Professor of Computer Science, University of California at Irvine, CA, USA
ACM SIGMOD test of time award in 2012 for the paper entitled "Executing SQL over Encrypted Data in the Database-Service-Provider Model"
The DASFAA test of time award in 2013 for the paper entitled "Efficient Execution of Aggregation Queries over Encrypted Databases"
Sharad Mehrotra is a Professor in the School of Information and Computer Science at University of California, Irvine and founding Director of the Center for Emergency Response Technologies (CERT) at UCI. He has served as the Director and PI of the RESCUE project (Responding to Crisis and Unexpected Events) funded by NSF through its prestigious large ITR program. He is the recipient of Outstanding Graduate Student Mentor Award in 2005. Prior to joining UCI, he was a member of the faculty at University of Illinois, Urbana Champaign in the Department of Computer Science where he was the recipient of the C. W. Gear Outstanding Junior Faculty Award. Mehrotra has also served as a Scientist at Matsushita Information Technology Laboratory immediately after graduating with a Ph.D. from University of Texas at Austin(1988-1993).
Mehrotra's research expertise is in data management and distributed systems areas in which he has made many pioneering contributions. Two such contributions include the concept of "use of information retrieval techniques, particularly relevance feedback, in multimedia search" and "database as a service". Mehrotra is the recipient of two test of time awards:
In addition, Mehrotra is a recipient of numerous best paper nominations and awards including SIGMOD Best Paper award in 2001 for a paper entitled "Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases", best paper award in DASFAA 2004 for the paper entitled "Efficient Execution of Aggregation Queries over Encrypted Databases", and best paper award nomination in ACM International conference in Multimedia Retrieval, 2013 for the paper entitled "A unifying framework for context-assisted face clustering". Mehrotra's recent research focuses on data quality, data privacy and sensor driven situational awareness systems.
Christopher W. Clifton
Associate Professor of Computer Science, Purdue University, Indiana
Dr. Clifton works on data privacy, particularly with respect to
analysis of private data. This includes privacy-preserving data
mining, data de-identification and anonymization, and limits on
identifying individuals from data mining models. He also works more
broadly in data mining, including data mining of text and data mining
techniques applied to interoperation of heterogeneous information
sources. Fundamental data mining challenges posed by these
applications include extracting knowledge from noisy data, identifying
knowledge in highly skewed data (few examples of "interesting"
behavior), and limits on learning. He also works on database support
for widely distributed and autonomously controlled information,
particularly issues related to data privacy.
Prior to joining Purdue in 2001, Dr. Clifton was a principal scientist
in the Information Technology Division at the MITRE
Corporation. Before joining MITRE in 1995, he was an assistant
professor of computer science at Northwestern University. He has a
Ph.D. (1991) and M.A. (1988) from Princeton University, and Bachelor's
and Master's degrees (1986) from the Massachusetts Institute of