Prof. Cherif Chibane of New Jersey

Communications systems have made tremendous progress over the past 50 years. They have
evolved from one function device that can transmit and receive a very low-quality audio to
support very high-fidelity voice, high speed data for video and soon virtual reality. Software
Defined radio has played a major role in this extraordinary evolution. Currently Software
Defined Radio is at the heart of the revolution from IoT to very wideband systems used on land,
in space and outer space communication.
Software Defined Radio places much or most of the complex signal processing involved in
receivers and transmitters into the digital domain.  In its purest form, and SDR receiver might
consist simply of an analog-to-digital convert chip connected to an antenna.  All the filtering and
signal detection can take place in the digital domain such as FPGA and GPP. Currently AI/ML
learning are starting to replace all the processing elements and functions and will open what is
undoubtedly a very exciting future in communications.
This talk will present a practical view that covers the evolution of SDR, cognitive radio to
configurable systems of today. In addition, future research will be presented.

Biography:

Prof. . Chibane has more than 35 years in the research and development of
configurable and Cognitive radios for communication. He was part of a
group that originally performed the early experiments of SDR.
Prof. Chibane is a Lecturer, Research Scientist, Technologist and
Entrepreneurs with more than 30 years of experience in advanced
technology development for NASA, DARPA and major government
laboratories in the US. He is currently the founder and chief scientist of
AuresTech, which performs research for the aerospace industry in the
US. Previously, he was a research scientist at MIT- Lincoln Laboratory
and Draper Laboratory where he led research in advanced space

communications, as well as in aerospace in guidance and navigation.
Prof. Chibane was one of the early adaptors of FPGA processing and his research now includes
the application of configurable computing to Artificial Intelligence (AI) and Machine Learning
(ML). He is a former adjunct professor at Fairleigh Dickinson University where he lectured on
advanced engineering topics and mentored and advised students at the undergraduate and graduate levels.

Email:

Address:United States