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Alejandro
Bugacov received his Ph.D. degree in physics from USC
in 1995 and his M.S. in physics from the Universidad Nacional
de Rosario (Argentina) in 1989. Until recently, he was involved
in several the DARPA funded projects (ATTEND,
CAMERA and GeoWorlds)
dealing with complex resource allocation problems and computational
complexity issues in large-scale planning and scheduling problems.
During Fall of 2004, he lectured a graduate level course at USC's
Petroleum Engineering Department in "Soft-computing methods
for reservoir characterization and management". Before joining
ISI, he worked as a Research Associate in the Laboratory for Molecular
Robotics at USC, where he conducted theoretical and numerical
simulations and experimental research in the fabrication of nanostructures
by direct manipulation of colloidal gold particles with a Scanning
Probe Microscope. During his doctorate research he worked in theoretical
atomic physics and is the author of 14 journal publications in
the fields of Nanomanipulation with an Atomic Force Microscope
and Multiphoton Ionization of atoms by very strong pulses. His
thesis topic was the ionization of highly excited Rydberg atoms
by a half-cycle pulse and the implementation of numerical analysis
methods for the integration of the time-dependent Schrödinger
equation in a massively parallel computer (CM5). His current research
interests are in computational physics, oilfields reservoir simulations
and management, MEMS and large-scale constraint satisfaction and
optimization problems.
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Iraj
Ershaghi, is the Omar B. Milligan Professor and Director
of the Petroleum Engineering Program, University of Southern California,
Los Angeles, CA. He is also serving as the Director of the West
Coast Petroleum Technology Transfer Council and as the Executive
Director of the Center for Smart Oilfield Technologies at USC.
He graduated from University of Tehran with a BS degree in Petroleum
Engineering. He completed his graduate studies at USC with an
MS and PhD in petroleum engineering in 1968 and 1972 respectively.
He worked for SIRIP, Signal Oil and Gas Company and California
State Lands Commission before joining the faculty at USC. As a
Registered Petroleum Engineer, he has also served as a consultant
to Texaco, Aera, TRW, Tenneco, Unocal, Venoco, McFarland Energy,
National Bureau of Standards, Pall Well Technology, Tidelands
Oil Production Company, Santa Fe Energy, Southern California Gas
Company, Pacific Offshore Operators, US Department of Interior,
Minerals Management Service and the US Department of Justice.
Internationally he has served as a consultant to Petrovietnam
and Indonesia Pertamina
He is the
recipient of Society of Petroleum Engineers, Distinguished Faculty
Award, in 1983, Society of Petroleum Engineers, Distinguished
Member Award, 1996 and and USC School of Engineering, Distinguished
Service Award, 1996. He is a Member New York Academy of Sciences,
2000, A Fellow of the Institute for Advancement of Engineering,
2002, A Recipient Outstanding Educator Award, American Association
for Advancement of Engineering, 2003 and a Recipient of Outstanding
Educator Award, Orange County Council of Engineers and Scientists,
2003. His areas of research interest are formation evaluation,
naturally fractured reservoirs and improved recovery processes.
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Greg
Finn
is a senior computer scientist in the Computer
Networks Division at the USC
Information Sciences Institute. He received the B.S. degree
in Physics in 1973 from Brandeis University and the M.S. in Computer
Science in 1978 from the University of Southern California.
Greg joined
ISI in 1979 and worked for Jon Postel as a researcher until 1991.
During this period Greg developed the first IP suite for Xerox
bitmapped workstations and was a principal developer of the first
multimedia email system. In 1991 he became principal developer
for the ATOMIC project
under Danny Cohen. ATOMIC is believed to have been the first functional
gigabit LAN, capable of combined send/receive speed of nearly
800 Mb/s.
He later became
project leader for the Netstation
project, which attempted to demonstrate that gigabit LANs allowed
a workstation's primary peripheral devices to be attached to a
network via IP/TCP rather than to a specialized internal bus.
Toward that end the project demonstrated reliable transmission
of 30K/datagrams-per-second, plus their acknowledgements between
hosts. The demonstation of a functioning IP-based SCSI disk driver
was a key step in what later beacme the IP-SCSI effort in the
IETF.
Currently,
his research interests lie in the area of virtual computer networks,
in particular mechanisms for their automated creation. To that
end he developed a language for defining virtual networks that
is used both in the Xbone
and Dynabone projects.
