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SUNMONTUEWEDTHUFRISAT
Events for October 30, 2015
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Meet USC: Admission Presentation, Campus Tour, and Engineering Talk
Fri, Oct 30, 2015
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: Everyone Is Invited
Contact: Viterbi Admission
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SoCal NEGT Symposium 2015
Fri, Oct 30, 2015
Thomas Lord Department of Computer Science
Workshops & Infosessions
Registration Required.
Full event program can be found HERE.
This symposium will bring together students, professors, and researchers from Southern California, who apply game theory to analyze, design, and assess the performance of networks. We hope to highlight synergies between various related research areas and encourage discussions regarding the benefits and limitations of game theory as a performance assessment and design tool for networks. Both the application of game theory to networking problems and the development of new game-theoretic methodologies that can be applied in that context are of interest. Topics of interest include (but are not limited to):
Distributed network resource allocation
Trust and reputation management
Security assessment and enhancement
Dynamic spectrum assignment and management
Cognitive radio networks
Dynamic topology formation in networks
Incentives for cooperation in networks
Node mobility and route adaptation
Fairness in forwarding and medium access
Peer to peer and overlay networks
Network pricing
Multiple service provider interactions
Powerline communication networks
Electrical power networks
Formation of social networks
Biological networks
Biologically-inspired network design
Applicability and limitations of game theory in the networking domain
Algorithmic game theory
Equilibrium selection among multiple equilibria
Paradigms of bounded rationality and consequences
S-modular and potential games
Price of anarchy
Games of imperfect or asymmetric information
Learning mechanisms in games
Computation of Nash, correlated, and market equilibria
Preference elicitation and winner determination in combinatorial auctions
Stackelberg games
Cooperative game theoretical models
Multi-stage and repeated games
Mechanism designLocation: USC Hotel (RMH) -
Audiences: Registration Required
Contact: Assistant to CS chair
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Canstruction
Fri, Oct 30, 2015
Viterbi School of Engineering Student Organizations
Student Activity
Help out people in need by donating canned food!! Students and faculty come together for this annual event to collect cans and donate them to the LA Food Bank. On the last day of the drive, we bring all the cans together to make a Canstruction. Collection is from 10/14 - 11/20.
Collection Bin Locations:
ACCT 101 Office
Crocker Library (in HOH)
Popovich Hall Rm 200
Deans Office BRI 100
Advising Office BRI 104Location: Various Locations (look at description)
Audiences: Everyone Is Invited
Contact: USC NOBE
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Computer Engineering Seminar
Fri, Oct 30, 2015 @ 10:30 AM - 11:30 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Jae-sun Seo, Arizona State University
Talk Title: Efficient Digital Hardware Design for Machine Learning and Neuromorphic Algorithms
Abstract: In recent years, machine learning algorithms (e.g. convolutional neural networks, deformable parts model) have been widespread across a broad range of image, video, speech, and biomedical applications. For similar applications, there also has been a surge of interest in neuromorphic computing and spiking neural networks (e.g. TrueNorth), which more closely follow biological nervous systems. In this talk, we present our exemplary research work on efficient digital hardware design for both machine learning and neuromorphic algorithms.
On the machine learning side, algorithms trained by offline back propagation works well on pre-defined datasets, but state-of-the-art algorithms are compute-/memory-intensive, making it difficult to perform low-power real-time classification. Our prototype designs in FPGA and ASIC frameworks are presented that improve the energy-efficiency (GOPS/W) by optimizing computation, memory, and communication for representative large-scale networks.
On the neuromorphic side, the classification accuracies on MNIST or ImageNet datasets has not yet reached those of machine learning counterparts, but we find it suitable for unsupervised continuous online learning applications (e.g. defense, robotics, biomedical) aiming low power consumption. Building up on earlier work on on-chip STDP (spike-timing dependent plasticity) learning for pattern recognition (45nm) and spiking clustering for deep-brain sensing (65nm), we propose a versatile neuromorphic processor that can support various STDP learning and inhibition rules with large fan-in/out per neuron. Preliminary implementation results and future research directions will be discussed.
