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Conferences, Lectures, & Seminars
Events for December

  • Seminars in Biomedical Engineering

    Mon, Dec 02, 2013 @ 12:30 PM - 01:50 PM

    Alfred E. Mann Department of Biomedical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Michelle Khine, PhD, Asst. Professor of Biomedical Engineering, UC- Irvine

    Talk Title: “SMART: Shrink Manufacturing Advanced Research Tools”

    Host: Michael Khoo

    Location: Olin Hall of Engineering (OHE) - 122

    Audiences: Everyone Is Invited

    Contact: Mischalgrace Diasanta

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  • Dr. rer. nat. Alexander Kleiner (Linköping University, Sweden) - Collaborative Robotics

    Mon, Dec 02, 2013 @ 03:45 PM - 05:00 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Dr. rer. nat. Alexander Kleiner, Dept. of Computer and Information Science Linköping University, Sweden

    Talk Title: Collaborative Robotics

    Abstract: Increasingly cheaper computer technology, as well as sensor and actuator systems in robotics today are paving the way for large teams of collaborating robots. The coordination of large robot teams leads to almost intractable combinatorial problems as they were never relevant in practice before. Therefore, there exists an increasing demand for time efficient approaches that are capable of solving heavy combinatorial problems as they appear in robotics and multi-agent systems today. Such problems arise, for example, in the application domains of manufacturing and intra-logistics where numerous mobile robots need to actively collaborate for managing transportation tasks. Also in search and rescue (SAR) robot coordination becomes computationally challenging with larger robot teams searching for either stationary or mobile targets, for example, when coordinating a team of unmanned aerial vehicles (UAVs) searching for lost hikers in the Alps. In this talk I will provide an overview on cognitive methods that I developed during the last years for facilitating successful collaboration in robot teams. I will provide examples from two target domains which are collaborative robots handling transportation tasks in intra-logistics, and teams of UAVs searching for survivors in Search and Rescue.

    Biography: Alexander Kleiner is Universitetslektor (Assistant Professor) in the AIICS research division and leads the group on Collaborative Robotics at Linköping. He received his Ph.D. from the University of Freiburg in February 2008 and worked as an invited guest researcher at the Carnegie Mellon University, Pittsburgh, USA in 2010 and at the La Sapienza University, Rome, Italy in 2011. Since 2006, he is member of the executive committee of RoboCup (Rescue Simulation League). His research areas are autonomous robot exploration, simultaneous localization and mapping (SLAM), and mixed-initiative teams of humans and multi-robot systems. The main concern of his work is on developing reliable multi-robot/multi-agent teams coordinating and acting in real-time, and to contribute in the development of performance metrics for benchmarking their real-world applicability. He successfully participated in several international robot competitions where his teams won several times the first prize.

    Host: USC CRES

    Location: Ronald Tutor Hall of Engineering (RTH) - 406

    Audiences: Everyone Is Invited

    Contact: Assistant to CS chair

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  • Repeating EventSix Sigma Green Belt for Process Improvement

    Tue, Dec 03, 2013 @ 09:00 AM - 05:00 PM

    Executive Education

    Conferences, Lectures, & Seminars


    Speaker: TBA, Viterbi School of Engineering

    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. To earn the Six Sigma Green Belt Certificate, you will be required to pass the Institute of Industrial Engineer's green belt exam (administered on the final day of the course).

    During this course you will have the opportunity to apply what you have learned to an actual issue you face in your organization. Prior seminar participants have reported significant savings from implementing their projects.

    *A financial services organization saw $128,000 in cost savings per quarter when they reduced transaction processing rework
    *A state agency reduced project cost over-runs by 28 percent
    *A transportation company saved more than $875,000 per year in turnover costs by improving the employee communications process
    *Reduced errors in a painting operation led to increased first pass acceptance and more than $197,000 in annual savings
    *A Web developer increased annual profits by 10 percent by cutting cycle time
    *A wave solder operation saw defects reduced by half and costs reduced by $60,000 per year

    Host: Corporate and Professional Programs

    More Info: http://gapp.usc.edu/professional-programs/short-courses/industrial%2526systems/six-sigma-green-belt-process-improvement

