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Events for December 04, 2015
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Meet USC: Admission Presentation, Campus Tour, and Engineering Talk
Fri, Dec 04, 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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Communications, Networks & Systems (CommNetS) Seminar
Fri, Dec 04, 2015 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Yi Ouyang, University of Michigan, Ann Arbor
Talk Title: A Common Information Based Multiple Access Protocol Achieving Full Throughput and Linear Delay
Series: CommNetS
Abstract: Multiple access communication has played a crucial role in the operation of many networked systems, including satellite networks, radio networks, wired/wireless Local Area Networks (LANs), and data centers. One important feature of multiple access communication is its decentralized information structure. In general, when multiple users share the communication system, coordination among them is essential to resolve collision issues. In the absence of a centralized controller, it is challenging to design efficient user coordination mechanisms.
We consider a typical slotted multiple access communication system where multiple users share a common collision channel. Each user is equipped with an infinite size buffer and observes Bernoulli arrivals to its own queue. In addition to the local information, all users receive a common broadcast feedback from the channel. The feedback indicates whether the previous transmission was successful, or it was a collision, or the channel was idle. The objective is to design a transmission protocol that effectively coordinates the users transmissions under the above described information structure.
In this talk, we propose a common information based multiple access protocol (CIMA) that uses the common channel feedback to coordinate users. In CIMA, each user constructs upper bounds on the lengths of the queues of all users, including itself, based on previous transmission strategies and the common feedback. Since the upper bounds are common knowledge, users can coordinate their transmission through these common upper bounds to avoid collision. We prove that without knowledge of any statistics, CIMA achieves the full throughput region of the collision channel. We also prove that the CIMA protocol incurs low transmission delay; the delay is upper-bounded by a linear function of the number of users.
Biography: Yi Ouyang received the B.S. degree in Electrical Engineering from the National Taiwan University, Taipei, Taiwan in 2009. He is currently a Ph.D. candidate in Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor, MI, USA. His research interests include stochastic scheduling, decentralized stochastic control and dynamic stochastic games with asymmetric information.
Host: Dr. Ashutosh Nayyar
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Annie Yu
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Integrated Systems Seminar Series
Fri, Dec 04, 2015 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Prof. Andreas G. Andreou, IEEE Fellow, Johns Hopkins University
Talk Title: BRAINWAY: Cognitive Computing using Energy Efficient Physical Computational Structures, Algorithms and Architecture Co-Design
Series: Integrated Systems Seminar
Abstract: The BRAINWAY project in my lab is aimed at the design of an energy efficient Cognitive Processor Unit (CogPU) that combines Ultra-Low-Voltage (ULV) circuit techniques with brain-inspired chip multiprocessor network-on-chip (NoC) architecture, in 3D CMOS technology. The design of the CopPU architecture is based on the recently developed mathematical framework for architecture exploration and optimization, where neurons are abstracted as arithmetic units, processing information using stochastic or deterministic unary representations. Data in the system represent probabilities a choice that is well suited for probabilistic inference and machine learning. Such highly energy efficient CogPU inference engine will provide an energy efficiency gain of about x65 by using ULV techniques and massive parallelism, a gain of about x10 by relying on its SOC 3D DRAM, and a gain of about x15 by relying on new memory based Bayesian inference computational structures. This yields an estimate aggregate improvement factor in energy efficiency of about x10000, roughly four to five orders of magnitude with respect to present day state-of-the-art. Preliminary results from fabricated chips in the Global Foundries 55nm technology confirm our estimates and to the best of our knowledge these are the first CMOS computer architecture that computes natively with probabilities. I will discuss the design and experimental results from sub-systems of the architecture, representing processing units for exact and approximate Bayesian inference, multi-variate function approximation, including circuit details for mixed signal vector-vector multiplier units, physical random number generators and probability approximators
Biography: Dr. Andreas G. Andreou is a professor of electrical and computer engineering, computer science and the Whitaker Biomedical Engineering Institute, at Johns Hopkins University. Andreou is the cofounder of the Johns Hopkins University Center for Language and Speech Processing. Research in the Andreou lab is aimed at brain inspired microsystems for sensory information and human language processing. Notable microsystems achievements over the last 25 years, include a contrast sensitive silicon retina, the first CMOS polarization sensitive imager, silicon rods in standard foundry CMOS for single photon detection, hybrid silicon/silicone chip-scale incubator, and a large scale mixed analog/digital associative processor for character recognition. Significant algorithmic research contributions for speech recognition include the vocal tract normalization technique and heteroscedastic linear discriminant analysis, a derivation and generalization of Fisher discriminants in the maximum likelihood framework. In 1996 Andreou was elected as an IEEE Fellow, "for his contribution in energy efficient sensory Microsystems."
Host: Hosted by Prof. Hossein Hashemi, Prof. Mike Chen, and Prof. Mahta Moghaddam. Organized and hosted by SungWon Chung.
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Elise Herrera-Green
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Astani Civil and Environmental Engineering Ph.D. Seminar
Fri, Dec 04, 2015 @ 03:00 PM - 04:00 PM
Sonny Astani Department of Civil and Environmental Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Chi-Chung Tang, Wastewater Research Section Manager
Talk Title: Assessing the Feasibility of Recovering Phosphorus at the Sanitation District Wastewater Treatment Facilities
Abstract: See attachment
More Information: Tang Announcement.pdf
Location: Seeley G. Mudd Building (SGM) - 101
Audiences: Everyone Is Invited
Contact: Evangeline Reyes
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NL Seminar-What Can We Learn From An Agent that Plays Word-Guessing Games?
Fri, Dec 04, 2015 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Eli Pincus, USC/ICT
Talk Title: What Can We Learn From An Agent that Plays Word-Guessing Games?
Abstract: In this talk I will discuss an agent that can play a simple word-guessing game with a user. The fast-paced, multi-modal, and interactive nature of the dialogue that takes place in word-guessing games are challenging for today's dialogue systems to emulate. The agent serves as a research testbed to explore issues of fast-paced incremental interaction and user satisfaction in such a setting. I will trace how the agent's design was motivated by a human-human corpus as well as discuss two empirical studies involving the agent. The first study was designed to learn an algorithm to automatically select effective clues (clues likely to elicit a correct guess from a human). The second study was an evaluation of several synthetic voices and 1 human voice which showed how participant's subjective perceptions and objective task performances fluctuated based on the voice used and the duration of the participant's exposure to the voice.
Biography: Eli Pincus is a 3rd year USC PhD student and a graduate research assistant in the Natural Dialogue Group at
USC Institute for Creative Technologies. He is advised by Professor David Traum. Eli's main research is in human-computer dialogue. Since joining USC he has been working on improving virtual human dialogue. He won the best computer science department TA award in spring 2015. He was a research intern in the NLP and AI group at Nuance Communications in summer 2015.
Host: Nima Pourdamghani and Kevin Knight
More Info: http://nlg.isi.edu/nl-seminar/
Location: Information Science Institute (ISI) - 6th Flr Conf Rm # 689, Marina Del Rey
Audiences: Everyone Is Invited
Contact: Peter Zamar
Event Link: http://nlg.isi.edu/nl-seminar/
