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Conferences, Lectures, & Seminars
Events for December
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False Assumption for Resource Dimensioning in Networking*
Thu, Dec 01, 2005 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Victor O.K. Li, University of Hong KongAbstract: Due to a false assumption that the number of customers in a stable queue can be unbounded, some well-known results in networking are incorrect. Even Erlang's B formula implies one version of the false assumption, i.e., at a switch with any finite number of links, it is always possible for an arriving call to find all of the links simultaneously busy. So Erlang's B formula is also incorrect. This paper presents a detailed elucidation based on a simple thought experiment. To design more efficient, cost-effective networks with better services, the false assumption should be abandoned. *Joint work with Dr. G.L. LiBio: Victor O.K. Li (http://www.eee.hku.hk/staff_personal/vli.htm ) was born in Hong Kong in 1954. He received SB, SM, EE and ScD degrees in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology, Cambridge, Massachusetts, in 1977, 1979, 1980, and 1981, respectively. Since September 1997 he has been with the University of Hong Kong, where he is Chair Professor of Information Engineering. He also served as Managing Director of Versitech Ltd. (http://www.versitech.com.hk/ ), the technology transfer and commercial arm of the University, from September 1997 to June 2004. Prof. Li serves on various corporate boards. His research is in information technology, including all-optical networks, wireless networks, and Internet technologies and applications. Sought by government, industry, and academic organizations, he has lectured and consulted extensively around the world. Prof. Li is very active in the research community, and has chaired various international conferences and served on the editorial boards of various international journals. He has given distinguished lectures at universities around the world, and keynote speeches at many international conferences. Prof. Li has received numerous awards, including, most recently, the UK Royal Academy of Engineering Senior Visiting Fellowship in Communications, the KC Wong Education Foundation Lectureship, the Croucher Foundation Senior Research Fellowship, and the Bronze Bauhinia Star, Government of the Hong Kong Special Administrative Region, China. He was elected an IEEE Fellow in 1992.Host: Dr. C.-C. Jay Kuo, x04658, cckuo@sipi.usc.edu
Location: Hughes Aircraft Electrical Engineering Center (EEB) - -248
Audiences: Everyone Is Invited
Contact: Mayumi Thrasher
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Iron Laws for Multi-Core Scalability
Thu, Dec 01, 2005 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
CENG SEMINAR SERIES"Iron Laws for Multi-Core Scalability"Dr. John P. ShenMicroarchitecture Research LabIntelBSTRACT:The current multi-core trend is the new rage in the industry. All major microprocessor companies have introduced or will soon introduce products containing multiple cores on a single die. It seems that scaling the number of cores has replaced the scaling of clock frequency as the primary design objective for architects. How far can we go in scaling the number of cores in the coming decade? What are the foundational principles, or "iron laws," that actually govern the scaling of multi-core machines? What are the fundamental forces that might conspire against multi-core scalability? This talk will attempt to formulate a clean framework to reason clearly about multi-core performance scalability issues. Iron laws on multi-core performance scalability with respect to architecture, algorithm, and power scaling, will be presented and illustrated with experimental data from MRL's research projects. Speculation on future multi-core designs and promising research directions will also be divulged.BIO:John P. Shen is the director of the Microarchitecture Research Lab (MRL) at Intel. MRL consists of couple dozen researchers spread out at three Intel sites in CA, OR, and TX. Prior to joining Intel in 2000 he spent quite a few years as a Professor in the ECE Department at Carnegie Mellon University. He supervised a total of 17 PhD students, published about 100 papers, and received multiple teaching awards, during his years at CMU. Prior to joining CMU, he spent his undergraduate years at Michigan and his graduate years at USC. He recently published the book "Modern Processor Design: Fundamentals of Superscalar Processors" with McGraw-Hill. He misses academia, but is enjoying his current job in the "real world."Host: Prof. Timothy Pinkston, x04482
Location: Hughes Aircraft Electrical Engineering Center (EEB) - -248
Audiences: Everyone Is Invited
Contact: Rosine Sarafian
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Linking Vision, Action, and Language: Multi-Levels Challenges for Modeling Brain and Body.
