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SUNMONTUEWEDTHUFRISAT
Conferences, Lectures, & Seminars
Events for June
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AI Seminar- ROBOTIC LABS AND SCIENCE AS A SERVICE
Thu, Jun 01, 2017 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Paul Groth, Elsevier Labs
Talk Title: ROBOTIC LABS AND SCIENCE AS A SERVICE
Series: Artificial Intelligence Seminar
Abstract: Paul is coauthor of Provenance: an Introduction to PROV and The Semantic Web Primer: 3rd Edition as well as numerous academic articles.
Robotic Labs, in which experiments are carried out entirely by robots, have the potential to provide a reproducible and transparent foundation for performing basic biomedical laboratory experiments. I discuss our recent work that uses text mining and qualitative analysis to provide indicators for that potential. I discuss some of the challenges faced in methods extraction that arise from this work . I will also sketch our thinking on the future of Science as a Service and the important role of AI will play it.
There will also be a chance at a prize.
Biography: Paul Groth is Disruptive Technology Director at Elsevier Labs. He holds a Ph.D. in Computer Science from the University of Southampton 2007 and has done research at the University of Southern California and the Vrije Universiteit Amsterdam. His research focuses on dealing with large amounts of diverse contextualized knowledge with a particular focus on web and science applications. This includes research in data provenance, data science, data integration and knowledge sharing.
Previously, he lead architecture development for the Open PHACTS drug discovery data integration platform. Paul was cochair of the W3C Provenance Working Group that created a standard for provenance interchange. At Elsevier, Paul continues his research line and helps the company understand new technologies and their applicability to building better infrastructure for scholarship.
Paul is coauthor of Provenance: an Introduction to PROV and The Semantic Web Primer-3rd Edition as well as numerous academic articles.
Host: Gully Burns
More Info: http://thinklinks.wordpress.com
Webcast: http://webcastermshd.isi.edu/Mediasite/Play/2c6c4d22b81544f5a7f7ae5ecdad9aaf1Location: Information Science Institute (ISI) - 11th Flr Conf Rm # 1135, Marina Del Rey
WebCast Link: http://webcastermshd.isi.edu/Mediasite/Play/2c6c4d22b81544f5a7f7ae5ecdad9aaf1d
Audiences: Everyone Is Invited
Posted By: Peter Zamar
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NAMRC/MSEC/ICM&P International Manufacturing Research ConferenceSun, Jun 04, 2017
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Various, NAMRC/MSEC/ICM&P International Manufacturing Research Conference
Talk Title: NAMRC/MSEC/ICM&P International Manufacturing Research Conference
Abstract: To attend:
Go to http://2017namrc-msec.usc.edu/ and register for the conference.
Host: Yong Chen
More Info: http://2017namrc-msec.usc.edu/
Audiences: Everyone Is Invited
Posted By: Michele ISE
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NAMRC/MSEC/ICM&P International Manufacturing Research Conference
Mon, Jun 05, 2017
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Various, NAMRC/MSEC/ICM&P International Manufacturing Research Conference
Talk Title: NAMRC/MSEC/ICM&P International Manufacturing Research Conference
Abstract: To attend:
Go to http://2017namrc-msec.usc.edu/ and register for the conference.
Host: Yong Chen
More Info: http://2017namrc-msec.usc.edu/
Audiences: Everyone Is Invited
Posted By: Michele ISE
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NAMRC/MSEC/ICM&P International Manufacturing Research Conference
Tue, Jun 06, 2017
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Various, NAMRC/MSEC/ICM&P International Manufacturing Research Conference
Talk Title: NAMRC/MSEC/ICM&P International Manufacturing Research Conference
Abstract: To attend:
Go to http://2017namrc-msec.usc.edu/ and register for the conference.
Host: Yong Chen
More Info: http://2017namrc-msec.usc.edu/
Audiences: Everyone Is Invited
Posted By: Michele ISE
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NAMRC/MSEC/ICM&P International Manufacturing Research Conference
Wed, Jun 07, 2017
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Various, NAMRC/MSEC/ICM&P International Manufacturing Research Conference
Talk Title: NAMRC/MSEC/ICM&P International Manufacturing Research Conference
Abstract: To attend:
Go to http://2017namrc-msec.usc.edu/ and register for the conference.
