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Events for the 1st week of March
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Seminar in Biomedical Engineering
Mon, Mar 02, 2015 @ 12:30 PM - 01:50 PM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Speaker: Adriana Nicholson, BME PhD Candidate, Medical Device Development Facility (Loeb Lab)
Talk Title: Electronics Design and In Vivo Evaluation of a Wirelessly Rechargeable Fetal Micropacemaker
Abstract: A miniaturized, self-contained pacemaker that could be implanted with a minimally invasive technique would dramatically improve the survival rate for fetuses that develop hydrops fetalis as a result of congenital heart block. We are currently validating a device that we developed to address this clinical need. Preclinical studies are underway to demonstrate that the device can be implanted via a minimally invasive approach, can induce effective contractions of the heart muscle with an adequate safety factor, and can successfully operate for the required device lifetime of three months using the previously-developed closed loop transcutaneous recharging system. I will present our progress in realizing the implant system and a method that we developed to evaluate the quality of each implantation in real time.
Host: Stanley Yamashiro
Location: OHE 122
Audiences: Everyone Is Invited
Contact: Mischalgrace Diasanta
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CS Colloquium: Sergey Levine (UC Berkeley) - Deep Learning for Decision Making and Control
Tue, Mar 03, 2015 @ 09:45 AM - 10:50 AM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Sergey Levine, UC Berkeley
Talk Title: Deep Learning for Decision Making and Control
Series: CS Colloquium
Abstract: A remarkable feature of human and animal intelligence is the ability to autonomously acquire new behaviors. My work is concerned with designing algorithms that aim to bring this ability to robots and simulated characters. A central challenge in this field is to learn behaviors with representations that are sufficiently general and expressive to handle the wide range of motion skills that are necessary for real-world applications, such as general-purpose household robots. These representations must also be able to operate on raw, high-dimensional inputs and outputs, such as camera images, joint torques, and muscle activations. I will describe a class of guided policy search algorithms that tackle this challenge by transforming the task of learning control policies into a supervised learning problem, with supervision provided by simple, efficient trajectory-centric methods. I will show how this approach can be applied to a wide range of tasks, from locomotion and push recovery to robotic manipulation. I will also present new results on using deep convolutional neural networks to directly learn policies that combine visual perception and control, learning the entire mapping from rich visual stimuli to motor torques on a real robot. I will conclude by discussing future directions in deep sensorimotor learning and how advances in this emerging field can be applied to a range of other areas.
The lecture will be streamed through the dedicated link HERE.
Biography: Sergey Levine is a postdoctoral researcher working with Professor Pieter Abbeel at UC Berkeley. He completed his PhD in 2014 with Vladlen Koltun at Stanford University. His research focuses on robotics, machine learning, and computer graphics. In his PhD thesis, he developed a novel guided policy search algorithm for learning rich, expressive locomotion policies. In later work, this method enabled learning a range of robotic manipulation tasks, as well as end-to-end training of policies for perception and control. He has also developed algorithms for learning from demonstration, inverse reinforcement learning, and data-driven character animation.
Host: Computer Science Department
More Info: https://bluejeans.com/658994068
Location: Olin Hall of Engineering (OHE) - 132
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
Event Link: https://bluejeans.com/658994068
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Epstein ISE Department Seminar
Tue, Mar 03, 2015 @ 10:00 AM - 11:00 AM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Phebe Vayanos, Lecturer and Postdoctoral Associate, MIT Operations Research Center
Talk Title: Data-Driven Learning Under Uncertainty: An Adaptive Optimization Perspective
Abstract: Motivated by the recent explosion of data availability and the plethora of decision problems affected by uncertainty, we propose a data-driven paradigm for dynamic learning that unifies optimization and estimation. Our framework naturally captures the critical exploration-exploitation trade-off of the decision-maker, and we develop a tractable solution scheme to compute near-optimal policies. We showcase the versatility of our method by applying it to two very diverse areas: we focus on a pricing problem arising in revenue management and then discuss an application in energy.
