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Events for October 13, 2017

  • Repeating EventMeet USC: Admission Presentation, Campus Tour, and Engineering Talk

    Fri, Oct 13, 2017

    Viterbi School of Engineering Undergraduate Admission

    Receptions & Special Events

    This half day program is designed for prospective freshmen and family members. Meet USC includes an information session on the University and the Admission process, a student led walking tour of campus, and a meeting with us in the Viterbi School. During the engineering session we will discuss the curriculum, research opportunities, hands-on projects, entrepreneurial support programs, and other aspects of the engineering school. Meet USC is designed to answer all of your questions about USC, the application process, and financial aid.

    Reservations are required for Meet USC. This program occurs twice, once at 8:30 a.m. and again at 12:30 p.m.

    Please make sure to check availability and register online for the session you wish to attend. Also, remember to list an Engineering major as your "intended major" on the webform!


    Location: Ronald Tutor Campus Center (TCC) - USC Admission Office

    Audiences: Prospective Freshmen & Family Members

    View All Dates

    Contact: Viterbi Admission

  • Munushian speaker - Mike Mayberry, Friday, October 13th at 10:00am in EEB 132

    Fri, Oct 13, 2017 @ 10:00 AM - 11:30 AM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars

    Speaker: Mike Mayberry, Intel Corporation

    Talk Title: The Future of Computing

    Abstract: In this seminar Dr. Mayberry will share with participants Intel's
    view of the future of computing and communication technologies. He will share insights regarding Intel's research agenda and collaborative efforts to deliver innovative products and advanced technology.

    Biography: Mike Mayberry is corporate vice president and director
    of Intel Labs. He is responsible for Intel's global research efforts in computing and communications. In addition he leads the Corporate Research Council which drives allocation and prioritization of directed university research across Intel.

    Since joining Intel in 1984 as a process integration engineer, Mayberry has held a variety of positions. As part of the California Technology Development team, he developed EPROM, flash and logic wafer fabrication processes. In 1994 he moved to Sort Test Technology Development, responsible for roadmaps and development of test processes for Intel microprocessors. In 2005, he moved to Components Research and was responsible for research to enable future process options for Intel's technology development organizations.

    Host: EE-Electrophysics

    More Info: minghsiehee.usc.edu/about/lectures

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132

    Audiences: Everyone Is Invited

    Contact: Marilyn Poplawski

  • AI Seminar

    Fri, Oct 13, 2017 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars

    Speaker: Erick Moen, USC


    Abstract: Understanding how biology responds to stimuli is one of the most challenging, yet fundamental, questions in biophysics. An in depth analysis of this relationship would allow for the development of more powerful biomedical tools and could provide a roadmap for more intelligent artificial systems. To conduct this type of research, though, we need tools to ask increasingly incisive questions of the cell membrane, the epicenter of cell function. In light of these needs, this talk will describe a nonlinear optical measurement technique developed to rapidly detect subtle changes in cell membrane structure. The method is tested in multiple cell lines and the in vitro results are validated against a complementary model of the cell membrane. The measurement technique is then used to explore transmembrane potential and investigate the mechanisms underlying neuronal stimulation and inhibition. The talk will conclude with an overview of concurrent efforts to develop a multi-faceted virtual reality VR suite for immersive scientific computing and data visualization. While this work is broadly applicable to a number of fields, the approach is used here to help better understand results from in silico studies of dynamic membrane behavior. As time allows, I will discuss how specific aspects of this research could be improved by machine learning approaches and how the projects can be extended from the single cell level to networked systems.

    Biography: Personal Bio:

    Erick Moen is a Research Associate with the Center for Cyber Physical Systems and the Internet of Things at the University of Southern California in Los Angeles, CA. He is multidisciplinary scientist who develops new ways to measure and understand biology through nonlinear optics, high performance computing, and virtual reality. In addition to his primary lines of research, his interests extend to resonator physics, sensor technology, and artificial intelligence.

    Dr. Moen received his Ph.D. in Electrical Engineering from USC. He also holds M.S. degrees in both Electrical Engineering and Computer Science. Last year, he was named a Ming Hsieh Institute Scholar awarded to the top students in the department. Dr. Moen also serves as a consultant for the Entertainment Technology Center at USC holding the mirror for an organization helping Hollywood see around corners. Prior to entering graduate school, he converted a Porsche 914 into a rolling testbed for electric vehicle research and spent time in industry as a principal of a building design and engineering firm.