    Audiences: Registered Attendees

    View All Dates

    Contact: Viterbi Professional Programs

    Event Link: http://gapp.usc.edu/professional-programs/short-courses/industrial%2526systems/six-sigma-green-belt-process-improvement

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  • Epstein Institute / ISE 651 Seminar Series

    Tue, Dec 03, 2013 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Patricia Flatley Brennan, Lillian L. Moehlman Bascom Professor, School of Nursing and College of Engineering, University of Wisconsin-Madison, RN, PhD

    Talk Title: A Context-Based Health Information Needs Assessment Strategy

    Abstract: Accelerating the design of technologies to support health in the home requires 1) better understanding of how the household context shapes consumer health behaviors and (2) the opportunity to afford engineers, designers and health professionals the chance to systematically study the home environment. We developed the Living Environments Laboratory (LEL) with a fully immersive, six-sided virtual reality CAVE to enable recreating of a broad range of household environments. We have successfully developed a virtual apartment, including a kitchen, living space and bathroom. Yet these spaces lack the accouterments of actual homes, characterized by clutter, personal decorations, and casual organization of furniture. In order to better understand how household context shapes personal health information management we will undertake an extensive study of 20 households addressing the social, physical, psychological, technical and health services context of PHIM, including creating detailed photographic, video, and 3D reconstructions of these households in a virtual reality CAVE; (2) through recursive immersive exploration in the CAVE, enumerate the features of these households that shape PHIM; (3) enlist 20 people self-identified with diabetes in a requirements validation activity in the CAVE; (4) engage 60 people with diabetes in an experimental evaluation of these indicators and (5) use all of these results to develop and evaluate, in a field assessment of 200 households, an Assessment of the Context of Home Environments inventory. The reference set of 20 virtual homes will be distributed through Creative Commons for repeated studies by designers. We will also make available the Assessment of the Context of Home Environments (ACHE) protocol for rapid assessments of the home context. This interdisciplinary project brings together nurses, engineers, computer scientists, and health services researchers to explicate how the home context shapes health information needs and can be used to guide the design of consumer health information management solutions.

    Supported by a grant from the Agency for Healthcare Research and Quality, R01 HS022548

    TUESDAY, DECEMBER 03, 2013
    OLIN HALL OF ENGINEERING (OHE) ROOM 100D
    3:30 - 4:50 PM


    Biography: Patricia Flatley Brennan, RN, PhD, is the Lillian L. Moehlman Bascom Professor, School of Nursing and College of Engineering, University of Wisconsin-Madison, Madison, Wisconsin. Dr. Brennan received a Masters of Science in Nursing from the University of Pennsylvania and a PhD in Industrial Engineering from the University of Wisconsin-Madison. She developed several innovative home care computer and HIT innovations, including ComputerLink, and HeartCare, and is National Program Director of Project HealthDesign. Brennan elaborated the broad range of patient-generated data including home-based sensors, self-monitoring devices, and Observations of Daily Living. Brennan leads the Living Environments Laboratory at the Wisconsin Institutes for Discovery, which includes a 6-sided virtual reality CAVE that her group uses to re-create visually every environment on earth, and develop new ways for effective visualization of high dimensional data. She is fellow of both the American Academy of Nursing (1991) and the American College of Medical Informatics (1993). Dr. Brennan was elected to the Institute of Medicine in 2002, and in 2009 became an elected member of the New York Academy of Medicine.

    Host: Daniel J. Epstein Department of Industrial and Systems

    More Information: Seminar-Brennan.pdf

    Location: Olin Hall of Engineering (OHE) - 100D

    Audiences: Everyone Is Invited

    Contact: Neha Mundada

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  • Repeating EventSix Sigma Green Belt for Process Improvement

    Wed, Dec 04, 2013 @ 09:00 AM - 05:00 PM

    Executive Education

    Conferences, Lectures, & Seminars


    Speaker: TBA, Viterbi School of Engineering

    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. To earn the Six Sigma Green Belt Certificate, you will be required to pass the Institute of Industrial Engineer's green belt exam (administered on the final day of the course).

    During this course you will have the opportunity to apply what you have learned to an actual issue you face in your organization. Prior seminar participants have reported significant savings from implementing their projects.