In the area of revenue management, we discuss the pricing problem faced by a retailer who has a finite inventory of a product available for sale. We assume that the product demand curve is unknown to the retailer who has at his disposal a history of sales data. We present computational results that show that our proposed policies: (a) yield higher profits compared to commonly used policies, (b) nearly match results obtained with perfect information under downside measures such as Conditional Value-at-Risk, and (c) can be obtained in modest computational time for large-scale problems.
In the area of energy, we discuss an industrial application of our research in collaboration with BP, one of the worldâs major oil and gas companies. Using actual data from a BP oilfield, we create a simple and powerful model for predicting oil production that circumvents the need for complex reservoir modeling. We leverage this model and the framework described above to devise a methodology that enables oil companies to maximize the quantities of oil extracted from each reservoir, and therefore decrease the natural resources (and energy supplies) that are left untapped.
This is joint work with Dimitris Bertsimas, MIT.
Biography: Phebe Vayanos is a lecturer in the Operations Research and Statistics Group at MIT Sloan School of Management, and a postdoctoral research associate in the Operations Research Center at MIT. Her current research is focused on developing data-driven models and scalable solution approaches for real-world decision problems affected by uncertainty and ambiguity. In particular, she is motivated by applications in revenue management, energy, finance, education, and healthcare. She holds a PhD degree in Operations Research and an MEng degree in Electrical & Electronic Engineering, both from Imperial College London. She has extensive experience with the energy and investment banking industries, having worked at JPMorgan and BNP Paribas and having consulted for BP.
More Information: SEMINAR-Vayanos.doc
Location: Ethel Percy Andrus Gerontology Center (GER) - 206
Audiences: Everyone Is Invited
Contact: Georgia Lum
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Epstein Institute / ISE 651 Seminar Series
Tue, Mar 03, 2015 @ 03:30 PM - 04:50 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Alejandro Toriello, Assistant Professor, H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology
Talk Title: The One-Dimensional Dynamic Dispatch Waves Problem
Series: Epstein Institute Seminar Series
Abstract: We study same-day delivery distribution systems by formulating the Dynamic Dispatch Waves Problem (DDWP), which models a depot where delivery requests arrive dynamically throughout a service day. At any dispatch epoch (wave), the information available to the decision maker is (1) a set of known, open requests which remain unfulfilled, and (2) a set of potential requests that may arrive later in the service day; the decision maker decides whether or not to dispatch a vehicle at each wave, and if so, which subset of open requests to serve, with the objective of minimizing expected vehicle operating costs and penalties for unserved requests. We consider the DDWP with a single delivery vehicle and request destinations on a line: We describe a class of a priori dispatch policies that plan routes for each wave in advance, and provide a dynamic programming approach for determining an optimal policy of this kind. We then discuss the benefits of dynamic policies, and propose several bounds and heuristics for the dynamic case.
Joint work with Alan Erera and Mathias Klapp
Biography: Alejandro Toriello joined Georgia Tech ISyE in August 2013 as an assistant professor. His research interests lie in the theory and application of supply chain management, logistics and transportation, and in related optimization methodologies. He currently serves as associate editor for the journals Optimization Methods and Software and Transportation Science. Prior to joining ISyE, he served as an assistant professor in the Epstein Department of Industrial and Systems Engineering at the University of Southern California.
Host: Daniel J. Epstein Department of Industrial and Systems Engineering
More Information: Seminar-Toriello2.docx
Location: Ethel Percy Andrus Gerontology Center (GER) - 206
Audiences: Everyone Is Invited
Contact: Georgia Lum
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In & Out: 30 Minutes to Identify Internships & Jobs Still Available!
Tue, Mar 03, 2015 @ 05:00 PM - 06:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Looking for a job after graduation or an internship this summer? Join VCS for 30 minutes to learn about resources you can use to identify and apply for employment opportunities.
Location: Ronald Tutor Hall of Engineering (RTH) - 109
Audiences: All Viterbi Students
Contact: RTH 218 Viterbi Career Services
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eBay Info Session
Tue, Mar 03, 2015 @ 05:30 PM - 07:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Join representatives of this company as they share general company information and available opportunities.
