Eric Freudenthal
|
Assistant Professor University of Texas at El Paso Computer Science Department Office: Room 202a Lab: Room 320 234 Hawthorne St.(# 36 on the campus map) El Paso, TX 79902
|
Scheduling a meeting: Since my public calendar is available online, you can select and propose a mutually convenient meeting via email. It's particularly convenient if this invitation is generated by a calendar tool.
I encourage your invitations to include (1) your name, (2)
preferred email address, (3) phone
number and (4) reason for the meeting. It's also a good idea to
suggest alternate times.
I enjoy designing systems that achieve robustness
through adaptation to changing constraints.
My recent focus has been in decentralized systems, including
mechanisms for expressing and enforcing security relationships
among mutually distrustful administrative domains, securely deploying
mobile agents, and the efficient dissemination of on-line content.
My background also includes electrical design, architecture, interprocess
coordination, and computer vision.
My current research is described on multiple web sites.
Educational projects:
Many of my publications are listed on my
publications page.
I collaborated with Michael Freedman and David Mazieres in
the development of CoralCDN, a
locality-sensitive self-organizing content dissemination network.
Coral's indices are stored in a hierarchy of interleaved
distributed hash tables that share the same name space.
Constituent hash tables represent nested ranges of network
locality constraints, and all nodes are members of a global hash table with no
locality constraints. A single Coral node
represents the same hash bucket in multiple hash tables, and searches
prefer to search tables with better network connectivity, and only
revert to tables with inferior connectivity when necessary.
Echoing characteristics of the Ultracomputer's combining
network, Coral dynamically replicates data near to
clients, thereby minimizing hot-spot congestion.
While Coral is not
robust to security challenges, it is expected to
to provide high performance even in the presence of
partial system failure.
More information on this project is available on the Coral home page.
The deployment of and communication among dynamically deployed
software agents requires the
establishment of sustained authorizing trust relationships
between agents and systems that host them, and other agents
with whom they interact. Existing component-based frameworks (e.g.
J2EE and grid) do not
offer appropriate security guarantees for coalition systems
that span multiple mutually-distrustful administrative domains.
We developed
a deployment substrate for mobile agents called
DisCo and a
decentralized role-based access control system called
dRBAC
that incorporated mechanisms for increasing the expressiveness of
transitive credentials to include trust metrics. We also investigated
techniques for aggregating trust along multiple independent
authorization paths.
An extended summary of this work is available
onlne.
Hot spot contention in
combining networks investigated in my research has analogues in other
networked systems. I anticipate that variants of the techniques I
propose to mitigate the impact of hot spot congestion on both hot spot
and non hot spot traffic can be generalized to other networked
systems.
A more complete summary of my dissertation
reseaerch is available online: http://rlab.cs.utep.edu/~freudent/thesisSummary.html.
Additional details are available in
Technical Report TR2003-849. This report and
my full dissertation can be downloaded from the NYU Computer Science Department
web site.
In collaboration with
Ben
Goldberg
and
Davi
Geiger,
I organized the
NYU Recognition Lab,
computational resource available for research in
computer vision as applied to automatic target recognition. The
equipment for this lab was purchased under a grant from
the AFOSR's DURIP program.
The DARPA-sponsored MSTAR effort engaged approximately one hundred
scientists at ten institutions in the construction of an experimental
model-based system to detect and identify targets in SAR (synthetic aperture
RADAR) imagery.
My research contributions included
algorithms for efficient registration
and object identification,
the development of a parallelized
hypothesis evaluation and refinement executive, and
optimizing
template selection algorithms.
Content from prior versions of this web page.
Research
Significant Prior Efforts
2000-2004, I collaborated with Vijay Karamcheti in an investigation of
security needs of
systems deployed into dynamic environments that span a large
number of administrative domains.
As a graduate student supervised by Allan Gottlieb, I investigated
support for scalable
inter-process coordination on shared-memory MIMD systems. My
contributions include detection and analysis of problems in
architectures that implmement hardware combining. I propose design
modifications that significantly mitigate these effects. I also
have contributed centralized algorithms that have
lower synchronization latency than those previously known (and
superior to commonly used alternatives).
I investigated automatic target recognition in imagery collected
using synthetic aperture radar, participating
in several research projects associated with DARPA's
MSTAR model-based vision research program and the AFRL's Model Based Vision Lab. I
collaborated with Lockheed-Martin, Veridian-Erim, Diamondback Vision,
and the University of Cincinatti on the MEP4 project that investigates
identification of partially occluded targets. I also collaborated with
Alphatech Corporation and SAIC to investigate the inherent
complexity of the SAR ATR problem. This project was awarded a second
phase STTR.