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Events for November 20, 2017

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

    Mon, Nov 20, 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

  • PhD Defense - David Inkyu Kim

    Mon, Nov 20, 2017 @ 09:00 AM - 11:00 AM

    Thomas Lord Department of Computer Science

    University Calendar

    Monday, November 20th, 9 a.m. to 11 a.m, RTH 406

    PhD Candidate: David Inkyu Kim

    Title: Learning affordances by interactive perception and manipulation

    Robots can plan and accomplish various tasks in unknown environment by understanding underlying functionalities of objects around. These attributes are called affordances, describing action possibilities between robot and objects in the environment. Affordance is not an universal property due to its relative nature, therefore must be learned from experiences. Such learning would involve predicting affordances from perception, followed by interactive manipulation. Learned affordance models can be directly applied to robotic tasks as the model describes how to manipulate and what the consequence will be.
    In the presentation, methods to learn affordances with interactive perception and manipulation will be introduced. For the developed affordance models, extensive experiments were performed to verify the models and its application to robotic tasks.

    Gaurav S. Sukhatme
    Stefan Schaal
    Satyandra K. Gupta

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

    Audiences: Everyone Is Invited

    Contact: Lizsl De Leon

  • End of Moore's Law Challenges and Opportunities: Computer Architecture Perspectives

    Mon, Nov 20, 2017 @ 10:30 AM - 12:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars

    Speaker: Margaret Martonosi, Princeton University

    Talk Title: End of Moore's Law Challenges and Opportunities: Computer Architecture Perspectives

    Abstract: For decades, Moore's Law and its partner Dennard Scaling have driven technology trends that have enabled exponential performance improvements in computer systems at manageable power dissipation. With the slowing of Moore/Dennard improvements, designers have turned to a range of approaches for extending scaling of computer systems performance and power efficiency. Unfortunately, these scaling gains come at the expense of degraded hardware-software abstraction layers, increased complexity at the hardware-software interface, and increased challenges for software reliability, interoperability, and performance portability This talk will explore the way forward for computer systems designers in this "Post-ISA" era of shifting abstractions. The talk will cover hardware and software design opportunities, methods for formal verification, and a look into the role of future technologies including Quantum Computing.

    Biography: Margaret Martonosi is the Hugh Trumbull Adams '35 Professor of Computer Science at Princeton University, where she has been on the faculty since 1994. She is also currently serving a four-year term as Director of the Keller Center for Innovation in Engineering Education. Martonosi's research interests are in computer architecture and mobile computing, with particular focus on power-efficient systems. Her work has included the development of the Wattch power modeling tool and the Princeton ZebraNet mobile sensor network project for the design and real-world deployment of zebra tracking collars in Kenya. Her current research focuses on hardware-software interface approaches to manage heterogeneous parallelism and power-performance tradeoffs in systems ranging from smartphones to chip multiprocessors to large-scale data centers. Martonosi is a Fellow of both IEEE and ACM. Notable awards include the 2010 Princeton University Graduate Mentoring Award, the 2013 Anita Borg Institute Technical Leadership Award, the 2015 ISCA Long-Term Influential Paper Award, and the 2017 ACM SIGMOBILE Test-of-Time Award.

    Host: Xuehai Qian, x04459, xuehai.qian@usc.edu

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

    Audiences: Everyone Is Invited

    Contact: Gerrielyn Ramos

  • Seminars in Biomedical Engineering

    Mon, Nov 20, 2017 @ 12:30 PM - 01:50 PM

    Alfred E. Mann Department of Biomedical Engineering

    Conferences, Lectures, & Seminars

    Speaker: Mandy Lai Peterson (alumna, USC BME MS program), Senior R&D Engineer, Second Sight Medical Products

    Talk Title: Research Presentation & Career Path

    Host: Stacey Finley, PhD

    Location: Olin Hall of Engineering (OHE) - 122

    Audiences: Everyone Is Invited

    Contact: Mischalgrace Diasanta

  • Center for Systems and Control (CSC@USC) and Ming Hsieh Institute for Electrical Engineering