Location: Seeley G. Mudd Building (SGM) - 101
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Services
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Meet USC: Admission Presentation, Campus Tour, & Engineering Talk
Wed, Mar 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: Prospective Undergrads and Families
Contact: Viterbi Admission
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Communications, Networks & Systems (CommNetS) Seminar
Wed, Mar 04, 2015 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Kangwon Lee, Korea Polytechnic University
Talk Title: Longitudinal Driver Models & Driving Databases
Series: CommNetS
Abstract: This presentation will talk about how people drive their cars. More specifically about accel / brake pedals: the longitudinal human driver models and numerical evaluation of them using naturalistic human driving databases. First, driver model, car following situation and naturalistic driving databases will be described. Then longitudinal driver models and a evaluation configuration will be presented. Finally the Modified Gipps Model showing the best performance of the presented models will be analyzed more in detail and compared with real traffic flow rate data.
Biography: Kangwon Lee is an Associate Professor in Mechanical Engineering at the Korea Polytechnic University. He received his Ph. D. in Mechanical Engineering from the University of Michigan, Ann Arbor in 2004. His research interests cover ground vehicle control systems including automotive active safety and driver assistant systems.
Host: Prof. Ashutosh Nayyar and the Ming Hsieh Institute
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Annie Yu
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Aerospace and Mechanical Engineering Seminar Series
Wed, Mar 04, 2015 @ 03:30 PM - 04:30 PM
Aerospace and Mechanical Engineering
Conferences, Lectures, & Seminars
Speaker: Xianyi Zeng, Postdoctoral Associate in the Department of Civil and Environmental Engineering at Duke University, Durham, NC
Talk Title: Multi-Robot Systems for Monitoring and Controlling Large Scale Environments A Variational Multiscale Finite Element Method for Nearly Incompressible Solids and Fluid-Structure Interactions
Series: Aerospace and Mechanical Engineering Seminar Series
Abstract: We present a new approach to stabilize the finite element methods for explicit transient solid mechanics in the nearly incompressible regime using linear simplicial finite elements, and present its extension to fluid-structure interactions. In these problems, triangular/tetrahedral elements are usually preferred because they allow efficient and automated mesh generation for complicated geometries. However, standard Galerkin formulation typically leads to volume locking or instability on these elements in the case of nearly incompressible solid dynamics.
To overcome these difficulties, we describe a stabilized method that is based on a mixed formulation, in which the usual momentum equation is complemented by a rate equation for the evolution of the pressure field. The stabilization term is derived using a variational multiscale approach for isotropic linear elastic materials, and it is shown to greatly improve the stability of the methods without decreasing the order of the accuracy. Next we extend the methodology to nonlinear elastic materials by properly linearizing the variational form, and then to viscoelastic materials by introducing internal variables. Extensive numerical results in these contexts are presented to assess the accuracy and stability properties of the proposed methods for general solid mechanics.
Finally, we describe a similar VMS-based finite element method for shock hydrodynamics, and conclude the presentation by coupling the two methods to perform challenging shock-solid interaction computations.
Biography: Xianyi Zeng obtained a BS in mathematics and applied mathematics from Peking University, and a PhD in computational and mathematical engineering from the Stanford University. Before joining the Civil and Environmental Engineering Department at Duke University as a postdoc, he worked on his dissertation in the Department of Aeronautics and Astronautics at Stanford University while pursuing the doctoral degree. Dr. Zeng has broad interests in computational mechanics and their applications, including computational gas dynamics, computational solid mechanics, fluid-structure interactions, and numerical modeling of inelastic materials, among others.
Host: Paul Ronney
Location: Seaver Science Library (SSL) - 150
Audiences: Everyone Is Invited
Contact: Valerie Childress
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SHPE USC 8th GBM: Personality Types and Team Dynamics
Wed, Mar 04, 2015 @ 06:30 PM - 08:20 PM
Viterbi School of Engineering Student Organizations
University Calendar
Team projects can be one of two things: a great and productive learning experience OR a complete nightmare. Join SHPE as we cover the different personality types that you will encounter in college and in the workforce and how you can use that to your advantage when working in teams. Like always, there will be FREE FOOD!