Mon, Dec 05, 2005 @ 11:00 AM - 11:50 AM
Sonny Astani Department of Civil and Environmental Engineering
Conferences, Lectures, & Seminars
Speaker:Professor Michael Arbib
Director of USC Brain Project, Fletcher Jones Professor of Computer Science, Professor of Biological Sciences, Biomedical Engineering, Electrical Engineering, Neurosciences and Psychology
University of Southern CaliforniaABSTRACTThe talk will provide an overview of the speaker's approach to modeling brain and body at many levels of detail, with special reference to the study of vision, action and language.Location: Kaprielian Hall (KAP) - rielian Hall, Room 203
Audiences: Everyone Is Invited
Contact: Evangeline Reyes
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Geographic Random Forwarding (GeRaF) for Ad Hoc and Sensor Networks
Wed, Dec 07, 2005 @ 10:30 AM - 11:30 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
CENG SEMINAR SERIES"Geographic Random Forwarding (GeRaF) for Ad Hoc and Sensor Networks"Prof. Michele ZorziSchool of EngineeringUniversity of Padova, ItalyABSTRACT:In this talk, we describe a novel forwarding technique based on geographical location of the nodes involved and random selection of the relaying node via contention among receivers. We first provide a description of the basic idea and study the multihop performance of the scheme. We then provide a detailed description of a MAC scheme based on these concepts and on collision avoidance, and report on its energy and latency performance. Using analysis and simulation, we show that the proposed technique is able to achieve significantly better performance than current schemes in some useful scenarios. Extension to more general metrics is also discussed.BIO:Michele Zorzi is a Professor of Telecommunications at the School of Engineering of the University of Padova, Italy. After obtaining his Ph.D. at the University of Padova, he was an Assistant Professor at Politecnico di Milano, a Research Scientist at UC San Diego, and a Professor at the University of Ferrara. His research interests are focused on wireless communications and networking. He is the Editor-in-Chief of the IEEE Wireless Communications Magazine, and has been on the Editorial Board of many journals and on the TPC of many conferences.Hosts: Prof. Ahmed Helmy, x11329 and Prof. Bhaskar Krishnamachari, x12528
Location: Hughes Aircraft Electrical Engineering Center (EEB) - -248
Audiences: Everyone Is Invited
Contact: Rosine Sarafian
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Graduate Seminar
Wed, Dec 07, 2005 @ 01:00 PM
Mork Family Department of Chemical Engineering and Materials Science
Conferences, Lectures, & Seminars
Graduate SeminarMultiscale Data Integration for Reservoir Characterization and
Identification of Sweet Spots for Well PlacementDr. Maghsood Abbaszadeh
Innovative Petrotech Solutions, Inc.Data for reservoir characterization comes from a variety of sources at different scales and with different qualities. These data carry various types of useful information for reservoir modeling. The statistical methodology of multiscale multivariate Gaussian is presented to integrate data sources of seismic, geology and peterophysics into a single super secondary data for static reservoir descriptions. The theoretical aspects of the method are discussed and analyzed in comparison to the commonly advocated geostatistical method of block cokriging. The usefulness of the method as a means to quantify the value of information of various data sources is also discussed. The applicability of the technique is illustrated in reservoir characterization of a heterogeneous turbidite field in the Gulf of Mexico. A workflow for a comprehensive geostatistical reservoir characterization is then briefly presented, utilizing results of integrated data.One of the main tasks of any reservoir development plan is to decide where to drill wells based on multiple geostatistical reservoir models. The concept of dynamic sweet spots regarding well placement and field development is introduced. Sweet spots refer to connected high-quality reservoir rock volumes with good flow capability. The technique for identification of dynamic sweet spots requires optimized calibration of reservoir flow response with simplified proxy functions. Proxy functions offer measure of drainable rock volumes combined with the fundamentals of flow in porous media. Details of the dynamic sweet spot method are presented and demonstrated on the same heterogeneous turbidite reservoir for well placement and subsequent water and gas injection pilots.Wednesday, December 7, 2005
Seminar at 1:00 P.M. in Hedco 116
Refreshments will be served after the seminar in the HED lobbyThe Scientific Community is Cordially InvitedLocation: Hedco Pertroleum and Chemical Engineering Building (HED) - 116
Audiences: Everyone Is Invited
Contact: Petra Pearce
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Multiscale Data Integration for Reservoir Characterization and Identification of Sweet Spots for Wel
Wed, Dec 07, 2005 @ 01:00 PM - 02:00 PM
Mork Family Department of Chemical Engineering and Materials Science
Conferences, Lectures, & Seminars
