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Conferences, Lectures, & Seminars
Events for June
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SERC TALKS: Systems Engineering Research Center
Wed, Jun 01, 2016 @ 10:00 AM - 11:00 PM
Astronautical Engineering, Systems Architecting and Engineering, USC Viterbi School of Engineering
Conferences, Lectures, & Seminars
Speaker: Babak Heydari, Assistant Professor, Stevens Institute of Technology
Talk Title: We Need a New Design Perspective for Socio-Technical systems. Can Complex Network Perspective Be a Viable Candidate?
Series: SERC Talks
Abstract: Complex Socio-technical systems (CSTS) rely on multiple types of localized resources, whose management is a crucial challenge for the optimal performance of the system. These systems are often operated in highly uncertain environments, because of this it is difficult to anticipate demand for resources in various parts of the system at every moment of time; this means that even if the total demand for a resource can be met, achieving an efficient distribution of the resource is not a trivial challenge. The efficient distribution of resources is a strong function of the system architecture, thus modeling this interdependency, that of the architecture and resource allocation mechanisms, becomes an important area of research in CSTS engineering. Having the connectivity structure as a lens in mind, one can ask a host of crucial questions: Which network architectures allow for most efficient resource access under uncertainty? How much the efficient architecture will be different if autonomous components have discretion to choose their interactions, which is the case in many human centric complex systems? How much efficiency can be lost this way? How can the architecture be designed to govern collective behavior of CSTS? i.e. To make them more cooperative, more trustworthy, etc?
In this webinar, we take a complex network perspective to introduce a framework for studying the interactions of (potentially) autonomous system components and the design of the connectivity structure in CSTS to facilitate resource management under uncertainty. We discuss resource sharing as a mechanism that adds a level of flexibility to distributed systems and describe the connectivity structures that enhance components' access to the resources available within the system. We discuss central and a distributed schemes that, respectively, represent systems in which a central planner determines the connectivity structure and systems in which distributed components are allowed to add and sever connections to improve their own resource access. Furthermore, we present how the role of connectivity structure on collective behavior can be captured, modeled, simulated and verified.
NOTE: All Talks will be broadcast on WebEx. For those unable to access WebEx, please register in order to receive dial-in instructions. A copy of the presentation will be made available on the SERC website prior to the session.
Biography: Babak Heydari is an assistant professor at the School of Systems and Enterprises, at Stevens Institute of Technology and the director of Complex Evolving Networked Systems Lab. He holds a PhD in Electrical Engineering from University of California at Berkeley with a minor in management and economics and has three years of industry experience in Silicon Valley. Dr. Heydari has a diverse set of research interests and academic backgrounds and does interdisciplinary research at the intersection of engineering, economics and systems sciences. His current research, is on developing model-driven approach in analysis, design and governance of complex Networked systems. His research interests are network resource sharing formation and diffusion of collective behavior, modularity, emergence and evolution of collective behavior and the co-evolution of structure and behavior in complex networks. His research has been funded by NSF, DARPA, INCOSE, SERC and a number of private corporations. He is the recipient of NSF CAREER Award in 2016.
Host: Systems Engineering Research Center
More Info: http://www.sercuarc.org/
Webcast: https://stevensinstitute.webex.com/mw3100/mywebex/default.do?service=1&siteurl=stevensinstitute&nomenu=true&main_url=%2Fmc3100%2Fe.do%3Fsiteurl%3Dstevensinstitute%26AT%3DMI%26EventID%3D483320817%26UID%3D0%26Host%3DQUhTSwAAAAIQDVMIcs5g1gIM_SzIzC9rsbzM1FWKsLocation: Webex Webinar
Audiences: Everyone Is Invited
Contact: Barry Boehm
Event Link: http://www.sercuarc.org/
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Big Data Industry Seminar (IMSC 20th Anniversary Retreat)
Wed, Jun 01, 2016 @ 03:45 PM - 05:30 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Mark E. Dixon, Farnaz Azmoodeh, Dave Schrader, Ali Khoshgozaran, IBM Global Business Services, Snapchat, Teradata University Network, Teradata University Network
Talk Title: Big Data Industry Seminar
Series: IMSC Big Data Industry Seminar
Abstract: Speaker: Mark E. Dixon
Solutions Architect , Watson Healthcare
IBM Global Business Services
Title: Enthralled by the Immediate - why humans need cognitive systems
The talk asserts that human beings are designed to survive today, but not necessarily tomorrow - we do not do a good job of creating our future our engineered and complex world. The talk offers some examples of vestigal neuroanatomical issues and cognitive challenges we must overcome to proceed in a more enlightened manner.