Host: Yong Chen
More Info: http://2017namrc-msec.usc.edu/
Audiences: Everyone Is Invited
Posted By: Michele ISE
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NAMRC/MSEC/ICM&P International Manufacturing Research Conference
Thu, Jun 08, 2017
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Various, NAMRC/MSEC/ICM&P International Manufacturing Research Conference
Talk Title: NAMRC/MSEC/ICM&P International Manufacturing Research Conference
Abstract: To attend:
Go to http://2017namrc-msec.usc.edu/ and register for the conference.
Host: Yong Chen
More Info: http://2017namrc-msec.usc.edu/
Audiences: Everyone Is Invited
Posted By: Michele ISE
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CAIS Seminar: Dr. Sriram Rajamani (Microsoft Research, India) - Overview of Microsoft Research India
Fri, Jun 09, 2017 @ 11:00 AM - 12:00 PM
Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. Sriram Rajamani, Microsoft Research, India
Talk Title: Overview of Microsoft Research India
Series: Center for AI in Society (CAIS) Seminar Series
Abstract: Founded in 2005, Microsoft Research India just turned 12 years old. Their work spans 4 areas: (1) Algorithms, data science and theory, (2) machine learning and AI, (3) systems including programming languages, security, privacy and networking, and (4) technology for socio-economic development. Dr. Rajamani will give an overview of Microsoft Research India's people and research, and explain a couple of systems projects (in the area of security and privacy) in some detail.
Career opportunities at MSR India will also be presented; students are encouraged to apply!
Host: Milind Tambe
Location: Ronald Tutor Hall of Engineering (RTH) - 217
Audiences: Everyone Is Invited
Posted By: Assistant to CS chair
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AI Seminar
Fri, Jun 09, 2017 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Dmitri Williams, USC Annenberg School for Communication
Talk Title: TAMING AND TRAINING SOCIAL DRAGONS COMBINING BIG DATA WITH SOCIAL SCIENCE IN GAMES AND BEYOND
Abstract: Organizations are hungry to leverage their data but often confused about where to begin. Most dont have theoretical frameworks or an understanding of how to apply the results in their workflow and systems. At the same time, the potential and demand for harnessing these data especially on networks and relationships have never been greater. In this talk, I will share a new technique and metric for using these data to measure the impact of people on each other for a range of applications. Validation and tests of the measure come from field work covering nearly a billion consumers, viewers, and players.
Biography: Dmitri Williams is an associate professor at the USC Annenberg School for Communication and Journalism. His research focuses on the social and economic impacts of new media, with a focus on online games. Williams was the first researcher to use online games for experiments and to undertake longitudinal research on them. He continues to study the psychology of online populations, with projects involving community, identity, sexuality, economics and machine learning. He is also the President of Ninja Metrics, a university startup focusing on big data. His work has been featured on NPR, CNN, Fox, NBC and CBS, as well as in the Economist, the New York Times, and other outlets.
Host: Mayank Kejriwal
Location: Information Science Institute (ISI) - 11th floor large conference room
Audiences: Everyone Is Invited
Posted By: Kary Lau
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NL Seminar-Introduction to Graph Signal Processing:Tools for Harmonic Analysis on Irregular Structures
Fri, Jun 09, 2017 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Benjamin Girault , USC
Talk Title: Introduction to Graph Signal Processing: Tools for Harmonic Analysis on Irregular Structures
Series: Natural Language Seminar
Abstract: Abstract: During the past few years, graph signal processing has been extending the field of signal processing on Euclidean spaces to irregular spaces represented by graphs. We have seen successes ranging from the Fourier transform, to wavelets, vertex-frequency time frequency decomposition, sampling theory, uncertainty principle, or convolutive filtering. This presentation introduces the field, the type of signals involved, and how harmonic analysis is performed.