Data for reservoir characterization comes from a variety of sources at different scales and with different qualities. These data carry various types of useful information for reservoir modeling. The statistical methodology of multiscale multivariate Gaussian is presented to integrate data sources of seismic, geology and peterophysics into a single super secondary data for static reservoir descriptions. The theoretical aspects of the method are discussed and analyzed in comparison to the commonly advocated geostatistical method of block cokriging. The usefulness of the method as a means to quantify the value of information of various data sources is also discussed. The applicability of the technique is illustrated in reservoir characterization of a heterogeneous turbidite field in the Gulf of Mexico. A workflow for a comprehensive geostatistical reservoir characterization is then briefly presented, utilizing results of integrated data.One of the main tasks of any reservoir development plan is to decide where to drill wells based on multiple geostatistical reservoir models. The concept of dynamic sweet spots regarding well placement and field development is introduced. Sweet spots refer to connected high-quality reservoir rock volumes with good flow capability. The technique for identification of dynamic sweet spots requires optimized calibration of reservoir flow response with simplified proxy functions. Proxy functions offer measure of drainable rock volumes combined with the fundamentals of flow in porous media. Details of the dynamic sweet spot method are presented and demonstrated on the same heterogeneous turbidite reservoir for well placement and subsequent water and gas injection pilots.Dr. Maghsood Abbaszadeh is the president and technology director of Innovative Petrotech Solutions, Inc. He has twenty fives years of theoretical and field experiences in all aspects of reservoir engineering, advanced reservoir characterization, reservoir simulation, and well testing. He has done extensive research and has worked on many projects throughout the world involving conventional and geostatistical reservoir characterization methods. Dr. Abbaszadeh has taught short courses for over fifteen years on principles of geostatistics, applications of geostatistical technologies for reservoir characterization/modeling, reservoir engineering, and advanced well testing.
Location: Hedco Pertroleum and Chemical Engineering Building (HED) - 116
Audiences: Everyone Is Invited
Contact: Takimoto Idania
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Protograph Based LDPC Codes with Minimum Distance Linearly Growing with Block Size
Wed, Dec 07, 2005 @ 02:15 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speakers: Dariush Divsalar and Chris Jones, Jet Propulsion LaboratoryAbstract: We propose several LDPC code constructions that simultaneously achieve good threshold and error floor performance. By considering ensemble average weight enumerators, minimum distance is shown to grow linearly with block size (similar to regular codes of variable degree at least 3). Our constructions are based on projected graph, or protograph, structures that support high-speed decoder implementations. As with irregular ensembles, our constructions are sensitive to the proportion of degree-2 variable nodes. A code with too few such nodes tends to have an iterative decoding threshold that is far from the capacity threshold while a code with too many such nodes tends to not exhibit a minimum distance that grows linearly in block length. In this paper we also show that precoding can be used to lower the threshold of regular LDPC codes. A family of low to high rate codes with minimum distance linearly increasing in block size and with capacity approaching performance thresholds is presented. FPGA simulation results for a few example codes show that the proposed codes perform as predicted. Encoders for the proposed codes will be discussed.Research presented is the work of D. Divsalar, C. Jones, S. Dolinar, and J. Thorpe of Jet Propulsion Laboratory, California Institute of Technology.Bios: Dariush Divsalar received Ph.D. degree in EE from UCLA in 1978. Since then, he has been with the Jet Propulsion Laboratory, California Institute of Technology, where he is a principal scientist. During past 20 years, he taught graduate courses at UCLA and Caltech. He has published over 150 papers, coauthored three books and holds ten U.S. patents in the above areas. Recently, one of his papers has been selected as one of the key research papers published by the IEEE Communications Society during the past five decades. He has received over 25 NASA Tech Brief awards and a NASA Exceptional Engineering Achievement Medal in 1996. He served as Editor for the IEEE Transactions on Communications from 1989 to 1996. Dr. Divsalar is a Fellow of IEEE.Christopher R. Jones received BS, MS, and Ph.D. degrees in Electrical Engineering from UCLA in 1995, 1996, and 2003. From 1997 to 2002 Dr. Jones worked with Broadcom Corporation in the area of VLSI architectures for communications systems. Since Jan. 2004 he has been with the Jet Propulsion Laboratory where he works on problems related to modulation, code design, hardware architectures for encoding/decoding, synchronization, and modulation. Dr. Jones has published a combination of 40 papers and patents.Host: Professor Giuseppe Caire, caire@usc.edu, x.04683