He also has demonstrated that virtual networing can be applied
widely and generally to enable application domains, such as geographic
addressing and regional broadcast, that cannot be supported by
the current Internet (see the preliminary draft GeoNet).
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John
Granacki is the Director of the Advanced
Systems Division (ASD) at USC/Information
Sciences Institute. He has over 33 years of industrial and
research experience including work in the development of computer
systems, integrated circuits, and design tools. He received his
Ph.D. in Electrical Engineering in 1986 at the University
of Southern California. He worked at Hughes Aircraft Company
for 10 years during which time he developed large computer systems,
special purpose processors, VLSI chips and CAD tools for VLSI
and PCB layout. He worked for 7 years at RCA Solid State Division
where he was a member of the LSI microprocessor development department.
He designed a variety of LSI/VLSI circuits including custom I/O
devices, A/D converters and memories.
Under Dr.
Granackis leadership and technical direction, ASD has developed
a wide spectrum of innovative systems. These systems include DIVA,
a new computer architecture based on PIM technology Package-Driven
Scalable System, an embeddable computer using MCM technology and
3-D packaging to demonstrate a compute density of 100 GFlops per
cubic foot and the GUMPS Brick, a hand-held wireless computing
node with modular capability.
Dr. Granackis
current research is focused on the architecture of embedded systems
for computing and communication. His research group are working
on creating hybrid architectures that can perform efficiently
under different computing paradigms. For example, on the DARPA
funded MONARCH Project,
they have developed two new concepts: Data Flow In Memory (DFIM)
and SPIM (Standalone Processor In Memory) that can be implemented
as a single machine that runs efficiently for both streaming applications
and conventional applications that run under threaded control.
He is also exploring biologically-inspired architectures including
advanced Dynamic Synapse Neural Networks with Dr. Ted Berger in
Biomedical Engineering. They are researching efficient VLSI implementations
for a wide-range of applications involving temporal-spatial pattern-recognition.
He is also interested in Design Automation, reaserch, specifically
at the system-level.
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John
Heidemann received his PhD (in computer science) from
UCLA's Computer Science Department in 1995 under Gerald Popek,
and his BS in Computer Science at the University of Nebraska-Lincoln
in 1989. He is a research assistant professor at the University
of Southern California's Computer
Science Department. Currently, he teaches CSci551, Computer
Communications. He is a senior project leader at the USC
Information Sciences Institute. In his research, the focus
is on two major areas: sensor networking and Internet traffic
analysis. His networking research occurs in the context of ANT,
the Analysis of Network Traffic group at ISI. His sensor networking
work is part of I-LENSE,
the ISI Laboratory for Embedded Networked Sensor Experimentation,
in collaboration with CENS
and the USC Embedded Network Laboratory.
He is currently involved with SNUSE,
LANDER,
CiSoft, Rapidly
Deployable Sensors for Vehicle Counting and Classification,
MACSS,
and Pervasive
Monitoring and Control of Water Lifeline Systems for Disaster
Recovery.
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Rajiv
Kalia is a professor in the Department of Physics and
Astronomy with joint appointments in Materials Science & Engineering,
Computer Science, and the Collaboratory for Advanced Computing
and Simulations. His expertise is in the area of multiscale simulations
involving atomistic, mesoscale and continuum approaches on a GRID
of distributed parallel supercomputers and immersive and interactive
virtual environment. He has authored 247 papers which include
ultrascale simulations of: sintering, crack growth, stress corrosion,
nanoindentation, friction, and hypervelocity impact in ceramics,
nanophase composites, and nanoscale devices; oxidation and structural
transformations in metallic and semiconductor nanoparticles; and
structure/dynamics of self-assembled monolayers.
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Behrokh
Khoshnevis is a professor of Industrial & Systems
Engineering and is the Director of Manufacturing
Engineering Graduate Program at the University
of Southern California (USC). He is active in CAD/CAM, robotics
and mechatronics related research projects that include the development
of novel Solid Free Form, or Rapid Prototyping, processes (Contour
Crafting and SIS),
automated construction of civil structures, development of CAD/CAM
systems for biomedical applications (e.g., restorative dentistry,
rehabilitation engineering, haptics devices for medical applications),
and autonomous mobile and modular robots for assembly applications
in space. His research in simulation has aimed at creating intelligent
simulation tools that can automatically perform many simulation
functions that are conventionally performed by human analysts.
His textbook, "Discrete
Systems Simulation", and his simulation software EZSIM
benefit from some aspects of his research in simulation. He routinely
conducts lectures and seminars on invention and technology development.
