most competitive programs at NSF, and Murat’s award is a recognition of the excellence of his research and his potential to become a top national researcher,” said Mark Spong, dean of the Erik Jonsson School of Engineering and Computer Science and holder of the Lars Magnus Ericsson Chair in Electrical Engineering.
A new $1 million grant is intended to help ensure the privacy of each person whose information is included in increasingly vast banks of genomics data, according to a UT Dallas computer scientist. The greatest potential for genomics-related medical advances lies in analyzing enormous combined stores of genomics data that may have originated from dozens of institutions and research studies, according to Dr. Murat Kantarcioglu, an assistant professor of computer science at UT Dallas. Such work could ultimately enable health care to be personalized to each patient’s genome. “But the availability of such databanks for widespread use is contingent on protecting the anonymity of the individuals who correspond to the shared records,” said Kantarcioglu, co-investigator on the project based at Vanderbilt University. “Though policy and technical approaches for biomedical records privacy exist, they are inappropriate for environments that consolidate records from multiple organizations.”
Dr. Murat Kantarcioglu, a professor of computer science in the Erik Jonsson School of Engineering and Computer Science, recently received the Technical Achievement Award in Intelligence and Security Informatics (ISI) from the Institute of Electrical and Electronics Engineers (IEEE). The award, announced at the recent IEEE ISI 2017 conference in Beijing, recognized Kantarcioglu’s outstanding research contributions to data security and privacy. A previous NSF CAREER Award winner, Kantarcioglu directs UT Dallas’ Data Security and Privacy Lab. His research focuses on efficiently extracting information from big data without sacrificing privacy or security.
2007 Program Committee,10th Asia-Pacific Web Conference (APWeb'08)
2007 Program Committee, 24th International Conference on Data Engineering, (ICDE 2008)
2007 Program Committee, 9th International Conference on Data Warehousing and Knowledge Discovery (DAWAK) 07
2007 Program Committee, First ACM SIGKDD International Workshop on Privacy, Security, and Trust in KDD (PinKDD'07)
2007 Program Committee, Twenty-Second AAAI Conference on Artificial Intelligence (AAAI-07)
2006 Proposal Reviewer, Kentucky Science and Engineering Foundation (KSEF)
2006 Program Committee, International Workshop on Privacy Aspects of Data Mining (PADM'06)
2006 Program Committee, IEEE International Conference on Data Mining, (ICDM 06)
2006 Program Committee, 8th International Conference on Data Warehousing and Knowledge Discovery (DAWAK) 06
2005 Program Committee, European Conf. on Principles of Data Mining and Knowledge Discovery (PKDD) '05
2005 Proposal Reviewer, Estonian Science Foundation