Location: Hughes Aircraft Electrical Engineering Center (EEB) - -248
Audiences: Everyone Is Invited
Contact: Mayumi Thrasher
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Cell Processor: Motivation, Architecture, Design, Programming and Applications
Thu, Dec 08, 2005 @ 10:30 AM - 11:30 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
CENG SEMINAR SERIES"Cell Processor: Motivation, Architecture, Design, Programming and Applications"Dr. H. Peter HofsteeIBMABSTRACT:This talk will present the Cell processor, jointly developed by the STI partnership. Cell is a non-homogeneous chip multiprocessor intended for general-purpose applications but with a particular emphasis on multimedia performance. The Cell processor combines a 64bit Power Architecture(TM) core with 8 Synergistic Processors. In many cases delivers more than an order of magnitude more performance than conventional PC processors. Cell achieves this performance and power efficiency improvement by a new division of labor between the Power core and the Synergistic Processors. Cell allows for a wide variety of programming models, a selection of which will be presented in this talk. We will end the talk by discussing some applications that seem to fit the Cell processor particularly well, and by indicating areas of further exploration.BIO:Dr. H. Peter Hofstee is the chief architect of the Cell Synergistic Processor, and Cell Broadband Engine chief scientist. He received his PhD in computer science from the California Institute of Technology (Caltech) in 1995, and joined the Caltech faculty in 1995 and 1996 to teach computer science and VLSI. In 1996 he joined the IBM Austin research laboratory where he helped create the first GHz CMOS processor. Between 1997 and 2000 he worked on a number of other high-frequency server processor designs. In 2000 he helped create the concept for Cell and became one of the founding members of the STI (Sony -Toshiba -IBM) design center in the spring of 2001. His current interest focuses on application of the Cell processor beyond the gaming space and on future Cell designs.Host: Prof. Timothy Pinkston, x04482
Location: Hughes Aircraft Electrical Engineering Center (EEB) - -248
Audiences: Everyone Is Invited
Contact: Rosine Sarafian
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Lyman Handy Colloquium
Thu, Dec 08, 2005 @ 12:30 PM
Mork Family Department of Chemical Engineering and Materials Science
Conferences, Lectures, & Seminars
Future Prospects of Solid State LightingProfessor Shuji Nakamura
Department of Materials Science
University of California, Santa BarbaraAbstractSemipolar/Nonpolar GaN have been developed for the growth of blue LEDs to minimize the piezoelectric field. The hole concentration of p-type GaN was an order of 1018cm-3. The emission of the blue LEDs showed the strong polarization. The Microcavity (MC)-LEDs with Photonic Crystal (PC) have been developed to increase the light extraction efficiency. The Micro-Cone LEDs were also developed to improve the light extraction efficiency.Thursday, December 8, 2005Seminar at 12:30 p.m. MHP 106 The Scientific Community is Cordially Invited
Location: Seeley Wintersmith Mudd Memorial Hall (of Philosophy) (MHP) - 106
Audiences: Everyone Is Invited
Contact: Petra Pearce
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MESA Math Physics Technology Institute Follow-UP
Fri, Dec 09, 2005 @ 08:30 AM - 03:00 PM
Viterbi School of Engineering Student Affairs
Conferences, Lectures, & Seminars
Follow-up sessions to the MESA Summer Math Physics Technology Institute using Texas Instruments Calculator technology
Location: Ronald Tutor Hall of Engineering (RTH) - 211
Audiences: MESA Advisors
Contact: Larry Lim
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MESA Math Physics Technology Institute
Sat, Dec 10, 2005 @ 08:30 AM - 03:00 PM
Viterbi School of Engineering Student Affairs
Conferences, Lectures, & Seminars
Follow-up sessions to the MESA Summer Math Physics Technology Institute using Texas Instruments Calculator technology
Audiences: MESA Advisors
Contact: Larry Lim
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Graduate Seminar
Mon, Dec 12, 2005 @ 01:00 PM
Mork Family Department of Chemical Engineering and Materials Science
Conferences, Lectures, & Seminars
Hydrogen Economy: Status of Science &
Technology and R&D Opportunities*Dr. U. (Balu) Balachandran
Argonne National Laboratory