    *A financial services organization saw $128,000 in cost savings per quarter when they reduced transaction processing rework
    *A state agency reduced project cost over-runs by 28 percent
    *A transportation company saved more than $875,000 per year in turnover costs by improving the employee communications process
    *Reduced errors in a painting operation led to increased first pass acceptance and more than $197,000 in annual savings
    *A Web developer increased annual profits by 10 percent by cutting cycle time
    *A wave solder operation saw defects reduced by half and costs reduced by $60,000 per year

    Host: Corporate and Professional Programs

    More Info: http://gapp.usc.edu/professional-programs/short-courses/industrial%2526systems/six-sigma-green-belt-process-improvement

    Audiences: Registered Attendees

    View All Dates

    Contact: Viterbi Professional Programs

    Event Link: http://gapp.usc.edu/professional-programs/short-courses/industrial%2526systems/six-sigma-green-belt-process-improvement

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  • Fundamental Limits and Optimal Algorithms for RNA Transcriptome Assembly

    Wed, Dec 04, 2013 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Sreeram Kannan, University of California, Berkeley

    Talk Title: Fundamental Limits and Optimal Algorithms for RNA Transcriptome Assembly

    Abstract: High throughput sequencing of RNA transcripts has emerged in the last few years as a powerful method that enables discovery of novel transcripts and alternatively spliced isoforms of genes, along with accurate estimates of gene expression. In this paper, we study the fundamental limits of de novo transcriptome assembly using RNA shotgun-sequencing, where short reads are obtained from the RNA transscripts. We propose a new polynomial-time algorithm for transcriptome assembly and derive sufficient conditions on the length of reads under which the algorithm will succeed. We then compare them with necessary conditions that we derive for reconstruction by any algorithm, and show that the proposed algorithm is near-optimal on a real data set. Along the way, we study a problem of deducing end-to-end network flows using link-level observations, and prove new results for this model. In particular, we show that while the problem is NP-hard in general, the instances we encounter from the biological problem can be solved in near-linear time.

    Biography: Sreeram Kannan is a postdoctoral researcher at the University of California, Berkeley. He received his Ph.D. in Electrical Engineering and M.S. in mathematics from the University of Illinois Urbana- Champaign. He is a co-recipient of the Van Valkenburg research award from UIUC, Qualcomm Roberto Padovani Scholarship, the first prize in Qualcomm Cognitive Radio Contest, the S.V.C. Aiya medal from the Indian Institute of Science, and Intel India Student Research Contest first prize. His research interests include applications of information theory and approximation algorithms to wireless networks and, more recently, to computational biology.

    Host: Giuseppe Caire, caire@usc.edu EEB 540, x04683

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

    Audiences: Everyone Is Invited

    Contact: Gerrielyn Ramos

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  • Repeating EventSix Sigma Green Belt for Process Improvement

    Thu, Dec 05, 2013 @ 09:00 AM - 05:00 PM

    Executive Education

    Conferences, Lectures, & Seminars


    Speaker: TBA, Viterbi School of Engineering

    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. To earn the Six Sigma Green Belt Certificate, you will be required to pass the Institute of Industrial Engineer's green belt exam (administered on the final day of the course).

    During this course you will have the opportunity to apply what you have learned to an actual issue you face in your organization. Prior seminar participants have reported significant savings from implementing their projects.

    *A financial services organization saw $128,000 in cost savings per quarter when they reduced transaction processing rework
    *A state agency reduced project cost over-runs by 28 percent
    *A transportation company saved more than $875,000 per year in turnover costs by improving the employee communications process
    *Reduced errors in a painting operation led to increased first pass acceptance and more than $197,000 in annual savings
    *A Web developer increased annual profits by 10 percent by cutting cycle time
    *A wave solder operation saw defects reduced by half and costs reduced by $60,000 per year

    Host: Corporate and Professional Programs

    More Info: http://gapp.usc.edu/professional-programs/short-courses/industrial%2526systems/six-sigma-green-belt-process-improvement

    Audiences: Registered Attendees

    View All Dates

    Contact: Viterbi Professional Programs

    Event Link: http://gapp.usc.edu/professional-programs/short-courses/industrial%2526systems/six-sigma-green-belt-process-improvement