Biography: Jae-sun Seo received his Ph.D. degree from the University of Michigan in 2010 in electrical engineering. From 2010 to 2013, he was with IBM T. J. Watson Research Center, where he worked on energy-efficient circuits for high-performance processors and neuromorphic chip design for the DARPA SyNAPSE project. In January 2014, he joined Arizona State University as an assistant professor in the School of ECEE. During the summer of 2015, he was a visiting faculty at Intel Circuit Research Labs. His research interests include efficient hardware design of learning algorithms and integrated power management. He received the IBM outstanding technical achievement award in 2012, and serves on the technical program committee for ISLPED.
Host: Prof. Massoud Pedram
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Annie Yu
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Beating the Perils of Non-convexity: Guaranteed Training of Neural Networks Using Tensor Methods
Fri, Oct 30, 2015 @ 11:00 AM - 12:00 PM
Information Sciences Institute
University Calendar
Speaker: Majid Janzamin
Title: Beating the Perils of Non-convexity: Guaranteed Training of Neural Networks Using Tensor Methods
Series: AI Seminar
Abstract:
Training neural networks is a highly non-convex problem and in general is NP-hard. Local search methods such as gradient descent get stuck in spurious local optima, especially in high dimensions. We present a novel method based on tensor decomposition that trains a two-layer neural network with guaranteed risk bounds with polynomial sample and computational complexity. We also demonstrate how unsupervised learning can help in supervised tasks. In our context, we estimate probabilistic score functions via unsupervised learning which are then employed for training neural networks using tensor methods.
Bio:
Majid Janzamin is a sixth year PhD student at the EECS Dept. at UC Irvine. He received his BSc and MSc in Electrical Engineering, from Sharif University of Technology, Tehran, Iran in 2007 and 2010, respectively. He has also visited and has done internship at Microsoft research labs at New England and Silicon Valley. His research interests are in the area of large-scale machine learning and high-dimensional statistics, and probabilistic modeling. In particular, he has worked on optimization methods for learning graphical models, and tensor methods for latent variable models.
Location: Information Science Institute (ISI) - 11th floor large conference room
WebCast Link: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=07a00eec98a44b81ab87fdfd8a6368151d
Audiences: Everyone Is Invited
Contact: Kary LAU
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AI Seminar
Fri, Oct 30, 2015 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Majid Janzamin, UC Irvine
Talk Title: Beating the Perils of Non-convexity: Guaranteed Training of Neural Networks Using Tensor Methods
Abstract: Training neural networks is a highly non-convex problem and in general is NP-hard. Local search methods such as gradient descent get stuck in spurious local optima, especially in high dimensions. We present a novel method based on tensor decomposition that trains a two-layer neural network with guaranteed risk bounds with polynomial sample and computational complexity. We also demonstrate how unsupervised learning can help in supervised tasks. In our context, we estimate probabilistic score functions via unsupervised learning which are then employed for training neural networks using tensor methods.
Biography: Majid Janzamin is a sixth year PhD student at the EECS Dept. at UC Irvine. He received his BSc and MSc in Electrical Engineering, from Sharif University of Technology, Tehran, Iran in 2007 and 2010, respectively. He has also visited and has done internship at Microsoft research labs at New England and Silicon Valley. His research interests are in the area of large-scale machine learning and high-dimensional statistics, and probabilistic modeling. In particular, he has worked on optimization methods for learning graphical models, and tensor methods for latent variable models.
Host: Ashish Vaswani
Webcast: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=07a00eec98a44b81ab87fdfd8a6368151dLocation: Information Science Institute (ISI) - 11th floor large conference room
WebCast Link: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=07a00eec98a44b81ab87fdfd8a6368151d
Audiences: Everyone Is Invited
Contact: Kary LAU
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W.V.T. Rusch Engineering Honors Program Colloquium
Fri, Oct 30, 2015 @ 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. Christopher P. Silva, Senior Engineering Specialist, The Aerospace Corporation, titled "Overview of Chaos and its Information Applications."
