Privacy, Inference and Communications Laboratory
(Π-CoLab) is a diverse group of interdisciplinary researchers bridging the gamut between theory and
privacy and security (Project 1), information theory (Project 2),
wireless communications (Project
3 and Project 4),
and learning theory (Project 5).
We are hiring!
Multiple Ph.D., M.Sc., and undergraduate research
positions with financial support are available.
Prospective students are encouraged to read about ongoing projects on this website and send an email
This project which focuses on quantifying internet users' privacy risks is a
collaborative effort between
FIU's Π-CoLab, NDSU's CS Department,
NYU Wireless and NYU
CCS. The project is supported by NSF grant #CCF-1815821
titled `An Information Theoretic Framework for Web Privacy'. Recent significant contributions
, , and .
Wireless Communications: This project focuses on wireless communications, and consists of two
subprojects, i) energy efficient communication over millimeter wave
networks, and b) resource allocation in cellular systems. Recent significant contributions
include  and .
Multiterminal Information Theory: This project studies the
fundamental limits of
communication over networks. This is a collaboration between FIU's Π-CoLab and University of Michigan's
EECS Department We consider distributed data storage as well
as data transmission over
interference and broadcast channels. The project is supported by NSF grant #CCF-2132843
titled `A New Paradigm for Distributed Information Processing, Simulation and Inference in Networks: The
Promise of Law of Small Numbers'. The contributions are summarized
in a recently published book . Other
more recent contributions include  and .
Feature Selection and Function approximation: This project constructs practical
feature selection and function approximation algorithms with applications in
machine learning and pattern recognition and derives
the fundamental limits of feature selection in terms
of classification accuracy. The project builds upon prior work in
 and .