Argonne, IL AbstractHydrogen is considered the fuel of choice for both the electric power and transportation industries because of concerns over global climate change. Dependence on depleting oil reserves found in politically unstable regions of the world is forcing many nations to look into the so-called hydrogen economy – a solution that holds the potential to provide sustainable clean, secure, affordable, and reliable energy. At present, petroleum refining and the production of ammonia and methanol collectively consume ≈95% of all deliberately produced hydrogen in the U.S. Most of the demands for hydrogen are currently met by fossil-based technologies such as steam reforming of methane, naphtha reforming, and coal gasification. New cost-efficient production pathways will be needed as we move into the hydrogen-based transportation system. Present needs include economically viable and environmentally benign sources for hydrogen, safe and efficient storage, infrastructure for delivery, and utilization technologies. Also needed are establishment of safety codes and standards, and public training/acceptance. Materials science will play a major role in addressing the challenges of the hydrogen economy. The current status of the hydrogen production, storage, distribution, and utilization technologies will be reviewed. Topics addressed will include membranes for hydrogen production/separation, thermo-chemical water splitting, and technical barriers/research opportunities.*Work supported by the U.S. Department of Energy. Monday, December 12, 2005Seminar at 1:00 p.m. HED 116The Scientific Community is Cordially Invited
Location: Hedco Pertroleum and Chemical Engineering Building (HED) - 116
Audiences: Everyone Is Invited
Contact: Petra Pearce
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Opportunistic Decoding: Maximizing rate and reliability in channels with feedback
Mon, Dec 12, 2005 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Stark Draper, University of California, BerkeleyAbstract: Feedback plays the central role in control theory, enabling systems to react to unpredictable control and disturbance signals. In contrast, many coding systems are designed to operate open-loop. In part this stems from Shannon's result that feedback does not increase the capacity of a stationary discrete memoryless channel. However, in modern communication systems, channels are not always stationary, and can have service demands that are much easier to satisfy when feedback is available. In this talk we describe how to use feedback to "opportunistically" select our decoding time to adapt to unpredictable or unfortunate channel behaviors.We first discuss how feedback can be used to adapt the rate of communication to unpredictable time-varying channel conditions. Such channel variations might result from fading or from dynamic interference environments such as would occur in a cognitive radio network. Incremental redundancy or "fountain" codes find a natural application in this setting. We demonstrate how these codes can be considered as an instance of an adaptive coding strategy for a class of arbitrarily varying channels with feedback.We then describe how feedback can be used to better meet tight application-layer service demands such as hard delay constraints that require short block lengths. Such constraints might arise in the context of streaming media or control-over-network applications. It is well known that, in comparison with feedback-free codes, with feedback we can achieve a target reliability (error probability) in a much reduced average transmission time. In this talk we examine how much feedback is required to realize such improvements. We propose a novel joint channel-code and hash-function design that allows us to tradeoff feedback rate and reliability; transitioning smoothly from the "Forney" reliability at zero-rate (but not zero) feedback to the best-possible "Burnashev" reliability at a higher rate.We will also comment on how opportunistic decoding ideas find application in the context of distributed source coding.Bio: Stark Draper received the Ph.D. and M.S. degrees in electrical engineering and computer science from the Massachusetts Institute of Technology. He received the B.S. and B.A. degrees in electrical engineering and history, respectively, from Stanford University.He is a research fellow in the Wireless Foundations Lab in the Department of Electrical Engineering and Computer Sciences, University of California, Berkeley. Prior to that he held the Information Processing Laboratory Postdoctoral Fellowship at the University of Toronto, where he was also an instructor.Host: Professor Giuseppe Caire, caire@usc.edu, x.04683
Location: Hughes Aircraft Electrical Engineering Center (EEB) - -248
Audiences: Everyone Is Invited
Contact: Mayumi Thrasher
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Game Theory and Pricing of Internet Services
Tue, Dec 13, 2005 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
DISTINGUISHED LECTURER SERIES"Game Theory and Pricing of Internet Services"Prof. Jean WalrandUniversity of California, BerkeleyAbstract:The evolution of Internet is driven as much by economics as by technology. Technology can enable or prevent markets and determine their characteristics. Today's Internet offers a restrictive market that limits incentives for service upgrades. We explore the relationship between technology and economics using game-theoretic models. Specifically, we examine service differentiation, revenue distribution, and the pricing of wireless services. The talk does not assume prior knowledge of game theory. The talk is based on the following papers: 1) Linhai He and Jean Walrand, "Pricing Differentiated Internet Services," in Proc. INFOCOM 2005.2) Linhai He and Jean Walrand, "Pricing and Revenue Sharing Strategies for Internet Service Providers," in Proc.