He is a Senior member of the Society for Computer Simulation and
the Society of Manufacturing Engineering and is a Fellow member
of the Institute of Industrial Engineers.
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Jeff
La Coss is currently the Project Leader of the GloMo
Universal Modular Packaging System (GUMPS) and the Advanced
Production Technologies (APT) projects of the Advanced
Systems Division at USC/ISI.
In addition to project management responsibilities, his engineering
contributions to these programs are at all levels of systems design
and packaging. Jeff sweated blood for a B.S. in Computer Science
and Engineering from UCLA. He is a Lifetime Member of the UCLA
Alumni Association. He is also a member of the IEEE Computer Society.
During the mid-'70s, Jeff worked for Informer, Inc., a small manufacturer
of computer terminals in the dark days before the advent of personal
computers, workstations and networks. Long defunct, Informer provided
an invaluable hands-on engineering training environment when his
alma mater failed to deliver relevant (or practical) courses in
computer design techniques. He returned to formal schooling only
after the CS&E major was offered.
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Jerry
M. Mendel received his Ph.D. degree in electrical engineering
from the Polytechnic Institute of Brooklyn, Brooklyn, NY. Currently
he is Professor of Electrical Engineering and Associate Director
for Education, Outreach and Student Affairs of the Integrated
Media Systems Center at the University
of Southern California in Los Angeles, where he has been since
1974. He has published over 450 technical papers and is author
and/or editor of eight books, including Uncertain Rule-based Fuzzy
Logic Systems: Introduction and New Directions (Prentice-Hall,
2001). His present research interests include: type-2 fuzzy logic
systems and their applications to a wide range of problems, including
target classification, sensor fusion, smart oil fields and computing
with words. He is a Life Fellow of the IEEE and a Distinguished
Member of the IEEE Control Systems Society. He was President of
the IEEE Control Systems Society in 1986, and is presently Chairman
of the Fuzzy Technical Committee and an elected member of the
Administrative Committee of the IEEE Computational Intelligence
Society. Among his awards are the 1983 Best Transactions Paper
Award of the IEEE Geoscience and Remote Sensing Society, the 1992
Signal Processing Society Paper Award, the 2002 Transactions on
Fuzzy Systems Outstanding Paper Award, a 1984 IEEE Centennial
Medal, and an IEEE Third Millenium Medal. For CiSoft, his 2 areas
of focus are (1) Fusion of linguistic-based and data-based decisions
(asset management) and (2) Forecasting of oil, gas, and water
production using non-linear rule-based methods.
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Aiichiro
Nakano is an associate professor of Computer Science with
joint appointments in Physics & Astronomy, Materials Science
& Engineering, and the Collaboratory
for Advanced Computing and Simulations at the University of
Southern California. He has authored 183 refereed articles, including
111 journal papers, in the areas of scalable scientific algorithms,
Grid computing on geographically distributed parallel computers,
and scientific visualization. He is a recipient of the National
Science Foundation Career Award (1997), Louisiana State University
(LSU) Alumni Association Faculty Excellence Award (1999), LSU
College of Basic Sciences Award of Excellence in Graduate Teaching
(2000), the Best Technical Paper Award at the IEEE/ACM Supercomputing
2001 Conference, Best Paper at the IEEE Virtual Reality Conference
(2002), and Okawa Foundation Faculty Research Award (2003). He
is a member of IEEE, ACM, APS, and MRS.
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Ulrich
Neumann is the Charles Lee Powell Professor of Computer
Science and Electrical Engineering, and an Associate Professor
of Computer Science, at the University of Southern California.
He earned an MSEE from SUNY at Buffalo in 1980 and he completed
his computer science Ph.D. at the University of North Carolina
at Chapel Hill in 1993 where his focus was on parallel algorithms
for interactive volume-visualization. His current research relates
to immersive environments and virtual humans. His research in
video-based tracking systems for augmented reality applications
in manufacturing and training earned him an NSF CAREER award in
1995. Dr. Neumann's research in 3D modeling and animation systems
earned him the Jr. Faculty Research award at USC in 1999. He has
published extensively at conferences and in peer-reviewed journals,
and he was an Associate Editor for the IEEE Transactions on Multimedia
from 1999-2002. Dr. Neumann is the Director of the Integrated
Media Systems Center (IMSC), an NSF Engineering Research Center
(ERC), and he directs the Computer
Graphics and Immersive Technologies (CGIT) Laboratory at USC.