    Host: Kristina Lerman

    Location: Information Science Institute (ISI) - 11th floor large conference room

    WebCast Link: http://webcastermshd.isi.edu/Mediasite/Play/ffdb85fc430947539dc2e22215f9a6531d

    Audiences: Everyone Is Invited

    Contact: Kary LAU


    Fri, Oct 13, 2017 @ 01:00 PM - 02:00 PM

    USC Viterbi School of Engineering

    Conferences, Lectures, & Seminars

    Speaker: Dr. David Siegel, Distinguished Professor at the Department of Geography and Earth Research Institute, UCSB, Earth Research Institute

    Talk Title: The Ocean Below

    Location: Henry Salvatori Computer Science Center (SAL) - 101

    Audiences: Everyone Is Invited

    Contact: Su Stevens

  • Seminars in Biomedical Engineering

    Fri, Oct 13, 2017 @ 02:00 PM - 03:00 PM

    Alfred E. Mann Department of Biomedical Engineering

    Conferences, Lectures, & Seminars

    Speaker: Raymond Goldsworthy, PhD, Associate Professor of Clinical Otolaryngology-Head and Neck Surgery

    Talk Title: Improving Signal Processing for Cochlear Implants

    Abstract: A cochlear implant is a biomedical device that restores a degree of hearing to deafened individuals. Cochlear implant technology has evolved to the point that the majority of recipients typically understand speech in quiet environments; consequently, scientific emphasis is increasingly placed on the more challenging problems of speech reception in background noise and of music appreciation. Dr. Goldsworthy will describe approaches that he has taken towards improving cochlear implant signal processing including multiple-microphone spatial filtering, encoding temporal fine structure, and auditory modeling of healthy hearing. Each of these approaches has demonstrated potential for improving hearing for cochlear implant users.

    Biography: Dr. Ray Goldsworthy received his B.Sc. in Physics from the University of Kentucky in 1997. He received his Ph.D. in Speech and Hearing Bioscience and Technology through a joint program between Harvard University and the Massachusetts Institute of Technology in 2005. From 2005 until 2014, Ray led projects at Sensimetrics Corporation to develop signal processing solutions for cochlear implants and hearing aids. In 2015, Ray joined the faculty of the University of Southern California in the Department of Otolaryngology where he continues to explore the interplay of signal processing, rehabilitation, and the fundamentals of auditory perception.

    Host: Brent Liu, PhD

    Location: Corwin D. Denney Research Center (DRB) - 145A

    Audiences: Everyone Is Invited

    Contact: Mischalgrace Diasanta

  • Ming Hsieh Institute Seminar Series on Integrated Systems

    Fri, Oct 13, 2017 @ 02:00 PM - 04:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars

    Speaker: Dr. Sudhakar Pamarti, Professor, University of California, Los Angeles

    Talk Title: Time Varying Circuits for Radio Receiver Applications

    Host: Profs. Hossein Hashemi, Mike Chen, Mahta Moghaddam, Dina El-Damak

    More Information: MHI Seminar Series IS -Sudhakar Pamarti.pdf

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132

    Audiences: Everyone Is Invited

    Contact: Jenny Lin

  • Astani Civil and Environmental Engineering Ph.D. Seminar

    Fri, Oct 13, 2017 @ 03:00 PM - 04:00 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars

    Speaker: Luis Montoya , Astani CEE Ph.D. Candidate

    Talk Title: TBA

    Abstract: TBA

    Location: Von Kleinsmid Center For International & Public Affairs (VKC) - 150

    Audiences: Everyone Is Invited

    Contact: Evangeline Reyes

  • NL Seminar: Context is Everything: From language modeling to language generation

    Fri, Oct 13, 2017 @ 03:00 PM - 04:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars

    Speaker: Yangfeng Ji , University of Washington

    Talk Title: Context is Everything: From language modeling to language generation

    Series: Natural Language Seminar

    Abstract: Contextual information is critical for language processing and generation. Particularly for large texts consisting of multiple sentences or paragraphs, how to capture the contextual information beyond sentence boundaries is important for building better language processing systems. This talk will discuss our recent effort on incorporating contextual information to language modeling and generation. It presents three models with each of them corresponds a specific linguistic phenomenon of context shared in written texts: i. local context from preceding sentences; ii. semantic and pragmatic relations between adjacent sentences; and iii. evolving of entities e.g., characters in novels through coreference links in texts. The starting point of our model design is sentence-level recurrent neural network language models RNNLMs. To capture these aspects of contextual information, we extend RNNLMs by either adding extra connections among existing network components, or adding dedicated components particularly to encode specific linguistic information. Evaluation results show that these models outperforms strong baselines and prior work language modeling tasks. Their ability of capturing contextual information is also verified by the quantitative evaluation on each corresponding task, such as identifying the relation between sentences, and resolving coreference ambiguity. Qualitative analysis is also included to demonstrate the ability of these models for text generation.

    Biography: Yangfeng Ji is a postdoc researcher at University of Washington working with Noah Smith. His research interests lie in the interaction of natural language processing and machine learning. He is interested in designing machine learning models and algorithms for language processing, and also fascinated by how linguistic knowledge helps build better learning models. He completed his Ph.D. in Computer Science at Georgia Institute of Technology in 2016, advised by Jacob Eisenstein. He was one of the area co-chairs on Discourse and Pragmatics in ACL 2017.

    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

    Contact: Peter Zamar