Mehrotra is a Professor in the School
of Information and Computer
Science at University of California,
and Director of the Center for Emergency
Response Technologies (CERT) at UCI. He also serves as the Director and PI of
the RESCUE project (Responding to Crisis and Unexpected Events) which,
funded by NSF through its large ITR program, spans 7 schools and consists
of 60 members. He is associated with the Cal-IT2 institute -- a
multidisciplinary research facility spanning University
of California, Irvine
and University of California,
He is the recipient of Outstanding Graduate Student Mentor Award in 2005.
Prior to joining UCI, me was a member of the faculty at University
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 "database as a service" and "use of information retrieval
feedback, in multimedia search". 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 of VLDB 1994 submissions for a paper entitled "Concurrency Control in Hierarchical Multidatabase System", best paper award in
DASFAA 2004for the paper entitled "Efficient
Execution of Aggregation Queries over Encrypted Databases", best paper award nomination for a paper
A framework for enabling web-based synchronous collaboration and
hierarchical Navigation atHIICS, 1996, and a best student paper award at IEEE
Workshop on Multimodal Sentient Computing: Sensors, Algorithms and Systems
(WMSC 2007) held in conjunction with IEEE CVPR (Computer Vision and Pattern
current research focuses on building sentient spaces using multimodal
sensors, data privacy, and data quality. Mehrotra's
recent research, particularly, in the context of RESCUE & CERT has
focused on situational awareness from multimodal input including
conversational speech data. Many of his research contributions have been
incorporated into software artifacts which are now
in use at various first responder partner sites.
T. Huang, M. Ortgega and S. Mehrotra, "Relevance Feedback: A Power Tool
in Interactive Content-Based Image Retrieval". IEEE Trans. on Circuits and Systems for
Video Technology, Vol. 8, No. 5, Pages 644-655, September,
1998. An early paper
on relevance feedback in image retrieval.
2.K. Chakrabarti, E.
Keogh, M. Pazzani and S.
Adaptive Dimensionality Reduction for Indexing Large Time Series
Databases", ACM Transactions
on Database Systems. TODS 27(2): 188-228 (2002). Winner of IGMOD best paper
3.H. Hacigumus, B.Iyer,
and S. Mehrotra, "Executing SQL over Encrypted Data
in Database- Service-Provider-Models ", ACM SIGMOD 2002 conference. Winner of SIGMOD Test of Time
award in 2012
4.HakanHacigumus, BalaIyer, Sharad Mehrotra. Secure Computation over Outsourced
Data: A 10-Year Retrospective. DASFAA 2014. Invited Paper accompanying the 10 Year Best Paper
Award in DASFAA 2014.
5.Chen Li, Sharad Mehrotra, Liang Jin. Record Linkage: A 10-Year Retrospective.
DASFAA (1) 2013: 3-12. Invited Paper Accompanying the 10 Year
Best Paper Award in DASFAA 2013.
6.S. Mehrotra, C. Butt , D. Kalashnikov,
N. Venkatasubramanian, R. Rao,
G. Chockalingam, R. Eguchi,
B. Adams C. Huyck, Project RESCUE: Challenges in Responding
to the Unexpected, SPIE Internet
Imaging Conference, 2004 ( an early paper addressing the role of IT innovation
in bringing transformation advances tocrisis response )
7.Liyan Zhang, Dmitri
Kalashnikov, Sharad Mehrotra. A
Unified Framework for Context Assisted Face Clustering. 2013 ACM
International Conference on Multimedia Retrieval. Winner of est
8.Dmitri Kalashnikov; Sharad Mehrotra. Domain-independent data cleaning via
analysis of entity-relationship graph, In ACM Transactions on Database Systems (ACM TODS) 2006. ( an early paper
on relational approach to entity resolution)
9.Lazaridis, S. Mehrotra,
Optimization of Multi-version
Expensive Predicates, ACM SIGMOD 2007 (a paper with “unrealized” potential).
Sherlock Project on
novel directions of improving data quality particularly focused on
interactive and progressive data cleaning in the context of big data
analysis and applications.. Sherlock is funded by
NSF Grant 1118114.
Radicle Project on a
risk-based approach to data processing in mixed security environments with
the focus on cloud computing. Radicle is funded by NSF Grant 1118127