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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. Granacki’s 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. Granacki’s 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 MendelJerry 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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