- Research
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The amazing progress in microelectronics circuit
integration density gives the possibility of integrating massive
arrays of devices. Moreover, the advent of nanotechnology will assure
the current rate of density increase in the following decades.
Therefore, it becomes a necessity to develop large scale
computing architectures. In this specific subject, I am working on
parallel computing paradigms that include Cellular Automata and
Cellular Neural Networks (CNN). My current research focuses on CMOS
efficient implementation of CNN for imaging applications. This includes
mainly the so-called Simplicial-based CNN (S-CNN). We have
developed a first prototype in 0.5um technology; future research
includes higher density designs using more sophisticated
technologies. Image Gallery of the S-CNN
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The objective of this project is the design of
a full- system
low-power integrated circuit to localize acoustic targerts.We have
designed several prototypes in different technologies. We have shown
that an accuracy of 1 degree can be reached with 15uA at 3V.
Sensor Networks provide
a way to measure an environmente, whether natural, urban or
industrial, to collect information and take decisions upon them. We
are developing low-power interfaces, sensors and systems for a variety
of applications that are of particular interest in Argentina, for
example: urban acoustic contamination, cargo tracking, early fire
alarms in forests, security and surveillance in farms and closed
scenarios, precise agriculture, etc.
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Nonlinearities are present in the majority of
real life applications, and they often pose a serious challenge to
design engineers. Techniques for the treatment of linear systems are
widely known and have been widely studied. In contrast, techniques for
nonlinear systems are not that well developed and only apply to
particular cases. Piecewise-Linear functions provide a way to
accurately approximate a nonlinear function with a collection of
linear functions, each of them valid in a particular region of the
domain space. In this way, techniques originally designed for linear
systems can be extended to nonlinear systems. My interests on PWL functions are related
to the theory of canonical representations, numerical methods for
the approximation of nonlinear functions and high-speed CMOS circuits
for nonlinear control and processing.
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This year, UMC
has already delivered its 90nm CMOS process (gate lenght app. 50nm, 1V)
and TSMC will do the same in
next months. Intel
is actually producing 70nm gate length transistors commercially, and
has prototypes of 15nm gate length under testing. This reduction trend
in CMOS technology is expected to continue roughly until 2016,
according to the predictions of the International
Technology Roadmap for Semiconductors. Due to this, a whole
spectra of emerging devices and technologies are being studied.I have been exploring implementations of the S-CNN using
Resonant Tunneling diodes (RTD) devices and memories.
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