Fady Alajaji, P. Eng.
Research Interests
Keywords
: Information theory, joint source-channel coding,
digital communications, error-control coding,
data compression, applied probability.
My research interests belong to the general area
of information and communication theory. More specifically,
I am interested in the coding of information-bearing signals
for transmission over noisy communication channels. This problem
is addressed at two levels: One objective is to understand and
investigate the Shannon theoretic aspect of this problem --
i.e., to determine the
fundamental limits
of how efficiently one can encode information and still
be able to recover it with negligible loss. Another
vital objective is to develop new techniques that are appropriate
for current and near-term developing technologies -- e.g.,
achieving reliable transmission of multimedia signals over wireless
networks. Current research activities can be divided into two areas:
- Information Theory:
Properties of information measures and their operational
characterizations for systems with memory;
information spectrum techniques;
Shannon coding theorems, source and channel coding;
error probability, cutoff rates and reliability function;
capacity and capacity-cost function;
feedback capacity of channels with memory; two-way networks;
information hiding;
analysis and modeling of channels with memory,
burst-noise channels, finite-state channels,
contagion-based channels, modeling of correlated fading channels;
bounds on the probability of a union and applications to
the error analysis of communication systems;
stochastic analysis of network epidemics.
- Joint Source-Channel Coding:
Channel optimized vector quantization;
bandwidth efficient source-optimized channel codes;
applications to wireless communications and sensor networks;
source-channel signal mapping and modulation;
maximum a posteriori joint source-channel decoding;
Turbo codes, low-density parity-check codes and iterative decoding;
hybrid digital-analog signaling and source-channel coding;
multiple-input multiple-output
channels and space-time coding; compressive sensing;
applications to multimedia processing and communications.
Research Publications
Biography
Teaching
Undergraduate Students
Graduate Students
Post-Doctoral Fellows
Event Organizations
and Committees
Communications and Signal Processing Lab
Math. & Eng. Communications Group