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Speaker: Farnaz Azmoodeh
Eng. Director on Monetization,
Snapchat
Title: Digital advertising
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Speaker: Dave Schrader
Sports Analytics Educator,
Teradata University Network
Title: Big Data and Sports Analytics
It's the Golden Age of Sports Analytics, especially because of
wearables and better video analytics for Baseball, Basketball,
Football, and Soccer. Big data is also helping improve injury
prediction and prevention - as I'll show using case studies.
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Speaker: Ali Khoshgozaran
CEO,
Tilofy Inc.
Title: Trend Forecasting:
Are You Ready for Your Unfair Advantage?
In a world where data and communication move at the speed of light, businesses struggle to remain relevant due to their inability to stay ahead of every curve. We have built a trend forecasting platform that identifies emerging trends long before they become mainstream to assist businesses in
transforming insights from the future into triggers for the right course of action today.
Host: IMSC
Location: Ronald Tutor Campus Center (TCC) - Grand Ballroom
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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NL Seminar- Memorization and Exploration in Recurrent Neural Language Models
Fri, Jun 03, 2016 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Ke Tran, University of Amsterdam
Talk Title: Memorization and Exploration in Recurrent Neural Language Models
Series: Natural Language Seminar
Abstract: In this talk, I will focus on two important aspects in language modeling: memorization and exploration. First, I will present Recurrent Memory Network, a recurrent language model augmented with an external memory block. I will show that by explicitly addressing the memory, RMN not only amplifies the power of recurrent neural network but also facilitate our understanding of its internal functioning and allows us to discover underlying patterns in data. Furthermore, our experiments demonstrate that using external memory allows RMN capturing sentence coherence better than previous models on sentence completion task. In context of language generation (e.g. using conditional recurrent language models), memorization might hurt the performance of the whole system especially when recurrent models start hallucinating. In the second part, I will present preliminary findings in training neural machine translation (NMT) to avoid this pitfall. Particularly, we allow NMT to explore during training using REINFORCE/deep Q-network/minimum risk training.
Biography: Ke is a third year PhD candidate at University of Amsterdam, advised by Christof Monz and Arianna Bisazza. Before that, he received Msc degree from University of Groningen and Charles University in Prague. He is interested in neural machine translation.
Host: Xing Shi 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
Contact: Peter Zamar
Event Link: http://nlg.isi.edu/nl-seminar/
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Tian Yang Seminar - Friday, June 10th at 2:00pm in EEB 132
Fri, Jun 10, 2016 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Tian Yang, Shanghai Jiao Tong University
Talk Title: Nano-plasmonic sensing: single molecule and single chemical event detection, quantum phonon pumping, and fiber end facet integration
Abstract: Nano-plasmonic sensing devices empower the investigation of chemical structures and dynamic behaviors of molecules, reveal fundamental physics at nanometer scales, and provide key components for advanced analytical instruments.
