Contact information
barondror AT gmail DOT youfigureitout
New
-
D. Baron,
S. Sarvotham,
and R. G. Baraniuk,
"Bayesian Compressive Sensing via Belief Propagation,"
accepted to IEEE Transactions on Signal Processing
(pdf).
-
Recent presentation on representation and compression of multi-dimensional
piecewise functions (ppt).
Profile
My undergraduate studies were in the
Electrical
Engineering Department
at the Technion -
Israel Institute of Technology
where I belonged to the Technion's
Program for Outstanding Students.
Following my graduation, I designed hardware modems at
Witcom, an Israeli startup
specializing in broadband wireless communication.
At the same time I pursued my M.Sc., also at the
at the Technion.
In 1999 I joined the
Department of Electrical and Computer
Engineering
and the
Coordinated Science
Laboratory
at the
University of Illinois at
Urbana-Champaign,
where I completed my Ph.D. in 2003.
During the Spring 2003 semester, I was a visiting assistant
professor at Illinois, and taught an image/video processing class.
From 2003 to 2006, I was a postdoctoral research associate in the
Department of Electrical and Computer
Engineering at
Rice University,
where I worked with the
Digital Signal Processing
and
Compressed Sensing
research groups.
From 2007 to 2008 I was a quantitative research analyst
with Menta Capital.
I am now a visiting scientist in the
Electrical
Engineering Department
at the Technion.
My research tackles problems in various application
domains where vast amounts of data must be processed effectively
and rapidly in order to extract useful information. I call this
computational information processing.
To approach these multi-disciplinary problems, I combine tools
from information theory,
signal processing, machine learning, and theoretical
computer science. Specific problems lie in areas such as
signal processing, communication systems, distributed systems,
networks, and finance.
While my M.Sc. research was in networks, during
my Ph.D. I focused on
parallel algorithms for lossless data compression.
The highlight of my postdoctoral work was
compressed sensing (CS),
an emerging field that provides revolutionary new ways to process
sparse signals using limited resources.
More specifically, I worked on
distributed
multi-sensor CS and
information theoretic
performance bounds on compressed sensing performance.
My financial research at
Menta Capital
employed ideas from these areas to develop novel investment algorithms.
At the Technion,
I am working with
Tsachy Weissman
on problems involving rate distortion theory.
Research
Links to webpages that describe several of my research directions.
Additional links
This page is under constant revision!!!
(last updated
)