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  • Lyman L. Handy Colloquia: Pd-based Composite Membranes for Hydrogen Separation and Reaction - Laboratory to Commercialization

    Lyman L. Handy Colloquia: Pd-based Composite Membranes for Hydrogen Separation and Reaction - Laboratory to Commercialization

    Thu, Dec 05, 2013 @ 12:45 PM - 01:50 PM

    Mork Family Department of Chemical Engineering and Materials Science

    Conferences, Lectures, & Seminars


    Speaker: Yi Hua Ma, Center for Inorganic Membrane Studies, Department of Chemical Engineering Worcester Polytechnic Institute

    Talk Title: Pd-based Composite Membranes for Hydrogen Separation and Reaction - Laboratory to Commercialization

    Series: Lyman L. Handy Colloquia

    Abstract: Developing technologies which can economically produce hydrogen with CO2 at high pressures suitable for sequestration is of great importance to the hydrogen production and to protecting our environment. Pd-based membrane separators and reactors can satisfy both requirements. We have devoted considerable effort to develop Pd based hydrogen separator and WGS (water gas shift) catalytic membrane reactor for IGCC (Integrated gasification combined cycle) and steam reforming applications and have been studying the characteristics and stability of composite Pd based membranes not only in the laboratory but also in actual coal derived syngas atmospheres at the US Department of Energy sponsored National Carbon Capture Center (NCCC) in Wilsonville, Alabama.
    This presentation will provide an overview of the basis of composite Pd and Pd/alloy membranes for hydrogen separations with a special emphasis on the method of electroless plating for the membrane preparation. In addition, the fundamental studies carried out in our laboratory on membrane synthesis, characterization and long-term membrane stability of Pd and Pd/alloy membranes supported on porous stainless steel (PSS) will be presented. The concept we developed for improving the long-term thermal stability of composite Pd and Pd/alloy PSS membranes by the controlled in-situ oxidation of the PSS substrate to create an intermetallic diffusion barrier layer in conjunction with pore grading technique will be described. In addition, the field tests results obtained at NCCC using syngas from an actual coal gasifier showed that high H2 purity in excess of 99.89% could be achieved for over 200 h in the syngas at 12.6 bar and 450°C, representing significant advancement and breakthrough results, never reported before in the pertinent literature for the application of composite Pd membranes for H2 production from coal gas.
    The presentation will conclude with a brief discussion on the perspective of the commercialization of the technology.

    Host: Prof. Tsotsis

    Location: James H. Zumberge Hall Of Science (ZHS) - 159

    Audiences: Everyone Is Invited

    Contact: Ryan Choi

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  • AI Seminar- Yolanda Gil: "Discovery Informatics: Intelligent Systems for Science Innovation"

    Fri, Dec 06, 2013 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Yolanda Gil, Information Sciences Institute and Department of Computer Science - USC

    Talk Title: "Discovery Informatics: Intelligent Systems for Science Innovation"

    Series: Artificial Intelligence Seminar

    Abstract: Although recent advances in computing have resulted in a data-centered revolution in science practice, I believe it will be dwarfed by what is ahead. While orders of magnitude improvements in network bandwidth, computing, and distributed sensing are pushing the envelope in the scale of the scientific phenomena that can be studied, the human component of science has been largely unaddressed and is increasingly becoming a bottleneck to progress. Scientists still largely drive scientific processes but it is increasingly challenging to manage the scale and complexity of modern discovery processes. This has created great opportunities for artificial intelligence to make scientific processes more efficient and to break new barriers in the complexity of the problems that can be tackled. In this talk, I will describe our current research on intelligent workflow systems that provide assistance and automation for complex data analysis processes. I will illustrate new capabilities that are enabled by coupling semantic representations of processes and data. I will describe our work on semantic workflow systems to assist scientists to create valid workflows, and to automate workflow generation given high-level user guidance. Semantic workflows are an example of provenance-aware infrastructure for science, where metadata is used and generated as the data is being processed. I will discuss our new work on organic data science, where communities of scientists can describe data analysis processes explicitly as a platform for collaboration. I will also introduce the nascent discipline of Discovery Informatics that is catalyzing relevant research in artificial intelligence, visualization, data analytics, and social computing with the goal of improving and innovating science processes to accelerate discoveries.