I will start the talk with an introduction to our peculiar surface enhanced Raman spectroscopy (SERS) measurement method, in which a gold nanosphere-plane junction is excited with the focal spot of a radially polarized laser beam. A SERS electromagnetic enhancement factor of 109~10 has been obtained with a reproducibility of 10+/-0.08, in each hotspot of 9 nm3 volume. The unprecedented simultaneous achievement of ultrahigh SERS enhancement and high reproducibility in deterministic single hotspots opens a path for efficient in-situ investigation of single molecule structures and dynamics. For example, several chemical events on the single molecule level have been observed in real time, including plasmon-driven dimerization of 4-nitrobenzenethiol molecules to dimercaptoazobenzene (DMAB), DMAB desorption, and DMAB trans-cis isomer conformation switching, the last of which has been very difficult to observe even for a collection of molecules in any previous experiments. In addition, by measuring the SERS scattering off a monolayer of malachite green isothiocyanate molecules in a single hotspot, we identify a nonlinear dependence of SERS intensity on the laser power, against the common concept that SERS is a linear process. Further, the nonlinear behavior contains multiple heterogeneous stages, which arises from the quantum nature of molecular vibration and stimulated phonon emission.
In the second part of the talk, I shall show our work on integrating nano-plasmonic sensing devices on single-mode optical fiber end facets. Compared with free-space and chip based devices, single-mode fiber end facet devices have the advantages of simple and flexible light delivery, leveraging fiber-optic communication technologies, and compact systems. A plasmonic crystal cavity structure has been designed to improve the refractive index sensing capability under optical fiber guided mode, and a glue-and-strip method has been developed to transfer the plasmonic nano film from a flat substrate to the fiber end facet. A limit of detection of 3.5x10-6 RIU has been obtained, which is two orders of magnitude lower than any reported plasmonic sensors on (multi-mode) fiber end facets. A prototype instrument has been built to demonstrate real-time monitoring of the kinetic interaction process between Human Immunoglobulin G protein (hIgG) and its binding partner anti-hIgG.
Biography: Tian Yang is currently a tenure-track Associate Professor at the University of Michigan - Shanghai Jiao Tong University Joint Institute. He got the B.S. degree in Electrical Engineering from Tsinghua University in 2000, the Ph.D. degree in Electrical Engineering from the University of Southern California in 2006, took a postdoctoral fellow then research associate position at Harvard University from 2006-2009, and joined Shanghai Jiao Tong University in 2009.
His expertise lies in the areas of optoelectronics and nanotechnology. He has worked on semiconductor nano lasers for photonic integrated circuits, microfluidics integrated nano optical sensors for sensitive biomolecule detection, single molecule and single chemical event detection by enhanced Raman spectroscopy, and fiber-optic integrated biomolecule sensing and chemical trace detection.
Host: EE-Electrophysics
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
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NL Seminar-Doing stuff with LSTMs
Fri, Jun 10, 2016 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Yoav Goldberg, (Bar Ilan University, Israel)
Talk Title: Doing stuff with LSTMs
Series: Natural Language Seminar
Abstract: Abstract: While deep learning methods in NLP are arguably overhyped, recurrent neural networks (RNNs), and in particular LSTM networks, emerge as very capable learners for sequential data. Thus, my group started using them everywhere. After briefly explaining what they are and why they are cool, I will describe some recent work in which we use LSTMs as a building block: learning a shared representation in a multi-task setting; learning feature representations for syntactic parsing; and learning to detect hypernyms in a large corpus. Most work achieve state of the art results. I will also describe a work which reviewers seem to hate but I really like in which we try to shed some light on what's being captured by LSTM-based sentence representations.
Biography: Yoav Goldberg is a senior lecturer in Computer Science at Bar Ilan University, Israel, working on natural language processing. Prior to that he was a research scientist at Google. Before deep learning took over he used to work on syntactic parsing and structured prediction. He still does, but now he uses some new shiny tools which he is trying to understand and refine.
Host: Xing Shi and Kevin Knight
More Info: http://nlg.isi.edu/nl-seminar/
Webcast: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=3d82a6274df44b89a94f376c0c9630f71dLocation: Information Science Institute (ISI) - 11th Flr Conf Rm # 1135, Marina Del Rey
WebCast Link: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=3d82a6274df44b89a94f376c0c9630f71d
Audiences: Everyone Is Invited
Contact: Peter Zamar
Event Link: http://nlg.isi.edu/nl-seminar/
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Six Sigma Green Belt for Process ImprovementTue, Jun 21, 2016
DEN@Viterbi, Executive Education
Conferences, Lectures, & Seminars
Abstract: Course Dates: June 21-23, 2016
Available: On-campus or Online with Interactivity
This program, an introductory course in Six Sigma, will give you a thorough understanding of Six Sigma and its focus on eliminating defects through fundamental process knowledge. Topics covered in addition to DMAIIC and Six Sigma philosophy include basic statistics, statistical process control, process capability, financial implications and root cause analysis.