Location: Grace Ford Salvatori Hall Of Letters, Arts & Sciences (GFS) - 116
Audiences: Everyone Is Invited
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Computer Science PhD Visit Days
Thu, Mar 05, 2015
Thomas Lord Department of Computer Science
Workshops & Infosessions
Computer Science PhD Visit Day, March 5 and March 6, 2015. Details emailed to attendees. Includes Research Review at 3:30 PM on GER patio.
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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Epstein ISE Department Seminar
Thu, Mar 05, 2015 @ 10:00 AM - 11:00 AM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Yongpei Guan, Associate Professor, Department of Industrial and Systems Engineering and Director, Computational and Stochastic Optimization Lab, University of Florida
Talk Title: Renewable Energy Integration and Data-Driven Risk-Averse Stochastic Optimization
Abstract:
Renewable energy has been increasingly penetrating into the power grid systems recently. Due to its intermittent nature, new challenges arise for power system operators to provide reliable unit commitment decisions to incorporate intermittent renewable generation, with the objective of ensuring system reliability while maintaining cost effectiveness.
In practice, the distribution of renewable energy output is unknown, and instead, only a set of historical data is available. This motives a theoretical study on data-driven risk-averse stochastic optimization. Starting from the given historical data set, we introduce a set of probability metrics to construct the confidence set for the unknown probability distribution through nonparametric statistical estimation. We accordingly formulate a risk-averse stochastic program (RASP) from the perspective of distributional robustness by hedging against the worst-case distribution within the confidence set and considering the corresponding expected total cost. In our study, for a specific metric, we can derive an equivalent reformulation for RASP, which explicitly reflects its linkage with a full spectrum of coherent risk measures under various risk-averseness levels. This reformulation result can be further extended to other interesting models in the stochastic programming literature including chance and stochastic dominance constraints. In addition, we develop a solution algorithm for the reformulation based on the sample average approximation method. We also perform convergence analysis to show that the risk-averseness of RASP vanishes as the data sample size grows to infinity, in the sense that the optimal objective value of RTSP converges to that of the risk-neutral one. Furthermore, we can show the âvalue of dataâ by analyzing the convergence rate of our solution approach for a family of metrics.
Finally, we apply the proposed solution framework to solve the reliability unit commitment problem with renewable energy integration, and the computational results show the effectiveness of our proposed approach.
This is joint work with Ruiwei Jiang and Chaoyue Zhao
Biography:
Yongpei Guan currently serves as an Associate Professor and the Director of the Computational and Stochastic Optimization Lab at the University of Florida. His research interests include nonparametric statistical estimation and stochastic optimization, discrete optimization, and stochastic impulse control with their applications in supply chain management and power system analysis with renewable energy integration. His works in these areas have led to NSF Career Award 2008 and Office of Naval Research Young Investigator Award 2010, and have been published in IEEE Transactions on Power Systems, Mathematical Programming, and Operations Research. His Ph.D. students have won the Nicholson Best Student Paper Award (first place) from INFORMS and Pritsker Doctoral Dissertation Awards (second and third places) from IIE. He is currently the associate editor for Journal of Global Optimization and Computational Optimization and Applications, as well as the newsletter editor for the INFORMS Computing Society. He was also nominated and served as the chair of the 2014 IIE Annual Conference ISERC Program, and invited and served as the 2013 Guest Editor-in-Chief for the Special Issue on âOptimization Methods and Algorithms Applied to Smart Gridâ for IEEE Transactions on Smart Grid. Yongpei Guan obtained his Ph.D. from Georgia Tech in 2005.
Host: Daniel J. Epstein Department of Industrial and Systems Engineering
More Information: SEMINAR-Guan.doc
Location: Ethel Percy Andrus Gerontology Center (GER) - 206
Audiences: Everyone Is Invited
Contact: Georgia Lum
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Lyman L. Handy Colloquia: Dehua Pei (Ohio State)
Thu, Mar 05, 2015 @ 12:45 PM - 02:00 PM
Mork Family Department of Chemical Engineering and Materials Science
Conferences, Lectures, & Seminars
Speaker: Dehua Pei, Ohio State University Dept. of Chemistry
Talk Title: Inhibition of Protein-Protein Interactions with Macrocycles
Abstract: TBA
Host: Prof. Roberts
Location: James H. Zumberge Hall Of Science (ZHS) - 159
Audiences: Everyone Is Invited
Contact: Ryan Choi
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In & Out: 30 Minutes to Identify Internships & Jobs Still Available!