    Biography: Dr. Yolanda Gil is Director of Knowledge Technologies at the Information Sciences Institute of the University of Southern California, and Research Professor in the Computer Science Department. She received her M.S. and Ph. D. degrees in Computer Science from Carnegie Mellon University. Her research interests include intelligent user interfaces, knowledge-rich problem solving, and social knowledge collection. Her most recent work focuses on intelligent workflow systems to support collaborative data analytics at scale. She recently led the W3C Provenance Group that charted a community standardization effort in this area. She was elected Fellow of the American Association of Artificial Intelligence (AAAI) in 2012. She is Chair of ACM SIGART, the Association for Computing Machinery's Special Interest Group on Artificial Intelligence.

    WEB SITE:
    http://www.isi.edu/~gil

    Host: David Chiang

    More Info: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=641f42b948ed4a129c7e2ddfe3ef011b1d

    Webcast: TBA

    Location: Information Science Institute (ISI) - 11th Flr Conf Rm # 1135, Marina Del Rey

    WebCast Link: TBA

    Audiences: Everyone Is Invited

    Contact: Peter Zamar

    Event Link: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=641f42b948ed4a129c7e2ddfe3ef011b1d

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  • NL Seminar- Shiwali Mohan: "Learning Hierarchical Tasks from Situated Interactive Instruction"

    Fri, Dec 06, 2013 @ 03:00 PM - 04:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Shiwali Mohan, University of Michigan

    Talk Title: "Learning Hierarchical Tasks from Situated Interactive Instruction"

    Series: Natural Language Seminar

    Abstract: Our research aims at building interactive robots and agent that can expand their knowledge by interacting with human users. In this talk, I will give an overview of our ongoing work on learning novel tasks from linguistic, mixed-initiative instructions. The first part of the talk will address the problems of situated language comprehension for cognitive agents in real-world environments. The second part will focus on task learning. I will discuss the knowledge representations we employ to represent hierarchical, goal-oriented tasks and how this knowledge can be learned from interactions using an explanation-based learning framework.



    Biography: Shiwali Mohan is a Ph.D. candidate in the department of Computer Science and Engineering at the University of Michigan, Ann Arbor. Her research interests include situated language, interactive learning, and cognitive systems.

    Homepage: http://www.shiwali.me/

    Host: Yang Gao

    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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  • Integrated Systems Seminar Series

    Fri, Dec 06, 2013 @ 03:30 PM - 05:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Babak Parviz, Google Inc

    Talk Title: Google Glass, why and why now?

    Series: Integrated Systems Seminar Series

    Abstract: Google Glass is a new communication and computing device in an unconventional form factor that can enable entirely new ways of interacting with computing systems and the environment. It integrates a number of sophisticated components in a very compact form factor and offers very rapid access to information and connectivity.


    This brief presentation provides the background and some of the reasoning for why the team at Google embarked on developing this platform and highlights a number of unique aspects of this new form of computing.



    Biography: BabakParviz is the creator of Google Glass and a director at Google X. He received his BA in Literature from University of Washington, BS in Electronics from Sharif University of Technology, MS degrees in Electrical Engineering and Physics from University of Michigan, PhD in Electrical Engineering from Univ. of Michigan; and completed his postdoctoral fellowship in Chemistry and Chemical Biology at Harvard. His research and engineering interests span novel computing and communication paradigms, bionanotechnology, bioengineering, MEMS, and photonics. His work has been put on display at the London Museum of Science and has received numerous recognitions and awards including NSF Career Award, MIT TR35, Time magazine’s best invention of the year(2008 and 2012), Your Health Top 10 Medical advance of the year, and About.com top invention and has been reported on in thousands of articles worldwide. In 2012 he was selected by Ad Age as one of the 50 most creative people in the United States.