More Info: https://gapp.usc.edu/professional-programs/short-courses/industrial-systems/six-sigma-green-belt-process-improvement
Audiences: Registered Attendees
Contact: Viterbi Professional Programs
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Six Sigma Green Belt for Process Improvement
Wed, Jun 22, 2016
DEN@Viterbi, Executive Education
Conferences, Lectures, & Seminars
Abstract: Course Dates: June 21-23, 2016
Available: On-campus or Online with Interactivity
This program, an introductory course in Six Sigma, will give you a thorough understanding of Six Sigma and its focus on eliminating defects through fundamental process knowledge. Topics covered in addition to DMAIIC and Six Sigma philosophy include basic statistics, statistical process control, process capability, financial implications and root cause analysis.
More Info: https://gapp.usc.edu/professional-programs/short-courses/industrial-systems/six-sigma-green-belt-process-improvement
Audiences: Registered Attendees
Contact: Viterbi Professional Programs
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MRI of Bound and Pore Water Concentration in Cortical Bone
Wed, Jun 22, 2016 @ 10:30 AM - 11:30 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Mary Katherine Mansard, Ph.D., Vanderbilt University
Talk Title: MRI of Bound and Pore Water Concentration in Cortical Bone
Series: Medical Imaging Seminar Series
Abstract: The current standard for diagnosing fracture risk comprises measurements of bone mineral density (BMD), primarily by dual-energy X-ray absorptiometry (DXA). However, bone strength is affected by many factors other than BMD, such as architecture, collagen content, and porosity. Nuclear magnetic resonance (NMR) measures of the water bound to the collagen matrix (bound water) and free water occupying pore space (pore water) have shown promise in further assessing fracture risk. The work presented here translates NMR based techniques into Magnetic Resonance Imaging (MRI) methods using an ultra-short echo time (UTE) acquisition; the Double Adiabatic Full Passage (DAFP) sequence for measuring pore water concentration and the Adiabatic Inversion Recovery (AIR) sequence to measure bound water concentration. These imaging methods can be used to obtain maps of bound and pore water content throughout the cortical bone volume. MRI methods were first validated against NMR methods and shown to have good repeatability in vivo, and then were compared to whole bone material properties and found to show significant correlations with strength and toughness. The AIR and DAFP methods, initially carried out with 3D data acquisition, were further improved by implementing half-pulse 2D UTE sequences which significantly reduced scan times to under a minute. The sequences are now being applied in populations of healthy and osteoporotic patients for longitudinal evaluation. In short, measures of bound and pore water concentration have the potential to give a new and more thorough evaluation of bone characteristics and health that is not obtainable with currently used methods.
Biography: Mary Kate Manhard received her B.S. degree in Electrical Engineering from Clemson University in 2010 and completed her Ph.D. at Vanderbilt in Biomedical Engineering under the direction of Dr. Mark Does in 2016. She is a member of the Vanderbilt University Institute of Imaging Science, and her research focuses on using Magnetic Resonance Imaging (MRI) to probe cortical bone characteristics as a potential predictor of fracture risk. She has implemented bone imaging protocols for a 3T Philips clinical scanner, and has verified that MRI bone measurements report on ex vivo material properties of bone. Recently, she has been applying her work to osteoporotic patients to assess response to treatment using bone MRI measurements.
Host: Professor Krishna Nayak
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Talyia White
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Six Sigma Green Belt for Process Improvement
Thu, Jun 23, 2016
DEN@Viterbi, Executive Education
Conferences, Lectures, & Seminars
Abstract: Course Dates: June 21-23, 2016
Available: On-campus or Online with Interactivity
This program, an introductory course in Six Sigma, will give you a thorough understanding of Six Sigma and its focus on eliminating defects through fundamental process knowledge. Topics covered in addition to DMAIIC and Six Sigma philosophy include basic statistics, statistical process control, process capability, financial implications and root cause analysis.