Thu, Mar 05, 2015 @ 02:00 PM - 03:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Looking for a job after graduation or an internship this summer? Join VCS for 30 minutes to learn about resources you can use to identify and apply for employment opportunities.
Location: Ronald Tutor Hall of Engineering (RTH) - 109
Audiences: All Viterbi Students
Contact: RTH 218 Viterbi Career Services
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PhD Women Coffee Hour
Thu, Mar 05, 2015 @ 03:00 PM - 04:00 PM
Viterbi School of Engineering Student Affairs
Receptions & Special Events
Women in Engineering would like to invite you to a monthly coffee hour for our PhD women. Coffee, tea, and cookies will be provided. This is a great a time for you to get to know fellow PhD women in Viterbi. Stop by to hang out with your fellow women engineers, take a break from work, and form some new friendships.
RSVP (optional): https://uscviterbi.qualtrics.com/SE/?SID=SV_etEfdyOza7qKLOt
We look forward to seeing you there!Location: Robert Glen Rapp Engineering Research Building (RRB) - 208
Audiences: Graduate
Contact: Women in Engineering
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CS Research Review and Poster Session
Thu, Mar 05, 2015 @ 03:30 PM - 06:00 PM
Thomas Lord Department of Computer Science
Receptions & Special Events
Come see Computer Science PhD Candidate research through an interactive poster session! Grab some light refreshments and see our students' current work. All departments are invited to attend.
Location: Ethel Percy Andrus Gerontology Center (GER) - Patio
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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CS Colloquium: Prof. Ameet Talwalkar (UCLA) - Scalable and User-Friendly Machine Learning in Apache Spark
Thu, Mar 05, 2015 @ 04:00 PM - 05:15 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Ameet Talwalkar, UCLA
Talk Title: Scalable and User-Friendly Machine Learning in Apache Spark
Series: CS Colloquium
Abstract: Modern datasets are rapidly growing in size and complexity, and this wealth of data holds the promise for many transformational applications. Machine learning is seemingly poised to deliver on this promise, having proposed and rigorously evaluated a wide range of data processing techniques over the past several decades. However, concerns over scalability and usability present major roadblocks to the wider adoption of these methods. In this talk I will describe the MLbase project, which aims to address these concerns by developing machine learning functionality on top of Apache Spark, a popular cluster computing engine designed for iterative computation. I will first describe MLlib, Sparkâs scalable machine learning library that grew out of the MLbase project. I will also discuss higher level components of MLbase, focusing on the problem of hyperparameter optimization as a means to simplify the task of machine learning pipeline construction.
Biography: Ameet Talwalkar is an assistant professor of Computer Science at UCLA and a technical advisor for Databricks. His research addresses scalability and ease-of-use issues in the field of statistical machine learning, with applications in computational genomics. He led the initial development of the MLlib project in Apache Spark and is a co-author of the graduate-level textbook 'Foundations of Machine Learning' (2012, MIT Press). Prior to UCLA, he was an NSF post-doctoral fellow in the AMPLab at UC Berkeley. He obtained a B.S. from Yale University and a Ph.D. from the Courant Institute at NYU.
Host: Fei Sha
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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Mattel Information Session
Thu, Mar 05, 2015 @ 05:00 PM - 06:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
At Mattel, our vision is “Creating the Future of Play”. We strive to achieve this vision primarily through our creative and energetic employees who DARE to be innovative, and THRIVE in a friendly and fast-paced environment.
Come learn about our undergraduate internship program!Location: Seeley G. Mudd Building (SGM) - 101
Audiences: Viterbi Undergraduate Students
Contact: RTH 218 Viterbi Career Services
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Growth-Hacking Workshop with Casey Armstrong
Thu, Mar 05, 2015 @ 05:00 PM - 08:00 PM
USC Viterbi School of Engineering
University Calendar
RSVP here
Learn how to grow your startup with Casey Armstrong -
Casey is an experienced full stack online marketer who focuses on customer acquisition and revenue growth. He is well versed in SEO, content marketing, semantic search, marketplace hacking, email marketing, software development, and growth hacking.