IMSC has over twenty faculty participating with more than twenty
corporate partners pursuing media systems research. In his commercial
career, he designed multiprocessor graphics and DSP systems, cofounded
a video game corporation, and independently developed and licensed
technology products.
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Antonio
Ortega received the Telecommunications Engineering degree
from the Universidad Politecnica
de Madrid, Madrid, Spain in 1989 and the Ph.D. in Electrical
Engineering from Columbia University,
New York, NY in 1994. His Ph.D. work was supported by the Fulbright
Commission and the Ministry of Education of Spain. He joined the
University of Southern California as an Assistant Professor in
1994 and is currently an Associate Professor. At USC he is a member
of the Integrated Media Systems
Center, an NSF Engineering Research Center, and Director of
the Signal and Image Processing
Institute. In 1995 he received the NSF Faculty Early Career
Development (CAREER) Award. He is a senior member of the IEEE,
a member of the ACM, an Associate Editor of the IEEE Transactions
on Image Processing (1996-2000) and of the IEEE Signal Processing
Letters. He is also a member of the IEEE Signal Processing Society
Multimedia Signal Processing (MMSP) and Image
and Multidimensional Signal Processing (IMDSP) technical committees.
He is currently Chair of the IMDSP committee. He received the
1997 Northrop Grumman Junior Research Award awarded by the School
of Engineering at USC. In 1998 he received the Leonard G. Abraham
IEEE Communications Society Prize Paper Award for the best paper
published in the IEEE Journal on Selected Areas in Communications
in 1997, for his paper co-authored with Chi-Yuan Hsu and Amy R.
Reibman. He also received the IEEE Signal Processing Society,
Signal Processing Magazine Award in 1999 for a paper co-authored
with Kannan Ramchandran, which appeared in the Signal Processing
Magazine in November 1998. His research interests are in the area
of digital image and video compression, with a focus on systems
issues related to transmission over networks, application-specific
compression techniques, and fault/error tolerant signal processing
algorithms.
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Viktor
K. Prasanna (V. K. Prasanna Kumar) is Professor of Electrical
Engineering and Professor of Computer Science at the University
of Southern California (USC). He is also a member of the NSF supported
Integrated Media Systems Center (IMSC) and an associate member
of the Center for
Applied Mathematical Sciences (CAMS) at USC. His research
interests include High Performance Computing, Parallel and Distributed
Systems, Network Computing and Embedded Systems. He received his
BS in Electronics Engineering from the Bangalore University, MS
from the School of Automation, Indian Institute of Science and
Ph.D in Computer Science from the Pennsylvania State University.
Prasanna has
published extensively and consulted for industries in the above
areas. He is the Steering Committee Co-Chair of the International
Parallel & Distributed Processing Symposium (IPDPS) [merged
IEEE International Parallel Processing Symposium (IPPS) and Symposium
on Parallel and Distributed Processing (SPDP)]. He is the Steering
Committee Chair of the International Conference on High
Performance Computing (HiPC). He serves on the editorial board
of the Journal of Parallel and Distributed Computing. He is the
Editor-in-Chief of the IEEE Transactions on Computers. He was
the founding chair of the IEEE
Computer Society's Technical Committee on Parallel Processing.
He is a Fellow of the IEEE.
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Cauligi
S. Raghavendra is a Professor in the Departments of Electrical
Engineering-Systems and Computer Science and is the Chairman of
the Department of EE-Systems at the University of Southern California.
He received his B.Sc (Hons) Physics degree from Bangalore University
in 1973, his B.E and M.E degrees in Electronics and Communication
from Indian Institute of Science, Bangalore in 1976 and 1978 respectively.
He received his Ph.D degree in Computer Science from University
of California at Los Angeles in 1982. Previously, he was a faculty
in the Department of Electrical Engineering-Systems at USC from
1982-1992, as Boeing Chair Professor of Computer Engineering in
the School of Electrical Engineering and Computer Science at the
Washington State University in Pullman, from 1992-1997, and with
The Aerospace Corporation from August 1997-2001. Dr. Raghavendra
is a recipient of the Presidential Young Investigator Award for
1985 and became a Fellow of the IEEE in 1997.