More Info: https://gapp.usc.edu/professional-programs/short-courses/industrial-systems/six-sigma-green-belt-process-improvement
Audiences: Registered Attendees
Contact: Viterbi Professional Programs
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NL Seminar-Neural network models for structured prediction
Thu, Jun 23, 2016 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Yue Zhang, Singapore University of Technology and Design
Talk Title: Neural network models for structured prediction
Series: Natural Language Seminar
Abstract: Transition-based methods leverage non-local features for structured tasks. When combined with beam search and global structure learning, they give high accuracies for a number of NLP tasks. We investigate the effectiveness of neural network models for transition-based parsing and Chinese word segmentation. Results show that automatic features induced by neural models give higher accuracies than carefully designed manual features. The beam search and perceptron learning framework of Zhang and Clark (2011) can be used with neural network models. However, large margin training does not always work. When the number of labels are many, a maximum likelihood training objective with contrastive estimation learning gives better accuracies.
Biography: Yue Zhang is currently an assistant professor at Singapore University of Technology and Design. Before joining SUTD in July 2012, he worked as a postdoctoral research associate in University of Cambridge, UK. Yue Zhang received his DPhil and MSc degrees from University of Oxford, UK, and his BEng degree from Tsinghua University, China. His research interests include natural language processing, machine learning and artificial Intelligence. He has been working on statistical parsing, parsing, text synthesis, machine translation, sentiment analysis and stock market analysis intensively. Yue Zhang serves as the reviewer for top journals such as Computational Linguistics, Transaction of Association of Computational Linguistics and Journal of Artificial Intelligence Research. He is also PC member for conferences such as ACL, COLING, EMNLP, NAACL, EACL, AAAI and IJCAI. Recently, he was the area chairs of COLING 2014, NAACL 2015 and EMNLP 2015.
Host: Xing Shi and Kevin Knight
More Info: http://nlg.isi.edu/nl-seminar/
Location: Information Science Institute (ISI) - 6th Floor -CR # 689; ISI-Marina del Rey
Audiences: Everyone Is Invited
Contact: Peter Zamar
Event Link: http://nlg.isi.edu/nl-seminar/
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CS Seminar: Justine Sherry (UC Berkeley) - Middleboxes As A Cloud Service
Fri, Jun 24, 2016 @ 02:00 PM - 03:30 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Justine Sherry, UC Berkeley
Talk Title: Middleboxes As A Cloud Service
Series: CS Seminar Series
Abstract: Today's networks do much more than merely deliver packets. Through the deployment of middleboxes, enterprise networks today provide improved security -- e.g., filtering malicious content -- and performance capabilities -- e.g., caching frequently accessed content. Although middleboxes are deployed widely in enterprises, they bring with them many challenges: they are complicated to manage, expensive, prone to failures, and challenge privacy expectations.
In this talk, we aim to bring the benefits of cloud computing to networking. We argue that middlebox services can be outsourced to cloud providers in a similar fashion to how mail, compute, and storage are today outsourced. We begin by presenting APLOMB, a system that allows enterprises to outsource middlebox processing to a third party cloud or ISP. For enterprise networks, APLOMB can reduce costs, ease management, and provide resources for scalability and failover. For service providers, APLOMB offers new customers and business opportunities, but also presents new challenges. Middleboxes have tighter performance demands than existing cloud services, and hence supporting APLOMB requires redesigning software at the cloud. We re-consider classical cloud challenges including fault-tolerance and privacy, showing how to implement middlebox software solutions with throughput and latency 2-4 orders of magnitude more efficient than general-purpose cloud approaches. Some of the technologies discussed in this talk are presently being adopted by industrial systems used by cloud providers and ISPs
Biography: Justine Sherry is a computer scientist and doctoral candidate at UC Berkeley. She will be starting as an assistant professor in the computer science department at Carnegie Mellon in July 2017. Her interests are in computer networking; her work includes middleboxes, networked systems, measurement, cloud computing, and congestion control. Justine's dissertation focuses on new opportunities and challenges arising from the deployment of middleboxes -- such as firewalls and proxies -- as services offered by clouds and ISPs. Justine received her MS from UC Berkeley in 2012, and her BS and BA from the University of Washington in 2010. She is an NSF Graduate Research Fellow, has won paper awards from both USENIX NSDI and ACM SIGCOMM, and is always on the lookout for a great cappuccino.