    Mon, Nov 20, 2017 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars

    Speaker: Srinivas Shakkottai, Texas A&M University

    Talk Title: Towards a Market-mediated Software Defined Communications Ecosystem at the Wireless Edge

    Series: Fall 2017 Joint CSC@USC/CommNetS-MHI Seminar Series

    Abstract: Current wireless edge networks with tightly coupled PHY/MAC that cater to worst or average case performance lack the agility to best serve legions of heterogeneous applications. Simultaneously, software reconfigurable infrastructure has become increasingly mainstream to the point that per-packet and per-flow decisions can be dynamically controlled at multiple layers of the communications stack.

    In this talk, I will describe our efforts at the design of software defined platforms that allow for the implementation of heterogeneous per-packet mechanisms. Key components include antennas with reconfigurable radiation patterns, reconfigurable modulation and coding schemes, and reconfigurable queues for medium access control (MAC). We have two parallel thrusts in this direction. The first is on using legacy hardware and tapping into existing reconfigurability mechanisms available on off-the-shelf wireless access points. The second is on developing a clean-slate programmable PHY/MAC platform on which desired mechanisms that can provide services such as ultra-low latencies (< 5 ms) can be configured as needed.

    Tying together these layers, I will describe a market-based platform, FlowBazaar that allows us to measure Quality of Service (QoS) statistics on the wireless edge, to determine the mapping between these statistics and the resultant impact on perceived application performance measured by Quality of Experience (QoE), and to complete the chain by eliciting the end-user to declare the value of obtaining such QoEs using small-scale auctions. We thus enable an ecosystem wherein disparate applications are able to obtain the necessary resources for optimal performance.

    Biography: Srinivas Shakkottai received a PhD (2007) in Electrical Engineering, from the University of Illinois at Urbana-Champaign. He was a post-doctoral scholar in Management Science and Engineering at Stanford University in 2007, and is currently an associate professor at the Dept. of ECE at Texas A&M University. His research interests include content distribution systems, economics of network resource allocation, game theory, wireless networks, and Internet data analytics. Srinivas is the recipient of the Defense Threat Reduction Agency Young Investigator Award (2009) and the NSF Career Award (2012), as well as faculty research awards from Cisco (2008) and Google (2010). He also received The Dept. of ECE Outstanding Professor Award (2013) and was selected as a TEES (College of Engineering) Select Young Faculty Fellow (2014) at Texas A&M University.

    Host: Ashutosh Nayyar, ashutosh.nayyar@usc.edu

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

    Audiences: Everyone Is Invited

    Contact: Gerrielyn Ramos

  • NL Seminar-Algorithmic Bias in Artificial Intelligence: The Seen and Unseen Factors Influencing Machine Perception of Images and Language

    Mon, Nov 20, 2017 @ 03:00 PM - 04:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars

    Speaker: Margaret Mitchell, Google

    Talk Title: Algorithmic Bias in Artificial Intelligence: The Seen and Unseen Factors Influencing Machine Perception of Images and Language

    Series: Natural Language Seminar

    Abstract: The success of machine learning has surged, with similar algorithmic approaches effectively solving a variety of human defined tasks. Tasks testing how well machines can perceive images and communicate about them have exposed strong effects of different types of bias, such as selection bias and dataset bias. In this talk, I will unpack some of these biases, and how they affect machine perception today.

    Biography: Margaret Mitchell is a Senior Research Scientist in Google's Research & Machine Intelligence group, working on artificial intelligence. Her research generally involves vision-language and grounded language generation, focusing on how to evolve artificial intelligence towards positive goals. This includes research on helping computers to communicate based on what they can process, as well as projects to create assistive and clinical technology from the state of the art in AI.

    Host: Marjan Ghazvininejad and Kevin Knight

    More Info: http://nlg.isi.edu/nl-seminar/

    Location: Information Science Institute (ISI) - 11th Flr Conf Rms # 1135 and #1137, Marina Del Rey

    Audiences: Everyone Is Invited

    Contact: Peter Zamar

    Event Link: http://nlg.isi.edu/nl-seminar/