Location: Seeley G. Mudd Building (SGM) - 101
Audiences: Everyone Is Invited
Contact: Ramon Borunda/Academic Services
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Astani Civil and Environmental Engineering Ph.D. Seminar
Fri, Oct 30, 2015 @ 03:00 PM - 04:00 PM
Sonny Astani Department of Civil and Environmental Engineering
Conferences, Lectures, & Seminars
Speaker: Sina-Hasheminassab and Dongbin Wang, Astani CEE Ph.D. Students
Talk Title: TBA
Abstract: TBA
Location: Grace Ford Salvatori Hall Of Letters, Arts & Sciences (GFS) - 106
Audiences: Everyone Is Invited
Contact: Evangeline Reyes
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Munushian Keynote Seminar - Dr. Shuji Nakamura, "Development of Blue InGaN LEDs and Future lighting"
Fri, Oct 30, 2015 @ 03:00 PM - 04:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Shuji Nakamura, UC Santa Barbara
Talk Title: Development of Blue InGaN LEDs and Future lighting
Abstract: The development of high brightness blue LEDs and blue laser diodes required many breakthroughs of GaN growth, p-type conductivity control, InGaN growth and device structures using InGaN/GaN double heterostructures. First, I will discuss the history and background story of the key scientific issues solved in order to realize high efficiency solid state lighting. The fundamental discovery of high quality p-type doping by removing hydrogen passivation, and the role of the InGaN layer in achieving high brightness blue LEDs and Laser Diodes will be described.
Next the speaker will talk about the GaN on GaN LEDs developed by Soraa. The peak wall-plug efficiency of the violet is 84%. There is an intrinsic problem of the LEDs that cannot be easily overcome. When we increase the current densities so high, a reduction in efficiency with increasing the current density is observed. This phenomena, referred to as efficiency droop, forces LED manufactures to operate LEDs at lower current densities (and hence reduced light output) than would be possible to prevent excess heating of the device. An alternative method to produce white light is by using a blue laser, as opposed to an LED, in combination with a phosphor. Above the lasing threshold, the carrier density is clamped at threshold, fixing its density. Increases in carrier density beyond the threshold density immediately contribute to stimulated emission, or lasing. Thus, the carrier density is maintained at the lower, threshold density, prohibiting it from reaching densities where the Auger recombination process becomes the dominant recombination process. Auger recombination, with the resulting efficiency droop, does not appreciably occur in blue laser diodes.
Biography: Shuji Nakamura was born on May 22, 1954 in Ehime, Japan. He obtained B.E., M.S., and Ph.D. degrees in Electrical Engineering from the University of Tokushima, Japan in 1977, 1979, and 1994, respectively. He joined Nichia Chemical Industries Ltd in 1979. In 1989, he started the research of blue LEDs using group-III nitride materials. In 1993 and 1995, he developed the first group-III nitride-based blue/green LEDs. He also developed the first group-III nitride-based violet laser diodes (LDs) in 1995. He is the 2014 Nobel Laureate in Physics for the invention of efficient blue light-emitting diodes which has enabled bright and energy-saving white light sources.
Since 2000, he has been a professor of Materials and Electrical & Computer Engineering at the University of California, Santa Barbara. He holds more than 200 US patents and over 300 Japanese patents. He has published over 550 papers in his field. Prof. Nakamura is the Research Director of the Solid State Lighting & Energy Electronics Center and The Cree Chair in Solid State Lighting & Displays. He co-founded Soraa, Inc. in 2008, which operates vertically integrated fabrication facilities in California's Silicon Valley and Santa Barbara.
Host: EE-Electrophysics
More Info: http://viterbi.usc.edu/news/events/keynote/munushian/
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
Event Link: http://viterbi.usc.edu/news/events/keynote/munushian/
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USC Viterbi Alumni and Parent Reception in Shanghai
Fri, Oct 30, 2015 @ 06:30 PM - 08:00 PM
USC Viterbi School of Engineering, Viterbi School of Engineering Alumni
Receptions & Special Events
USC Viterbi Advancement is hosting a reception for Alumni, Parents, and Friends in Shanghai, China during the USC Global Conference
Friday, October 30, 2015
6:30 PM
Grand Hyatt Shanghai - Crystal III Room
Jin Mao Tower
88 Century Avenue, Pudong, Shanghai 200121
Reserve your space by visiting bit.ly/1Pvu15X
For more information please contact James Morse at jmorse@usc.edu or (213) 821-0452
Audiences: USC Alumni
Contact: James Morse