Dr. Raghavendra's
current research focuses on wireless and sensor networks, energy
efficient algorithms and protocols, active networks, and autonomic
distributed computing. He has published over 180 papers on these
subjects in international conferences and journals. He has co-authored
an IEEE tutorial text on Interconnection Networks, co-authored
an edited book on Active Middleware Services, and co-authored
an edited book on Wireless Sensor Networks. He has collaborated
with several researchers, both at USC and elsewhere, on various
projects. Recently, he has worked on power-aware protocols for
wireless ad hoc networks that is a pioneering work in power aware
communications. In this research, protocols were developed for
channel access (PAMAS), routing, and broadcasting in wireless
networks that take into account the remaining battery power in
radios. His research is funded by several programs in DARPA and
some of his recent research projects include: Power Aware Protocols
for Mobile and Ad Hoc Wireless Networks, Power Aware Sensing and
Tracking, Distributed Signal Processing over Wireless Sensor Networks,
and Network Vulnerabilities Analysis Toolset.
Dr. Raghavendra
is an Editor for ACM/Kluwer Wireless Networks Journal, IEEE Transactions
on Parallel and Distributed Systems, a subject area editor for
Journal of Parallel and Distributed Computing, Editor-in-Chief
for Special Issues in Cluster Computing Journal published by Kluwer,
and a co-Editor-in-Chief for a book series on Network Theory and
Applications, also published by Kluwer.
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Cyrus
Shahabi is currently an Associate Professor and the Director
of the Information
Laboratory (InfoLAB) at the Computer
Science Department and also a Research Area Director at the
NSF's Integrated Media Systems
Center (IMSC) at the University
of Southern California. He received his Ph.D. degree in Computer
Science from the University of Southern California in August 1996.
He has two books and more than hundred articles, book chapters,
and conference papers in the areas of databases and multimedia.
Dr. Shahabi's current research interests include Peer-to-Peer
Systems, Streaming Architectures, Geospatial Data Integration
and Multidimensional Data Analysis. He was the program committee
chair of ACM WIDM'99 workshop and the local chair of ACM SIGMETRICS'2002.
He is currently on the editorial board of ACM Computers in Entertainment
magazine and program committee chair of ICDE NetDB 2005.
He is also serving on many conference program committees such
as ACM GIS 2004, ACM CIKM 2004, IEEE ICDE 2004 and ACM SIGMOD
2004. Dr. Shahabi is the recipient of the 2002 National Science
Foundation CAREER Award and 2003 Presidential Early Career Awards
for Scientists and Engineers (PECASE). In 2001, he also received
an award from the Okawa Foundations.
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Wei-Min
Shen is
the Director of USC/ISI's Polymorphic Robotics Laboratory, the
Associate Director of USC's Center for Robotics and Embedded Systems,
and a Research Associate Professor in Computer Science at University
of Southern California. He received his Ph.D. from Carnegie Mellon
University in 1989 under Nobel Laureate Professor Herbert A. Simon,
and had 22 years of research experience. His current research
interests include self-reconfigurable and metamorphic systems,
autonomous robots, Machine Learning, Artificial Intelligence,
and Life Science. He has over 100 publications in these areas.
He is the recipient of a Silver-Medal Award in 1996 AAAI Robotics
Competition, a World Championship Award in 1997 Middle-sized RoboCup
Competition, a Meritorious Service Award at ISI in 1997, and a
Phi Kappa Phi Faculty Recognition Award at USC in 2003. He is
the author of "Autonomous Learning from Environment"
(W.H.Freeman), a 360-page book on how machines learn from their
environment based on "surprises". He is the PI for the
SuperBot project for developing a modular, multifunctional and
self- reconfigurable robotic system for space application, a co-inventor
of CONRO, and the inventor
of hormone-inspired distributed and decentralized control for
self-reconfigurable systems (US Patent #006636781). He has served
as chairs and committee members for international conferences
and workshops in Robotics, Machine Learning, and Data Mining,
and as editorial board members for scientific books and research
journals. His research activities have been reported by leading
scientific journals such as SCIENCE (9/26/1997 and 8/8/2003) and
NATURE (5/28/2004), and media press such as CNN, PBS, Discovery,
and other newspapers and magazines in the world. His research
has been supported by NSF, AFOSR, DARPA, ARO, NASA, and CiSoft.
He is the conference program chair for the 7th
International Conference on Autonomous Intelligent Systems,
and has served on the program committee for AAAI, AAMAS, KDD,
ICRA, IROS, and other international technical conferences.
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Priya
Vashishta is the Director of the Collaboratory for Advanced
Computing and Simulations. He along with his other colleagues
- Rajiv Kalia and Aiichiro Nakano - joined USC in September 2002.