He has driven growth at several top technology startups. At Mavenlink, he helped grow the company from 5,000 to 500,000 customers, while taking them from $0 MRR to six-figure MRR.
As a partner at WebbROI, he helped Pantheon more than double their user base and triple monthly recurring revenue (MRR) to the mid-six-figures. At Pivotal Tracker (acquired by EMC), he helped double their organic traffic to nearly 500,000 monthly visitors and acquired thousands of new users.
In 2013, he spearheaded online marketing for the New York Times bestseller, The Lean Entrepreneur, which also hit the USA Today, BN.com, and Amazon bestseller lists.
In addition, he runs a handful of projects for himself. Most recently, he captained PaleoHacks.com, which attracted over 1,000,000 unique visitors every month and more than 25 million page-views annually, which he subsequently led to an acquisition.Location: Kerckhoff Hall (KER) - Main Lobby
Audiences: Everyone Is Invited
Contact: Viterbi Student Innovation Institute
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Computer Science PhD Visit Days
Fri, Mar 06, 2015
Thomas Lord Department of Computer Science
Workshops & Infosessions
Computer Science PhD Visit Day, March 5 and March 6, 2015. Details forthcoming.
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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W.V.T. Rusch Engineering Honors Colloquium
Fri, Mar 06, 2015 @ 01:00 PM - 02:00 PM
USC Viterbi School of Engineering, Viterbi School of Engineering Student Affairs
Conferences, Lectures, & Seminars
Speaker: Eric Larson, Riviera Partners
Talk Title: 2014-2015 Hiring Marketplace
Host: W.V.T. Rusch Engineering Honors Program
Location: Seeley G. Mudd Building (SGM) - 101
Audiences: Everyone Is Invited
Contact: Jeffrey Teng
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Computer Engineering Seminar
Fri, Mar 06, 2015 @ 02:30 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Fernando Moraes, PUCRS (Pontifical Catholic University of Rio Grande do Sul), Porto Alegre, Brasil
Talk Title: Adaptability techniques for QoS and distributed management of MPSoCs
Abstract: Adaptability techniques - With the significant increase in the number of processing elements in NoC-Based MPSoCs, communication becomes, increasingly, a critical resource for performance gains and QoS guarantees. The main gap observed in the NoC-Based MPSoCs literature is the runtime adaptive techniques to meet QoS. In the absence of such techniques, the system user must statically define, for example, the scheduling policy, communication priorities, and the communication switching mode of applications. The goal of this research is to investigate the runtime adaptation of the NoC resources, according to the QoS requirements of each application running in the MPSoC. The present work adopts a NoC architecture with duplicated physical channels, adaptive routing, support to flow priorities and simultaneous packet and circuit switching. The monitoring and adaptation management is performed at the operating system level, ensuring QoS to the monitored applications. The QoS acts in the flow priority and the switching mode. Monitoring and QoS adaptation were implemented in software, resulting in flexibility to apply the techniques to other platforms or include other adaptive techniques, as task migration or DVFS. Applications with latency and throughput deadlines run concurrently with best-effort applications. Results with synthetic and real application reduced in average 60% the latency violations, ensuring smaller jitter and throughput. The execution time of applications is not penalized applying the proposed QoS adaptation methods.
Distributed Management - Scalability is an important issue in large MPSoCs. MPSoCs may execute several applications in parallel, with dynamic workload, and tight QoS constraints. Thus, the MPSoC management must be distributed to cope with such constraints. This talk presents a distributed resource management in NoC-Based MPSoC, using a clustering method, enabling the modification of the cluster size at runtime. This work addresses the following distributed techniques: task mapping, monitoring and task migration. Results show an important reduction in the total execution time of applications, reduced number of hops between tasks (smaller communication energy), and a reclustering method through monitoring and task migration.