INFOCOM 2005.3) John Musacchio and Jean Walrand, "Game-Theoretic Analysis of Wi-Fi Pricing," IEEE/ACM Trans.
Networking, 2005. 4) Linhai He and Jean Walrand, "Issues in Pricing Internet Services,"IEEE JSAC, 2006.Bio:Jean Walrand is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California at Berkeley. His research interests include stochastic processes, queuing theory, communication networks, and control systems. He is the author of An Introduction to Queueing Networks (Prentice-Hall, 1988), Communication Networks: A First Course (McGraw-Hill, 1998, 2nd ed.), and co-author of High-Performance Communication Networks (Morgan Kaufmann, 2000). Prof. Walrand is a Fellow of the Belgian American Education Foundation and of the IEEE and a recipient of the Lanchester Prize (Informs) and of the Stephen O. Rice Prize (IEEE).Host: Prof. Michael Neely, x03505Note: A reception will follow the talk at 3:00p.m.Location: Ethel Percy Andrus Gerontology Center (GER) - ontology Auditorium
Audiences: Everyone Is Invited
Contact: Rosine Sarafian
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EE-S DISTINGUISHED LECTURER SERIES
Tue, Dec 13, 2005 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
"Game Theory and Pricing of Internet Services"Prof. Jean WalrandUniversity of California, BerkeleyAbstract:The evolution of Internet is driven as much by economics as by technology. Technology can enable or prevent markets and determine their characteristics. Today's Internet offers a restrictive market that limits incentives for service upgrades. We explore the relationship between technology and economics using game-theoretic models. Specifically, we examine service differentiation, revenue distribution, and the pricing of wireless services. The talk does not assume prior knowledge of game theory. The talk is based on the following papers: 1) Linhai He and Jean Walrand, "Pricing Differentiated Internet Services," in Proc. INFOCOM 2005.2) Linhai He and Jean Walrand, "Pricing and Revenue Sharing Strategies for Internet Service Providers," in Proc.
INFOCOM 2005.3) John Musacchio and Jean Walrand, "Game-Theoretic Analysis of Wi-Fi Pricing," IEEE/ACM Trans.