Biography: Benjamin Girault received his License B.Sc. and his Master M.Sc. in France from Ecole Normale Supérieure de Cachan, France, in 2009 and 2012 respectively in the field of theoretical computer science. He then received his PhD in computer science from Ecole Normale Supérieure de Lyon, France, in December 2015. His dissertation entitled Signal Processing on Graphs Contributions to an Emerging Field" focuses on extending the classical definition of stationary temporal signals to stationary graph signal. Currently, he is a postdoctoral scholar with Professors Antonio Ortega and Shri Narayanan at the University of Southern California continuing his work on graph signal processing with a focus on applying these tools to understanding human behavior.
Host: Marjan Ghazvininejad and Kevin Knight
More Info: http://nlg.isi.edu/nl-seminar/
Location: Information Science Institute (ISI) - 6th Flr Conf Rm -# 689
Audiences: Everyone Is Invited
Posted By: Peter Zamar
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MHI CommNetS seminar
Mon, Jun 12, 2017 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Costas A. Courcoubetis, Singapore University of Technology and Design
Talk Title: Drivers, Riders and Service Providers: The impact of the sharing economy on Mobility
Series: CommNetS
Abstract: Joint work with S. Benjaafar and H. Bernhard.
Ride sharing, the practice of sharing a car such that more than one person travels in the car during a journey, is often heralded as a more sustainable alternative of private transportation. It is widely believed that ride sharing through sharing economy platforms will significantly reduce congestion in populated urban areas. We introduce a model in which individuals may share rides for a certain fee, paid from the rider(s) to the driver through a ride sharing platform. Collective decision making is modelled as an anonymous non-atomic game with a finite set of strategies and payoff functions affine in the individuals' types that include their utility for using private transportation and their income. We demonstrate that equilibria in this game may be represented as convex partitions of the two dimensional type space and are unique for almost all parameter combinations. With this model we study how congestion and ownership are affected through the introduction of a ride sharing platform to a population of given characteristics. In particular, we examine whether the potential reduction in congestion widely expected is actually attainable once monetary incentives are introduced that affect both the behaviour of users and the price choices of the platform.
We find that when car costs are low, casual ride sharing (P2P) will dominate the ride sharing market. When car costs are high, professional ride sharing (B2C) will dominate. Focusing on a monopolist revenue maximizing platform we encounter some paradoxical phenomena: For example, increasing car ownership costs as a measure to curb traffic volume might yield counter-intuitive outcomes: an increase in traffic volume, ownership and platform revenue coupled with a decrease in welfare. Comparing a revenue - with a welfare-maximizing platform we find that when cars are cheap the two platform objectives may be aligned. When cars are expensive, a revenue maximizing platform tends to induce an equilibrium with strictly worse welfare and strictly higher congestion compared to the welfare optimum. This suggests that in such a setting, a monopolist platform would need to be regulated more strictly to avoid socially undesirable outcomes.
Biography: Prof. Costas A Courcoubetis was born in Athens, Greece and received his Diploma (1977) from the National Technical University of Athens, Greece, in Electrical and Mechanical Engineering, his MS (1980) and PhD (1982) from the University of California, Berkeley, in Electrical Engineering and Computer Science. He was MTS at the Mathematics Research Center, Bell Laboratories, Professor in the Computer Science Department at the University of Crete, Professor in the Department of Informatics at the Athens University of Economics and Business, and since 2013 Professor in the ESD Pillar, Singapore University of Technology and Design where he heads the Initiative for the Sharing Economy and co-directs the new ST-SUTD Center for Smart Systems. His current research interests are economics and performance analysis of networks and internet technologies, sharing economy, regulation policy, smart grids and energy systems, resource sharing and auctions. Besides leading a large number of research projects in these areas he has also published over 100 papers in scientific journals and conferences. He is co-author with Richard Weber of "Pricing Communication Networks: Economics, Technology and Modeling" (Wiley, 2003).
Host: Prof. Insoon Yang
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Posted By: Annie Yu
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AI Seminar
Wed, Jun 14, 2017 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Eran Hadas, Cal Tech
Talk Title: COMPUTATIONAL LITERATURE: HOW CAN A COMPUTER GENERATE LITERARY TEXT?
Abstract: This talk will provide an introduction to Computational literature as an intersection between Natural Language Processing and Computational (Artificial) Creativity. It will feature examples of computer-generated texts, and showcase some rule-based, statistical and neural network based techniques.
