Koray Mancuhan

Graduate Student

Joined department: Fall 2010
Education
MS, Purdue University, Computer Science (2014)
BS, Galatasaray University, Computer Engineering (2010)

Koray is a PhD student in the Department of Computer Science at Purdue University. He is currently a member of the privacy preserving data mining lab under the supervision of Prof. Chris Clifton. His research intersects data mining, cryptography, data privacy and cloud databases. The challenge in his research is the injected uncertainty into data because of anonymization methods or data encryption. In anonymization cases, the uncertainty reduces the performance of data mining models and requires special mechanisms to exploit noisy data. His work focuses on 1) the error bounds and the convergence behavior of classification algorithms with respect to anonymization parameters of the the noisy data 2) the distributed classification of partitioned and partially encrypted data in the cloud databases which respect the Hive/MapReduce architecture.

Koray received his masters degree in Computer Science from Purdue University and his undergraduate degree in Computer Engineering from Galatasaray University. He studied on data mining and social fairness throughout his masters degree, and authored papers in this topic. Before joining to Purdue CS, he did his research in semantic web area. He was a former member of Complex Networks lab in Galatasaray University where he worked on the development of a new automatic web service annotation tool.

Selected Publications
Koray Mancuhan, Chris Clifton, "Decision Tree Classification on Outsourced Data", Data Ethics Workshop in KDD 2014
Koray Mancuhan, Chris Clifton, "Combating Discrimination using Bayesian Networks", Journal of Artificial Intelligence and Law 2014
Koray Mancuhan and Chris Clifton, "Discriminatory Decision Policy Aware Classification", IEEE ICDM 2012 International Workshop on Discrimination and Privacy-Aware Data Mining