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SUNMONTUEWEDTHUFRISAT
Events for the 2nd week of June
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NAMRC/MSEC/ICM&P International Manufacturing Research ConferenceSun, Jun 04, 2017
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Various, NAMRC/MSEC/ICM&P International Manufacturing Research Conference
Talk Title: NAMRC/MSEC/ICM&P International Manufacturing Research Conference
Abstract: To attend:
Go to http://2017namrc-msec.usc.edu/ and register for the conference.
Host: Yong Chen
More Info: http://2017namrc-msec.usc.edu/
Audiences: Everyone Is Invited
Contact: Michele ISE
Event Link: http://2017namrc-msec.usc.edu/
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NAMRC/MSEC/ICM&P International Manufacturing Research Conference
Mon, Jun 05, 2017
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Various, NAMRC/MSEC/ICM&P International Manufacturing Research Conference
Talk Title: NAMRC/MSEC/ICM&P International Manufacturing Research Conference
Abstract: To attend:
Go to http://2017namrc-msec.usc.edu/ and register for the conference.
Host: Yong Chen
More Info: http://2017namrc-msec.usc.edu/
Audiences: Everyone Is Invited
Contact: Michele ISE
Event Link: http://2017namrc-msec.usc.edu/
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NAMRC/MSEC/ICM&P International Manufacturing Research Conference
Tue, Jun 06, 2017
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Various, NAMRC/MSEC/ICM&P International Manufacturing Research Conference
Talk Title: NAMRC/MSEC/ICM&P International Manufacturing Research Conference
Abstract: To attend:
Go to http://2017namrc-msec.usc.edu/ and register for the conference.
Host: Yong Chen
More Info: http://2017namrc-msec.usc.edu/
Audiences: Everyone Is Invited
Contact: Michele ISE
Event Link: http://2017namrc-msec.usc.edu/
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NAMRC/MSEC/ICM&P International Manufacturing Research Conference
Wed, Jun 07, 2017
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Various, NAMRC/MSEC/ICM&P International Manufacturing Research Conference
Talk Title: NAMRC/MSEC/ICM&P International Manufacturing Research Conference
Abstract: To attend:
Go to http://2017namrc-msec.usc.edu/ and register for the conference.
Host: Yong Chen
More Info: http://2017namrc-msec.usc.edu/
Audiences: Everyone Is Invited
Contact: Michele ISE
Event Link: http://2017namrc-msec.usc.edu/
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PhD Defense - Zahra Nazari
Wed, Jun 07, 2017 @ 01:00 PM - 02:00 PM
Thomas Lord Department of Computer Science
University Calendar
PhD Candidate: Zahra Nazari
Date: Wed, June 7th
Time : 1 PM
Location: KAP134
Committee :
Dr. Jonathan Gratch
Dr. Milind Tambe
Dr Peter Kim
Title : Automated Negotiation with Humans
Negotiation is a crucial skill in personal and organizational interactions. In the last two decades, there has been a growing interest to create agents that can autonomously negotiating with other agents. The focus of this thesis, however, is on creating agents that can negotiate with human opponents. Besides improving on artificial social intelligence, such agents could be used for the purpose of training or assisting human negotiators. A central challenge is to handle the complexity of actual human behavior. When compared with idealized game-theoretic models,
human negotiations are far richer, both in terms of the nature of information exchanged and the number of factors that inform their decision-making.
We consider a negotiation task that is simple, yet general enough to drive agent-human research, and
analyze an extensive data set of transcribed human negotiation on such tasks.
Based on human behavior in this task, and the previous research on human negotiations, we propose a new framework to structure the design of agents that negotiate with people. We address two main decision problems inspired by this framework: modeling and influencing the opponent. Three techniques are proposed to model an opponent's preferences and character (e.g. honesty and personality traits) and a misrepresentation technique is then used to influence the opponent and gain better profit. The proposed techniques are then implemented in automatic web-based agents. We ran a number of negotiations between these agents and humans recruited on Amazon Mechanical Turk. The resulting data show that the agents can perform these strategies successfully when negotiating with human counterparts and give us valuable insight about the behavior of humans when negotiating with an agent.
Location: Kaprielian Hall (KAP) - 134
Audiences: Everyone Is Invited
Contact: Lizsl De Leon
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PhD Defense - Rose Yu
Wed, Jun 07, 2017 @ 01:30 PM - 03:30 PM
Thomas Lord Department of Computer Science
University Calendar
PhD Candidate: Rose Yu
Date: June 7, 2017
Time: 1:30-3:30pm
Location: SAL 213
Committee:
Yan Liu
Cyrus Shahabi
Mahdi Soltanolkotabi (outside member)
Title:
Tensor learning for Large-Scale Spatiotemporal Analysis
Abstract:
Spatiotemporal data is ubiquitous in our daily life, including climate, transportation,
and social media. Today, data is being collected at an unprecedented scale.
