|
The Laboratory
for Information
and Decision
Systems (LIDS)
is an interdepartmental
laboratory
within MIT's
School of
Engineering
dedicated
to advancing
the fields
of systrms,
communication,
signal processing
and control.
LIDS is staffed
by faculty,
research scientists
and graduate
students primarily
from the Department
of Electrical
Engineering
and Computer
Science, the
Department
of Aeronautics
and Astronautics
and the School
of Management.
Reseach opportunities
are available
at LIDS for
both graduate
and undergraduate
students.
Presently LIDS has 17 full-time
faculty members, a professional
staff consisting of 2 research
scientists, 10 post-doctoral
associates, 30 research
affiliates, visiting scientists
and scholars, and approximately
100 graduate students from
several departments contributed
to the research projects
carried out at LIDS.
LIDS emphasizes
basic knowledge
as the foundation
for innovation.
Underlying
each area
of research
is the idea
that the best
way to solve
a probe lm
is to understand
its fundamentals
thoroughly
in order to
approach it
in the most
effective
way. The Lab
encourages
its students
to think creatively,
to take risks,
to pursue
curiosity-driven
activities
and to work
on a diverse
array of problems.
In the words
of one LIDS
alumnus: "The
approach in
LIDS is to
understand
the core of
any probe
lm, and to
develop tools
and ideas
necessary
in achieving
this understanding.
The abilities
and perspectives
developed
through the
LIDS experience
transcend
any specific
application,
and as such
are of lasting
value and
transportable
to different
fields. The
accomplishments
of the Lab's
alumni in
industry and
academia in
a broad range
of fields
are evidence
of the value
of its approach."
The core
areas of study
are:
Communications
and Networks
Research
in this area
includes fundamental
work on networks,
information
theory and
communication
theory. The
work extends
to applications
in satellite,
wireless and
optical communications,
and data networks.
The objective
is to develop
the scientific
base needed
to design
data communication
networks that
are efficient,
robust and
architecturally
clean. Wide-area
and local-area
networks,
high-speed
networks,
and point-to-point
and broadcast
communication
channels are
of concern.
Topics of
current interest
include network
architectures
at all layers;
power control;
multiple antenna
techniques;
network coding;
media access
control protocols;
routing in
optical, wireless
and satellite
networks;
quality of
service control;
failure recovery;
topological
design; and
the use of
pricing as
a mechanism
for efficient
resource allocation.
Control
and System
Theory
The
control
systems
group deals
with problems
related
to complete
systems
analysis
design.
These include
learning
and system
identification,
controller
design and
optimization,
and analysis
of phenomena
resulting
from large-scale
systems.
Theoretical
research
quantifies
the fundamental
limitations
and capabilities
of learning
and feedback
control
for various
classes
of systems
in the presence
of dynamic
uncertainty.
Application-oriented
work includes
control
architectures
for single
and multiple
unmanned
aerial vehicles
and controllers
for piloting
epitaxy
in semiconductor
manufacturing.
The control
group is
also involved
in a research
effort focusing
on modeling
he nervous
system,
conducted
in collaboration
with other
laboratories.
Optimization
Work
in this
area looks
at analytical
and computational
methods
for solving
broad classes
of optimization
problems
arising
in engineering
and operations
research.
It has applications
in communication
networks,
control
theory,
power systems
and computer-aided
manufacturing.
In addition
to traditional
subjects
in linear,
nonlinear,
dynamic,
convex and
network
programming,
there is
an emphasis
on the solution
of large-scale
problems,
including
the application
of neurodynamic
programming
methods.
Statistical
Signal
Processing
This group
analyzes complex
systems, phenomena
and data subject
to uncertainty
and statistical
variability.
Research spans
the spectrum
from broadly
applicable
basic theory,
methodologies
and algorithms
to challenging
applications
in a broad
array of fields.
Recent applications
for this research
include multisensor
data assimilation
for oceanography;
hydrology
and meteorology;
biomedical
image analysis;
object recognition
and computer
vision; and
coordinated
sensing and
processing
of large,
distributed
arrays of
microsensors.
Research
staff are
listed on
the LIDS homepage.
Faculty members
associated
with the laboratory
include Professors
D. Bertsekas,
V.W.W. Chan,
M.A. Dahleh,
J. Deyst,
A. Drake,
E. Feron,
R.G. Gallager,
S. Massaquoi,
M. Medard,
A. Megretski,
S.K. Mitter,
E. Modiano,
A. Ozdaglar,
J.N. Tsitsiklis,
A. Willsky,
M. Win, L.
Zheng.
Some
Related
Areas
for UROPs: Electrical
Engineering
and Computer
Science; Aeronautics
and Astronautics & Mathematics.
Further
Information: LIDS
Homepage
-
|