    Host: Hossien Hashemi, Mike Chen, Mahta Moghaddam, Kunal Datta

    More Info: http://mhi.usc.edu/activities/integrated-systems/

    More Information: Babak Parviz_Flyer.pdf

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 248

    Audiences: Everyone Is Invited

    Contact: Danielle Hamra

    Event Link: http://mhi.usc.edu/activities/integrated-systems/

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  • Astani CEE Ph.D. Seminar

    Fri, Dec 06, 2013 @ 04:00 PM - 05:00 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars


    Speaker: Elhma Hemmat Abiri and Nima Jabbbari, Ph.D. Candidates,

    Talk Title: CEE PH.D. Seminar Presentation

    Abstract: TBA

    Location: John Stauffer Science Lecture Hall (SLH) - 102

    Audiences: Everyone Is Invited

    Contact: Evangeline Reyes

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  • AI Seminar-Kiri Wagstaff: "Automated data prioritization and explanation for scientific discovery of Martian minerals, exoplanets, and more"

    Fri, Dec 06, 2013 @ 11:00 PM - 01:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Kiri Wagstaff, Jet Propulsion Laboratory-NASA

    Talk Title: "Automated data prioritization and explanation for scientific discovery of Martian minerals, exoplanets, and more"

    Series: Artificial Intelligence Seminar

    Abstract: Inundated by terabytes of data flowing from telescopes, microscopes, DNA sequencers, etc., scientists in various disciplines have a need for automated methods for prioritizing data for review. Which observations are most interesting or unusual, and why?

    I will describe DEMUD (Discovery by Eigenbasis Modeling of Uninteresting Data), which iteratively prioritizes items from large data sets to provide a diverse traversal of interesting items. By modeling what the user already knows and/or has already seen, DEMUD can focus attention on the unexpected, facilitating new discoveries. Uniquely, DEMUD also provides a domain-relevant explanation for each selected item that indicates why it stands out. DEMUD's explanations offer a first step towards automated interpretation of scientific data discoveries.

    We are using DEMUD in collaboration with scientists from the Mars Science Laboratory, the Mars Reconnaissance Orbiter, the Kepler exoplanet telescope, Earth orbiters, and more. It provides scalable performance, interpretable output, and new insights into very large data sets from diverse disciplines.

    This is joint work with James Bedell, Nina L. Lanza, Tom G. Dietterich, Martha S. Gilmore, and David R. Thompson.



    Biography: Kiri L. Wagstaff is a senior researcher in artificial intelligence and machine learning and a tactical activity planner 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, rovers, and so on. She holds a Ph.D. in Computer Science from Cornell University and an M.S. in Geological Sciences from the University of Southern California. 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 and is co-editing a special issue of the Machine Learning journal on Machine Learning for Science and Society.

    http://www.wkiri.com/

    Host: Yolanda Gil

    Location: 11th Flr Conf Rm # 1135, Marina Del Rey

    Audiences: Everyone Is Invited

    Contact: Peter Zamar

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  • Analyzing Brain Images, Connectomes, & Genomes from 26,000 People: The ENIGMA Consortium

    Wed, Dec 18, 2013 @ 11:00 AM - 12:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Paul Thompson, University of Southern California

    Talk Title: Analyzing Brain Images, Connectomes, & Genomes from 26,000 People: The ENIGMA Consortium

    Abstract: Our ENIGMA Consortium unites 125 brain imaging and genetics centers worldwide in a global effort to discover factors that help or harm the human brain. In the largest brain imaging studies ever performed, ENIGMA is screening the genomes and MRI scans of 26,000 people to discover single-letter variants in our DNA that affect our brain integrity and connectivity. First we explain how imaging is normally used to map disease effects on the brain, and how we extend this to gigantic computational searches of genomes, connectomes and images. Next we explain new mathematical methods to analyze images, connectomes and genomes. We relate ENIGMA's worldwide efforts to new directions in cooperative and asynchronous machine learning, and private distributed computation. We show how to adaptively measure brain connectivity to better diagnose disease, using concepts such as Genji symbols, Bell's number, and the Partition Problem in mathematics. This is joint work with my research group at our USC Imaging Genetics Center (http://igc.ini.usc.edu) at the ISI facility in Marina del Rey.

    Host: Prof. Richard Leahy

    Location: Seaver Science Library (SSL) - 150

    Audiences: Everyone Is Invited

    Contact: Talyia Veal

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