Biography: Eran Hadas is an Israeli poet, software developer, and new media artist, the author of seven books. He creates hypermedia poetry and develops software-based poetry generators. Among his collaborative projects are a headset that generates poems from brainwaves, and a documentarian robot that interviews people about the meaning of being human. Hadas is a visiting scholar at Caltech, where he is teaching Computational Literature.
Host: Mayank Kejriwal
Webcast: http://webcastermshd.isi.edu/Mediasite/Play/111124490ef14024881e149e572cLocation: Information Science Institute (ISI) - 11th floor large conference room
WebCast Link: http://webcastermshd.isi.edu/Mediasite/Play/111124490ef14024881e149e572c1
Audiences: Everyone Is Invited
Posted By: Kary LAU
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Fiber Optics Manufacturing in Space (FOMS): Live Payload Demo
Fri, Jun 16, 2017 @ 02:30 PM - 03:30 PM
Ming Hsieh Department of Electrical Engineering
Conferences, Lectures, & Seminars
Speaker: Dmitry Starodubov, FOMS Inc. and University of Southern California
Talk Title: Fiber Optics Manufacturing in Space (FOMS): Live Payload Demo
Abstract: Photonics manufacturing is taking the first steps outside our planet. The sustainable orbital manufacturing with commercially viable and profitable operation has tremendous potential for driving the space exploration industry and human expansion into outer space. FOMS Inc. team identified an opportunity of revolutionary optical fiber manufacturing in space that leads to the first commercial production on orbit. This NASA and CASIS sponsored mission is driven by strong commercial potential for manufacturing operations on board the International Space Station. The emerging Space Fiber TM product line applications are discussed. The world's first actual orbital manufacturing payload prototype will be demonstrated.
Biography: Prof. Dmitry Starodubov is a Chief Scientist of FOMS Inc. (San Diego, CA) who also recently joined USC Electrical Engineering as a visiting research faculty. Dr. Starodubov carrier path includes high profile technology positions including Technology Officer of IPG Photonics (NASDAQ: IPGP), Director of Bio- and Nano Photonics at POC and Technology Officer of USC startup D-STAR Technologies. He is an author of 23 US Patents, more than 100 publications and recipient of 2002 Photonics Excellence and 2012 Photonics Prism awards. Dr. Starodubov is a Senior OSA Member and Fellow of SPIE.
Host: Alan Willner, x04664, willner@usc.edu
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Posted By: Gerrielyn Ramos
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NL Seminar - From Noisy Information Extraction to Rich Information Retrieval in Unusual Domains
Fri, Jun 16, 2017 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Mayank Kejriwal, USC/ISI
Talk Title: From Noisy Information Extraction to Rich Information Retrieval in Unusual Domains
Series: Natural Language Seminar
Abstract: Information Extraction IE or the algorithmic extraction of named entities, relations and attributes of interest from text-rich data is an important natural language processing task. In this talk, I will discuss the relationship of IE to fine-grained Information Retrieval IR, especially when the domain of interest is unusual i.e. computationally under-studied, socially consequential and difficult to analyze. In particular, such domains exhibit a significant long-tail effect, and their language models are obfuscated. Using real-world examples and results obtained in recent DARPA MEMEX evaluations, I will discuss how our search system uses semantic strategies to usefully facilitate complex information needs of investigative users in the human trafficking domain, even when IE outputs are extremely noisy. I briefly report recent results obtained from a user study conducted by DARPA, and the lessons learned thereof for both IE and IR research.
Biography: Mayank Kejriwal is a computer scientist in the Information integration group at ISI. He received his Ph.D. from the University of Texas at Austin under Daniel P. Miranker. His dissertation involved domain-independent linking and resolving of structured Web entities at scale, and was published as a book in the Studies in the Semantic Web series. At ISI, he is involved in the DARPA MEMEX, LORELEI and D3M projects. His current research sits at the intersection of knowledge graph construction, search, inference and analytics, especially over Web corpora in unusual social domains.