Host: Ethan Katz-Bassett
Location: Henry Salvatori Computer Science Center (SAL) - 213
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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Lean Green Belt
Tue, Jun 28, 2016
DEN@Viterbi, Executive Education
Conferences, Lectures, & Seminars
Abstract: Course Dates
June 28-30, 2016
This three-day course provides an in-depth understanding of lean enterprise principles and how to apply them within your organization. Your lean journey begins with a series of interactive simulations that demonstrate how each lean concept is applied and its impact on the process. Mapping the process flow and identifying the activities that add value from the customer's perspective is the cornerstone of this class. The class is then given a scenario and the students simulate the conversion from traditional to lean in a practical hands-on environment.
The course also provides a structure for how to manage a lean process for continuous improvement. Participants will learn how to structure their organizations to support and continuously improve a lean process. Participants will also fully understand how to implement 5S within their plants and how to begin reducing setup time using the SMED process.
More Info: https://gapp.usc.edu/professional-programs/short-courses/industrial-systems/lean-green-belt
Audiences: Registered Attendees
Contact: Viterbi Professional Programs
Event Link: https://gapp.usc.edu/professional-programs/short-courses/industrial-systems/lean-green-belt
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Lean Green Belt
Wed, Jun 29, 2016
DEN@Viterbi, Executive Education
Conferences, Lectures, & Seminars
Abstract: Course Dates
June 28-30, 2016
This three-day course provides an in-depth understanding of lean enterprise principles and how to apply them within your organization. Your lean journey begins with a series of interactive simulations that demonstrate how each lean concept is applied and its impact on the process. Mapping the process flow and identifying the activities that add value from the customer's perspective is the cornerstone of this class. The class is then given a scenario and the students simulate the conversion from traditional to lean in a practical hands-on environment.
The course also provides a structure for how to manage a lean process for continuous improvement. Participants will learn how to structure their organizations to support and continuously improve a lean process. Participants will also fully understand how to implement 5S within their plants and how to begin reducing setup time using the SMED process.
More Info: https://gapp.usc.edu/professional-programs/short-courses/industrial-systems/lean-green-belt
Audiences: Registered Attendees
Contact: Viterbi Professional Programs
Event Link: https://gapp.usc.edu/professional-programs/short-courses/industrial-systems/lean-green-belt
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Lean Green Belt
Thu, Jun 30, 2016
DEN@Viterbi, Executive Education
Conferences, Lectures, & Seminars
Abstract: Course Dates
June 28-30, 2016
This three-day course provides an in-depth understanding of lean enterprise principles and how to apply them within your organization. Your lean journey begins with a series of interactive simulations that demonstrate how each lean concept is applied and its impact on the process. Mapping the process flow and identifying the activities that add value from the customer's perspective is the cornerstone of this class. The class is then given a scenario and the students simulate the conversion from traditional to lean in a practical hands-on environment.
The course also provides a structure for how to manage a lean process for continuous improvement. Participants will learn how to structure their organizations to support and continuously improve a lean process. Participants will also fully understand how to implement 5S within their plants and how to begin reducing setup time using the SMED process.
More Info: https://gapp.usc.edu/professional-programs/short-courses/industrial-systems/lean-green-belt
Audiences: Registered Attendees
Contact: Viterbi Professional Programs
Event Link: https://gapp.usc.edu/professional-programs/short-courses/industrial-systems/lean-green-belt
