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Events for March 25, 2016
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AI Seminar-The Structure of Sequences Mining and Interpreting Networks from Event Log Data
Fri, Mar 25, 2016 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Brian Keegan, Harvard University
Talk Title: The Structure of Sequences Mining and Interpreting Networks from Event Log Data
Series: Artificial Intelligence Seminar
Abstract: Network science provides a rich set of theories and methods to understand the structure and dynamics of complex social, information, and biological systems. These approaches traditionally demand data with explicitly declared dyadic relationships or interactions such as friendship or affiliation. However, socio-technical systems like Wikipedia, Github, or Twitter often encode latent relationships within event logs and other databases. Temporal adjacencies in these event logs reveal sequences of actions that have complex and non-random properties that illuminate hidden structures within peer production systems. Using several case studies, I describe how complex networks can be extracted from event logs to understand the behavior of both users and artifacts within these systems. These networks encode a variety of rich structural and dynamic data distinct from traditional network approaches and illustrate user social roles within distributed collaboration as well as context and shifting interests of users based on their contributions. This approach has rich implications for mixed-methods research as it allows researchers to collapse large-scale event log data into more parsimonious network representations that can motivate qualitative analysis, visualization, and statistical modeling of complex behavior in socio-technical systems.
Biography: Brian Keegan is a research associate and data scientist for the Harvard Business School Hbx online learning platform. He received his PhD from the Northwestern University School of Communication in 2012 and was a post-doctoral research fellow in network and computational social science at Northeastern University until 2014. His research analyzes the structure and dynamics of online knowledge collaborations such as Wikipedia, Twitter, and online education under high-tempo and bursty conditions.
Host: Emilio Ferrara
Webcast: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=0b39bdb4046d4835af24d94a23ddf6061dLocation: Information Science Institute (ISI) - 11th Flr Conf Rm # 1135, Marina Del Rey
WebCast Link: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=0b39bdb4046d4835af24d94a23ddf6061d
Audiences: Everyone Is Invited
Contact: Peter Zamar
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W.V.T. Rusch Engineering Honors Program Colloquium
Fri, Mar 25, 2016 @ 01:00 PM - 01:50 PM
USC Viterbi School of Engineering, Viterbi School of Engineering Student Affairs
University Calendar
Join us for a presentation by Dr. Theodore W. Berger, from the University of Southern California, titled "Engineering Memories: A Brain Prosthesis for Human Memory Function."
Location: Seeley G. Mudd Building (SGM) - 123
Audiences: Everyone Is Invited
Contact: Ramon Borunda/Academic Services
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Imaging Seminar - Junjie Yao, Friday, March 25th at 2:00pm in EEB 132
Fri, Mar 25, 2016 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Junjie Yao, Washington University in St. Louis, Missouri
Talk Title: Photoacoustic Imaging beyond Traditional Limits
Abstract: By physically combining electromagnetic and ultrasonic waves, photoacoustic imaging (PAI) has proven powerful for multi-scale anatomical, functional, and molecular imaging. In PAI, a short-pulsed laser beam illuminates the biological tissue to generate a small but rapid temperature rise, which leads to emission of ultrasonic waves due to thermoelastic expansion. The high-frequency ultrasonic waves are detected outside the tissue by an ultrasonic transducer to form an image that maps the original optical energy deposition in the tissue. PAI seamlessly combines the rich optical absorption contrast of biological tissue with the high optically- or acoustically-determined spatial resolutions.
My talk will focus on three recent advances of PAI on exciting new fronts. First, PAI has broken the optical-diffraction limit and achieved super-resolution (~80 nm) imaging by using non-linear photobleaching or photo-switching dynamics, extending its applications into sub-cellular nano-dimensions. Second, by using a novel pulse-width-based single-wavelength method, ultra-fast photoacoustic microscopy has achieved a 1D oxygenation imaging rate of 100 kHz, allowing label-free imaging of mouse brain activity with high spatial-temporal resolution. Third, taking advantage of the newly developed near-infrared non-fluorescent phytochrome BphP1, which can be reversibly switched on and off, PAI has achieved more than 200 times enhancement in detection sensitivity in reporter gene imaging, allowing early-stage cancer imaging at ~10 mm in tissue with a detection sensitivity of ~20 cancer cells.