They have multidisciplinary appointments in the School of Engineering
and College of Letters, Arts and Sciences. Priya Vashishta was
the Cray Research Professor of Computational Sciences at the Louisiana
State University since 1990. He is the founding Director of the
Concurrent Computing Laboratory for Materials Simulations at LSU.
The Laboratory established a unique dual degree program where
students can obtain a Ph.D. in Physical Sciences & Engineering
and M.S. from the Department of Computer Science in five years.
Prior to LSU, he was Senior Scientist at the Argonne National
Laboratory. He was the Director of the Solid State Science Division
from 1979 to 1982. He has been involved in various aspects of
atomistic simulations for twenty-five years. His current research
interests include high performance computing and visualization
to carry out very large multiscale simulations of novel materials
and processes, nanoscale systems and devices, and info-Bio-Nano
interface on massively parallel and distributed computers.
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Jack
Wills
has twenty-seven years of experience in Electomagnetics, RF Signal
Processing, and Computer/Digital Control Systems. As a technical
consultant, Dr. Wills provides advanced engineering services in
antenna design, microwave systems engineering, receiver and demodulation
design, system engineering of satellite systems, and specification
development. He also provides technical direction and analysis
in support of client IR&D programs for both military and commercial
markets. He received his Ph.D. in Electrical Engineering in 1990,
his M.S.E.E. in 1985, and his B.A. Mathematics (Cum Laude, with
Departmental Honors) in 1972 all at UCLA.
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Ke-Thia
Yao is a computer scientist in the Distributed Scalable
Systems Division at the Information
Sciences Institute. His research interests include developing
information management systems for understanding, visualizing
and organizing large data sets. Currently, he is working on the
JESPP project which has the goal of supporting very large-scale
distributed military simulations involving millions of entities.
Within the JESPP project he is developing a suite of monitoring,
logging, and analysis tools to help human users better understand
the computational and behavioral properties of large-scale simulations.
For his Ph.D. thesis he implemented a spatial and physical reasoning
system that automatically generated grids for computational fluid
dynamics simulators. He received his B.S. with honors in Electrical
Engineering and Computer Science from UC Berkeley, and his M.S.
and Ph.D. degrees in Computer Science from Rutgers University.
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Wei
Ye is a Computer Scientist at the Information
Sciences Institute (ISI), University
of Southern California (USC). He received his B.S. and Ph.D.
in Electrical Engineering from Xidian University, China and M.S.
in Computer Science from USC in 1991, 1996 and 2001 respectively.
He is now working in the area of wireless sensor networks with
Prof. John Heidemann
and Prof.
Deborah Estrin, and is a member of I-LENSE,
ISI Laboratory for Embedded Networked Sensor Experimentation.
He has been involved in several projects at USC/ISI, including
SNUSE, MACSS,
SCADDS, SCOWR and CONSER.
His research interest includes MAC layer design, network architecture,
signal processing, testbeds and applications
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Yannis
C. Yortsos is the Senior Associate Dean for Academic Affairs
at the USC Viterbi School of Engineering and the Chester F. Dolley
Professor of Petroleum Engineering in the Department of Chemical
Engineering. As Senior Associate Dean for Academic Affairs he
is responsible for the Office for Admissions and Students Affairs
and the Office for Graduate Affairs
He earned
his B.S. in Chemical Engineering from the National Technical University,
Athens, Greece, in 1973; his M.S. in Chemical Engineering from
the California Institute of Technology; and also his Ph.D in Chemical
Engineering at Caltech in 1979.
He has done
significant research in fields that include fluid flow, transport,
and reaction in porous media, viscous flows in porous media geometries
, phase change in porous media and applications to the recovery
of subsurface fluids (oil recovery, soil remediation).
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Suya
You is a Research Assistant Professor in the Computer
Science Department at the University
of Southern California. His expertise is in the fundamental
and applied aspects of interactive multimodal systems, computer
vision, and 3D graphics and visualization. He is also an investigator
in the Sensory Interfaces field, IMSC, has been developing unique
motion tracking, augmented reality, large-scale scene modeling,
and 3D visualization techniques, and co-holding several patents
and technology disclosures in those areas. His research for the
CiSoft focuses on the Data Visualization and Interaction front.
He earned his MSEE in 1991, and Ph.D. from the Huazhong University
of Science and Technology, China, in 1994.
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