Host: Marjan Ghazvininejad and Kevin Knight
More Info: http://nlg.isi.edu/nl-seminar/
Location: Information Science Institute (ISI) - 11th Flr Conf Rm # 1135, Marina Del Rey
Audiences: Everyone Is Invited
Posted By: Peter Zamar
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Software-Hardware Co-Design for Efficient Neural Network Acceleration on FPGA
Fri, Jun 23, 2017 @ 10:30 AM - 11:30 PM
Computer Science
Conferences, Lectures, & Seminars
Speaker: Yu Wang, Tsinghua University
Talk Title: Software-Hardware Co-Design for Efficient Neural Network Acceleration on FPGA
Abstract: Artificial neural networks, efficiency compared with general-purpose processors. However, the long development period and insufficient performance of traiditional FPGA acceleration prevent it from wide utilization. We propose a complete design flow to achieve both fast deployment and high energy efficiency for accelerating neural networks on FPGA [FPGA 16, FPGA 17 best paper]. Deep compression and data quantization are employed to exploit the redundancy in algorithm and reduce both computational and memory complexity. Two architecture designs for CNN and DNN/RNN are proposed together with compilation environment. Evaluated on Xilinx Zynq 7000 and Kintex Ultrascale series FPGA with real-world neural networks, up to 15 times higher energy efficiency can be achieved compared with mobile GPU and desktop GPU. Finally, we will discuss the possibilities and trends of adopting emerging NVM technology for efficient learning systems to further improve the energy efficiency.
Biography: Yu Wang is currently a tenured Associate Professor with the Department of Electronic Engineering, Tsinghua University. He received his B.S. degree in 2002 and Ph.D. degree (with honor) in 2007 from Tsinghua University, Beijing. He has published over 150 papers in refereed journals and conferences in Design Automation and FPGA related area. His research interests include brain inspired computing, application specific hardware computing, parallel circuit analysis, and power/reliability aware system design methodology.
Host: Viktor Prasanna, prasanna@usc.edu
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Posted By: Kathy Kassar
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AI Seminar
Fri, Jun 23, 2017 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Kiri Wagstaff, JPL
Talk Title: Mining Mars Targets from the Planetary Science Literature
Abstract: Every day, rovers on Mars send back data for new observation targets (e.g., rocks, soils, layers). Some of these targets yield new discoveries that are published in the scientific literature. Yet there is currently no accessible link between data (or targets) and their subsequent publications. We are building the Mars Target Encyclopedia (MTE) to enable users to ask questions such as "What do we know about target Epworth?" and "What are all of the Mars targets that contain chlorine?" We use information extraction and machine learning methods to mine the steadily growing body of scientific publications and extract compositional knowledge about Mars surface targets. The MTE benefits Mars mission planners, planetary scientists, and the interested public by condensing relevant knowledge into a central resource in an accessible way. More than just a literature search, the MTE allows us to ask new questions that previously could not be answered.
Biography: Dr. Kiri L. Wagstaff is a principal researcher in artificial intelligence and machine learning and a tactical uplink lead for the Mars rover Opportunity at the Jet Propulsion Laboratory. Her research focuses on developing new machine learning and data analysis methods, particularly those that can be used for in situ analysis onboard spacecraft such as orbiters, landers, and rovers. She holds a Ph.D. in Computer Science from Cornell University followed by an M.S. in Geological Sciences from the University of Southern California and an MLIS from San Jose State University. She received a 2008 Lew Allen Award for Excellence in Research for work on the sensitivity of machine learning methods to high-radiation space environments and a 2012 NASA Exceptional Technology Achievement award for work on transient detection methods in radio astronomy data. She is passionate about keeping machine learning relevant to real-world problems.
Host: Mayank Kejriwal
Webcast: http://webcastermshd.isi.edu/Mediasite/Play/1b4d78b79cb3438d8b67b5129a5b3f3b1Location: Information Science Institute (ISI) - 11th floor large conference room
WebCast Link: http://webcastermshd.isi.edu/Mediasite/Play/1b4d78b79cb3438d8b67b5129a5b3f3b1d
Audiences: Everyone Is Invited
Posted By: Kary LAU
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Six Sigma Green Belt for Process Improvement
Tue, Jun 27, 2017
Executive Education
Conferences, Lectures, & Seminars
Speaker: N/A, N/A
Talk Title: Six Sigma Green Belt for Process Improvement
Abstract: Learn how to integrate principles of business, statistics and engineering to achieve tangible results. Master the use of Six Sigma to quantify the critical quality issues in your company. Once the issues have been quantified, statistics can be applied to provide probabilities of success and failure. Six Sigma methods increase productivity and enhance quality. As a Six Sigma green belt, you will be equipped to support and champion a Six Sigma implementation in your organization.
