Lalitha Sankar received the best paper award from the IEEE Globecom 2011
for her paper on side-information privacy
with R. Tandonand H. V. Poor. For
her doctoral work, she received the 2007-2008 Electrical Engineering
Academic Achievement Award from Rutgers University.
Research Interests
My research
interests include:
Information Privacy in
Large Datasets (Databases), Smart Grid, Healthcare Records, Social
Networks
Information Secrecy in
Wireless Networks
Network Information
Theory
Relaying and
User-Cooperative Communications
Resource Allocation
for Wireless Networks
Cooperative
Game Theory as applied to Wireless Networks
Recently
my work
has focused on developing an information-theoretic framework to study
the
utility (benefit) and privacy (of individual information) in
databases. I was awarded a three year
NSF grant for this work along with Prof. H. Vincent Poor (NSF
CCF 1016671). I have also extended the framework developed in
this work to study distributed estimation with privacy constraints
(competitive
privacy) in the smart grid and privacy of streaming data from smart
(electric/water/gas)
meters and mobile patient telemetry data. The modeling of these
problems has
led to new research topics in source coding with and without privacy
constraints and new models for streaming time-series data.
My
interests also include theoretical performance limits for a
variety of communication
problems. Specifically I have studied the problem of optimal resource
allocation in multi-terminal relay and interference networks,
information-theoretic security of wireless networks, capacity-achieving
communication schemes for relay networks, and applying cooperative game
theory
to determine the conditions under which interfering wireless users are
likely
to cooperate.
Teaching
One of my
responsibilities as a Princeton CST Fellow was to teach an
undergraduate course
every year, preferably to non-science majors. I proposed to introduce
and teach
a new course under the umbrella of the Princeton Freshman Seminar
Series with
the aim of introducing the fundamental ideas of entropy, compression,
and
coding, that were developed by Claude Shannon and are the heart of the
information revolution.