Networking, 2005. 4) Linhai He and Jean Walrand, "Issues in Pricing Internet Services,"IEEE JSAC, 2006.Bio:Jean Walrand is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California at Berkeley. His research interests include stochastic processes, queuing theory, communication networks, and control systems. He is the author of An Introduction to Queueing Networks (Prentice-Hall, 1988), Communication Networks: A First Course (McGraw-Hill, 1998, 2nd ed.), and co-author of High-Performance Communication Networks (Morgan Kaufmann, 2000). Prof. Walrand is a Fellow of the Belgian American Education Foundation and of the IEEE and a recipient of the Lanchester Prize (Informs) and of the Stephen O. Rice Prize (IEEE).Host: Prof. Michael Neely, x03505Location: Ethel Percy Andrus Gerontology Center (GER) - ontology Auditorium
Audiences: Everyone Is Invited
Contact: Rosine Sarafian
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Numerical Well Testing-- A Method to Use Transient Testing Results in Reservoir Simulation
Thu, Dec 15, 2005 @ 01:30 PM - 02:30 PM
Mork Family Department of Chemical Engineering and Materials Science
Conferences, Lectures, & Seminars
Transient testing is facing a challenge to have the information it provides incorporated in numerical simulators used to predict reservoir performance. The main reason for the problem is that transient testing technology, developed largely via analytical solutions, provides average reservoir parameters not suited to the numerically discretized environment of current reservoir simulators. Previous efforts to include transient testing data in numerical reservoir simulation studies focused on history matching the pressure behavior during the test on a Cartesian-type plot just like matching stabilized production rates and pressures. Such approach neglects the wealth of information contained in the transient behavior of the tests.A method called Numerical Well Testing (NWT) is proposed in this talk to preserve the information obtainable from traditional well test analysis and deliver it in a form suitable for direct use in numerical reservoir simulation. NWT is a systematic method that consists of five steps starting with traditional well test analysis, locally refining grids based on the analysis results, modifying full field numerical models, upscaling the results, and predicting future reservoir performance. Two field examples are used to illustrate the method. The talk concludes by describing the software developments needed to make NWT a routine analysis method.Bio - Medhat M. Kamal is a Technology Project Manager with Chevron Energy Technology Company in San Ramon, California. Prior to that he worked for ARCO, Schlumberger and Amoco. Kamal has 32 years of industry experience in well testing, reservoir description, and production and reservoir engineering and has published repeatedly in various SPE journals. He holds a BS degree from Cairo U. and MS and PhD degrees from Stanford U. all in petroleum engineering. Kamal has served SPE sections in Stanford, Tulsa, Houston, Dallas and San Francisco in various capacities since 1970, including chairing the Dallas section in 1993. A distinguished SPE member since 1983, Kamal has served as member and chairman of SPE's Textbook, Monograph and Cultural Diversity Committees. He received the SPE 1977 Cedric K. Ferguson Medal. and was a distinguished lecturer in 1998. He also received the SPE Formation Evaluation Award, 2004; SPE Distinguished Service Award, 2004; SPE Regional Service Award in North, East and Central Texas Region, 1998 and was selected as the Texas Society of Professional Engineers Petroleum Engineer of the year for 1994. Kamal is the current Co-Executive editor of SPEREE and the Editor of the upcoming monograph on Well Testing.
Location: Hedco Pertroleum and Chemical Engineering Building (HED) - CO 116
Audiences: Everyone Is Invited
Contact: Takimoto Idania
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Simultaneous Detection of Nuclear Magnetic Resonance and Biomagnetic Signals at Ultra-low Magnetic F
Fri, Dec 16, 2005 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
SIPI SeminarJohn C. Mosher, Ph.D.,
Biological and Quantum Physics Group
Los Alamos National Laboratory,
Los Alamos, New MexicoAnatomical imaging of the brain is typically generated using high magnetic fields (several Tesla). Separately, the brain's electrical activity generates extremely low magnetic fields that are measurable by ultrasensitve detectors. Combining the two methods was generally thought impossible until recently when magnetic fields one million times weaker than normal were used to demonstrate nuclear magnetic resonance (NMR). NMR and magnetic resonance imaging (MRI) at ultra-low magnetic fields (ULF, fields of ~ μιχροT) have several advantages over their counterparts at higher magnetic fields. These include narrow line widths, the possibility of novel imaging schemes such as T1 weighted images, and reduced system cost and complexity. In addition, ULF NMR/MRI with superconducting quantum interference devices (SQUIDs) is compatible with simultaneous measurements of biomagnetic signals (magnetoencephalography - MEG), a capability conventional systems cannot offer. This overview talk will be aimed at the introductory level of understanding in NMR and MEG, briefly reviewing the underlying concepts, and how SQUIDs can measure both simultaneously. We discuss the signal processing used to separate and indentify the key components in the measured signals, and we present novel experimental demonstrations of these measurements in heart, muscle, and brain. We then discuss the "Holy Grail" of research in this field, which is to show that the anatomical and functional signals may interact, which would lead to new breakthroughs in accurate modeling of neural function, and we show some tantalizing preliminary results in this directionHOST: Dr. Richard Leahy, leahy@sipi.usc.edu, x 04659
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Regina Morton