Yesterdays concepts and tools are insufficient to serve tomorrow's data-driven
decision makers. Particularly, spatiotemporal data often demonstrates complex
dependency structures and is of high dimensionality. This requires new machine
learning algorithms that can handle highly correlated samples, perform efficient
dimension reduction, and generate structured predictions.
In this talk, I will present tensor methods, a scalable framework for capturing
high-order structures in spatiotemporal data. I will demonstrate how to learn from
spatiotemporal data efficiently in both offline and online setting. I will also show
interesting discoveries by our methods in climate and social media applications.
Location: 213
Audiences: Everyone Is Invited
Contact: Lizsl De Leon
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NAMRC/MSEC/ICM&P International Manufacturing Research Conference
Thu, Jun 08, 2017
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Various, NAMRC/MSEC/ICM&P International Manufacturing Research Conference
Talk Title: NAMRC/MSEC/ICM&P International Manufacturing Research Conference
Abstract: To attend:
Go to http://2017namrc-msec.usc.edu/ and register for the conference.
Host: Yong Chen
More Info: http://2017namrc-msec.usc.edu/
Audiences: Everyone Is Invited
Contact: Michele ISE
Event Link: http://2017namrc-msec.usc.edu/
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CAIS Seminar: Dr. Sriram Rajamani (Microsoft Research, India) - Overview of Microsoft Research India
Fri, Jun 09, 2017 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. Sriram Rajamani, Microsoft Research, India
Talk Title: Overview of Microsoft Research India
Series: Center for AI in Society (CAIS) Seminar Series
Abstract: Founded in 2005, Microsoft Research India just turned 12 years old. Their work spans 4 areas: (1) Algorithms, data science and theory, (2) machine learning and AI, (3) systems including programming languages, security, privacy and networking, and (4) technology for socio-economic development. Dr. Rajamani will give an overview of Microsoft Research India's people and research, and explain a couple of systems projects (in the area of security and privacy) in some detail.
Career opportunities at MSR India will also be presented; students are encouraged to apply!
Host: Milind Tambe
Location: Ronald Tutor Hall of Engineering (RTH) - 217
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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AI Seminar
Fri, Jun 09, 2017 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Dmitri Williams, USC Annenberg School for Communication
Talk Title: TAMING AND TRAINING SOCIAL DRAGONS COMBINING BIG DATA WITH SOCIAL SCIENCE IN GAMES AND BEYOND
Abstract: Organizations are hungry to leverage their data but often confused about where to begin. Most dont have theoretical frameworks or an understanding of how to apply the results in their workflow and systems. At the same time, the potential and demand for harnessing these data especially on networks and relationships have never been greater. In this talk, I will share a new technique and metric for using these data to measure the impact of people on each other for a range of applications. Validation and tests of the measure come from field work covering nearly a billion consumers, viewers, and players.
Biography: Dmitri Williams is an associate professor at the USC Annenberg School for Communication and Journalism. His research focuses on the social and economic impacts of new media, with a focus on online games. Williams was the first researcher to use online games for experiments and to undertake longitudinal research on them. He continues to study the psychology of online populations, with projects involving community, identity, sexuality, economics and machine learning. He is also the President of Ninja Metrics, a university startup focusing on big data. His work has been featured on NPR, CNN, Fox, NBC and CBS, as well as in the Economist, the New York Times, and other outlets.
Host: Mayank Kejriwal
Location: Information Science Institute (ISI) - 11th floor large conference room
Audiences: Everyone Is Invited
Contact: Kary Lau
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NL Seminar-Introduction to Graph Signal Processing:Tools for Harmonic Analysis on Irregular Structures
Fri, Jun 09, 2017 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Benjamin Girault , USC
Talk Title: Introduction to Graph Signal Processing: Tools for Harmonic Analysis on Irregular Structures
Series: Natural Language Seminar
Abstract: Abstract: During the past few years, graph signal processing has been extending the field of signal processing on Euclidean spaces to irregular spaces represented by graphs. We have seen successes ranging from the Fourier transform, to wavelets, vertex-frequency time frequency decomposition, sampling theory, uncertainty principle, or convolutive filtering. This presentation introduces the field, the type of signals involved, and how harmonic analysis is performed.
Biography: Benjamin Girault received his License B.Sc. and his Master M.Sc. in France from Ecole Normale Supérieure de Cachan, France, in 2009 and 2012 respectively in the field of theoretical computer science. He then received his PhD in computer science from Ecole Normale Supérieure de Lyon, France, in December 2015. His dissertation entitled Signal Processing on Graphs Contributions to an Emerging Field" focuses on extending the classical definition of stationary temporal signals to stationary graph signal. Currently, he is a postdoctoral scholar with Professors Antonio Ortega and Shri Narayanan at the University of Southern California continuing his work on graph signal processing with a focus on applying these tools to understanding human behavior.
Host: Marjan Ghazvininejad and Kevin Knight
More Info: http://nlg.isi.edu/nl-seminar/
Location: Information Science Institute (ISI) - 6th Flr Conf Rm -# 689
Audiences: Everyone Is Invited
Contact: Peter Zamar
Event Link: http://nlg.isi.edu/nl-seminar/