Host: CAPP
More Info: https://gapp.usc.edu/professional-programs/short-courses/industrial-systems/six-sigma-green-belt-process-improvement
Audiences: Registered Attendees
Posted By: Viterbi Professional Programs
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Six Sigma Green Belt for Process Improvement
Wed, Jun 28, 2017
Executive Education
Conferences, Lectures, & Seminars
Speaker: N/A, N/A
Talk Title: Six Sigma Green Belt for Process Improvement
Abstract: Learn how to integrate principles of business, statistics and engineering to achieve tangible results. Master the use of Six Sigma to quantify the critical quality issues in your company. Once the issues have been quantified, statistics can be applied to provide probabilities of success and failure. Six Sigma methods increase productivity and enhance quality. As a Six Sigma green belt, you will be equipped to support and champion a Six Sigma implementation in your organization.
Host: CAPP
More Info: https://gapp.usc.edu/professional-programs/short-courses/industrial-systems/six-sigma-green-belt-process-improvement
Audiences: Registered Attendees
Posted By: Viterbi Professional Programs
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Six Sigma Green Belt for Process Improvement
Thu, Jun 29, 2017
Executive Education
Conferences, Lectures, & Seminars
Speaker: N/A, N/A
Talk Title: Six Sigma Green Belt for Process Improvement
Abstract: Learn how to integrate principles of business, statistics and engineering to achieve tangible results. Master the use of Six Sigma to quantify the critical quality issues in your company. Once the issues have been quantified, statistics can be applied to provide probabilities of success and failure. Six Sigma methods increase productivity and enhance quality. As a Six Sigma green belt, you will be equipped to support and champion a Six Sigma implementation in your organization.
Host: CAPP
More Info: https://gapp.usc.edu/professional-programs/short-courses/industrial-systems/six-sigma-green-belt-process-improvement
Audiences: Registered Attendees
Posted By: Viterbi Professional Programs
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MHI CommNetS seminar
Thu, Jun 29, 2017 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Wuqiang Yang, University of Manchester, UK
Talk Title: Electrical capacitance tomography - making unmeasurable be measurable and controllable
Series: CommNetS
Abstract: In industry, it is difficult to measure some processes, such as multiphase flows in pipelines and gas/solids fluidised beds. In other words, some industrial processes are still unmeasurable and hence uncontrollable. To measure such difficult processes, industrial tomography techniques have been developed. Among various modalities, electrical capacitance tomography (ECT) is the most mature. ECT is based on measuring capacitance from a multiple electrode sensor, which contains multiple dielectric materials, and reconstructing permittivity distribution, from which important parameters can be derived, such as solids' distribution and concentration in a fluidised bed. ECT has been used to measure some processes, which otherwise cannot be measured, and hence makes it possible to control those processes. During this talk, the principle of ECT will be introduced and some challenging industrial applications will be discussed, together with a live demonstration of an AC-based ECT system.
Biography: Wuqiang Yang is a Fellow of the IEEE, Fellow of the Institution of Engineering and Technology (formerly IEE), and Fellow of the Institute of Measurement and Control. He received his BEng, MSc and PhD degrees from Tsinghua University in Beijing. Since 1991, he has been with The University of Manchester (formerly UMIST) in the UK. His main research interests include industrial tomography, electrical capacitance tomography (ECT), image reconstruction and multiphase measurement. The AC-based ECT systems he developed are being used by many universities, research organisations and companies, such as Schlumberger, Rolls Royce and Chinese Academy of Sciences. He has published over 400 papers, is a referee for over 50 journals, Associate Editor of IEEE TIM, editorial board member of 6 journals, guest editor of many journal special issues and visiting professor at several other universities. He is a key organiser of IEEE Int. Conference on Imaging Systems and Techniques.
Host: Prof. S. Joe Qin, Prof. Ashutosh Nayyar
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Posted By: Annie Yu
