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Events Calendar



Events for March 05, 2015

  • Computer Science PhD Visit Days

    Thu, Mar 05, 2015

    Computer Science

    Workshops & Infosessions


    Computer Science PhD Visit Day, March 5 and March 6, 2015. Details forthcoming.

    Audiences: Everyone Is Invited

    Posted By: 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 “value of data” 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 “Optimization Methods and Algorithms Applied to Smart Grid” 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

    Posted By: 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

    Posted By: 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 Services

    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

    Posted By: 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

    Posted By: Women in Engineering

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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

    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, Spark’s 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

    Posted By: Assistant to CS chair

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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

    Posted By: Viterbi Student Innovation Institute

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  • Mattel Information Session

    Thu, Mar 05, 2015 @ 05:00 PM - 06:00 PM

    Viterbi School of Engineering Career Services

    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

    Posted By: RTH 218 Viterbi Career Services

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