Biography: Fernando Moraes received the Electrical Engineering and M.Sc. degrees from the Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil, in 1987 and 1990, respectively. In 1994 he received the Ph.D. degree from the Laboratoire d ÌInformatique, Robotique et Microélectronique de Montpellier (LIRMM), France. He is currently at PUCRS. From 1998 to 2000 he joined the LIRMM as an Invited Professor for 3 months each year. He has authored and co-authored 24 peer refereed journal articles in the field of VLSI design, comprising the development of networks on chip and telecommunication circuits. One of these articles, HERMES: an Infrastructure for Low Area Overhead Packet-switching Networks on Chip, is cited by more than 500 other papers. He has also authored and co-authored more than 180 conference papers on these topics. He has advised 23 MsC, advised 4 PhD and co-advised 3 PhD works. His primary research interests include Microelectronics, FPGAs, reconfigurable architectures, NoCs (networks on chip) and MPSoCs (multiprocessor system on chip). SBC, SBMICRO and IEEE Senior Member.
Host: Prof. Peter Beerel
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Annie Yu
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Integrated Systems Seminar
Fri, Mar 06, 2015 @ 03:00 PM - 04:30 PM
Conferences, Lectures, & Seminars
Speaker: Prof. Kwabena Boahen, Stanford University
Talk Title: TBD
Series: Integrated Systems Seminar
Host: Hosted by Prof. Hossein Hashemi, Prof. Mike Chen, and Prof. Mahta Moghaddam Organized and hosted by Run Chen
More Info: http://mhi.usc.edu/events/event-details/?event_id=915367
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Elise Herrera-Green
Event Link: http://mhi.usc.edu/events/event-details/?event_id=915367
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Astani Civil and Environmental Engineering Ph.D. Seminar
Fri, Mar 06, 2015 @ 03:00 PM - 04:00 PM
Sonny Astani Department of Civil and Environmental Engineering
Conferences, Lectures, & Seminars
Speaker: Nasaran Bassam Zadeh and Ali Ghahramani, Astani CEE Ph.D. Candidates
Talk Title: TBA
Abstract: TBA
Location: Seeley G. Mudd Building (SGM) - 101
Audiences: Everyone Is Invited
Contact: Evangeline Reyes
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NL Seminar- Multi-site genetic analysis of the brain’s white matter: ENIGMA-DTI
Fri, Mar 06, 2015 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Neda Jahanshad, (USC/ISI)
Talk Title: Multi-site genetic analysis of the brainâs white matter: ENIGMA-DTI
Series: Natural Language Seminar
Abstract: The functioning regions of the brain are connected through a complex network of fibers, described by the brainâs white matter. Non-invasive imaging using MRI-based diffusion imaging can help capture important characteristics of the connections by describing the strength and directionality profile of water diffusion along white matter fibers. Variability in these connections have been noted in many neurological, degenerative, and psychiatric disorders where ultimately information transfer from on brain region to the other may be weakened or completely compromised. To discover genetic risk factors for altered connectivity and common genetic variants which put the brain at subtle risk for weakened connections, we find power in sample size and pool multiple datasets from around the world to determine common effects in all populations. However, there is no standard method for acquiring diffusion images and standardizing measures across datasets is an ongoing challenge. The Enhancing Neuro Imaging Genetics through Meta Analysis group on Diffusion Tensor Imaging has established a set of basic protocols to overcome a portion of these challenges, which I will describe, along with works-in-progress to tackle additional obstacles to reveal critical details of the brains network.
Biography: Neda Jahanshad is an assistant professor of Neurology at USC in the Imaging Genetics Center at ISI. She received her PhD in Biomedical Engineering at UCLA in 2012 where she worked on optimizing diffusion imaging protocols to map structural brain connections in large populations. She has since extended the work to explore methods of pooling such imaging data from across the world and determine genetic and environmental contributions to the connectivity of the brain and determine how these effects vary across the lifespan. She is coordinating one of the largest studies of the brain's white matter through the ENIGMA Consortium http://enigma.ini.usc.edu.
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/
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Society of Women Engineers Spring Badge Day
Sat, Mar 07, 2015
Viterbi School of Engineering Student Organizations
Student Activity
Please check out the SWE USC facebook page for more event details!
Audiences: Everyone Is Invited
Contact: Society of Women Engineers Society of Women Engineers