Biography: Dr. Junjie Yao received his B.E. and M.E. degrees in Biomedical Engineering from Tsinghua University, Beijing, in 2006 and 2008, respectively. He received his Ph.D. degree in Biomedical Engineering at Washington University, St. Louis (WUSTL), in 2013. He is currently a postdoctoral research associate at WUSTL.
Dr. Junjie Yao's research interest is in photoacoustic imaging technologies in life sciences, especially in functional brain imaging and early cancer detection. Dr. Yao has published more than 60 articles in peer-reviewed journals such as Nature Methods, Nature Medicine, PNAS, and PRL. These publications have received more than 1650 world-wide citations in the last five years. He (co-)invented photoacoustic Doppler-bandwidth flowmetry, photoacoustic oxygen metabolic microscopy, photo-imprint super-resolution photoacoustic microscopy, and reversibly-switchable photoacoustic tomography. Dr. Yao's future research will center on developing novel photoacoustic technologies and translating the laboratory imaging advances into diagnostic and therapeutic applications for a broad range of diseases, especially brain disorders and cancers.
Host: EE-Electrophysics
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
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The Underpinning of the Industrial Internet of Things
Fri, Mar 25, 2016 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Jan Van Bruaene, VP of Engineering Real-Time Innovations
Talk Title: The Underpinning of the Industrial Internet of Things
Abstract: In this presentation, you will learn about the industrial internet of things and how it differs from the consumer internet of things. We'll also cover why building a connectivity platform for the industrial internet of thing is hard. We'll dig deeper into the underlying technology: Data Distribution Service (DDS). We'll cover data centricity, different communication patterns, and quality of service.
Finally, you will also learn about research and career opportunities at RTI.
Biography: Jan joined RTI in 2006 and has over 19 years of experience in technical and customer-facing leadership roles at companies such as Sun Microsystems and VLSI Technology. He has led professional services, support, and engineering organizations and has experience in middleware, and infrastructure software, operating system s and network chip development.
Jan came to RTI as a senior application engineer and was responsible for developing a new support organization which achieved a record-setting 98 percent customer satisfaction rate. Jan led a team of application services engineers delivering system design and custom implementations using RTI Connext technology and middleware. For the past four years, Jan has managed RTI's R&D organization.
Jan graduated with a MS equivalent degree in Electronics, Digital Communications (Summa Cum Laude) from KIHK in Geel, Belgium.
Host: Bhaskar Krishnamachari
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Shane Goodoff
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NL Seminar-Capturing More Linguistic Structure with Graph-Structured Parsing
Fri, Mar 25, 2016 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Jonathan Kummerfeld, Univ. of Berkeley
Talk Title: Capturing More Linguistic Structure with Graph-Structured Parsing
Series: Natural Language Seminar
Abstract: The correct interpretation of any sentence is obscured by a vast array of alternatives. Previous work on disambiguating meaning has focused on representations of syntax using tree structures. Simplifying syntax in this way often means leaving out long-distance relations between words, providing less information to downstream tasks such as dialog and question answering. We propose a new algorithm that is able to efficiently search over graph structures, fully capturing argument structures as a directed acyclic graph. Our dynamic program uniquely decomposes structures, and is sound and complete with respect to the class of one-endpoint crossing graphs.
Biography: Jonathan is a Ph.D. candidate at UC Berkeley working on natural language processing with Dan Klein. His research focuses on new algorithms for interpreting text and analyzing system behavior. In particular, he has built search-based error analysis tools for syntactic parsing and coreference resolution, and a graph-based syntactic parser.
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/
