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Events for March 29, 2016
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CS Colloquium: David Levin (Disney Research Boston) - Physically-Based Simulation for Animation and Fabrication
Tue, Mar 29, 2016 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: David Levin, Disney Research Boston
Talk Title: Physically-Based Simulation for Animation and Fabrication
Series: CS Colloquium
Abstract: This lecture satisfies requirements for CSCI 591: Computer Science Research Colloquium
Physics-based simulation has become a transformative tool for solving problems in computer animation and computational fabrication. In this talk I will discuss how leveraging unique abstractions, new discretizations and data-driven techniques can allow us to animate and fabricate a wide-range of phenomena with improved performance, robustness and accuracy. I'll show how layered discretizations can enable photoshop like editing of physically-based animations, how Eulerian methods can be used to robustly simulate deforming objects in close contact, how 3D printing and simulation can produce new musical instruments, and more. I'll conclude by discussing the important challenges facing physics-based animation and fabrication now and in the future.
Host: CS Department
Location: Olin Hall of Engineering (OHE) - 136
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
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CS Colloquium: Nisarg Shah (CMU) - Optimal Social Decision Making
Tue, Mar 29, 2016 @ 04:00 PM - 05:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Nisarg Shah, Carnegie Mellon University
Talk Title: Optimal Social Decision Making
Series: CS Colloquium
Abstract: This lecture satisfies requirements for CSCI 591: Computer Science Research Colloquium
How can computers help ordinary people make collective decisions about real-life dilemmas, like which restaurant to go to with friends, or even how to divide an inheritance? I will present an optimization-driven approach that draws on ideas from AI, theoretical computer science, and economic theory, and illustrate it through my research in computational social choice and computational fair division. In both areas, I will make a special effort to demonstrate how fundamental theoretical questions underlie the design and implementation of deployed services that are already used by tens of thousands of people (spliddit.org), as well as upcoming services (robovote.org).
Biography: Nisarg Shah is a Ph.D. candidate in the Computer Science Department at Carnegie Mellon University, advised by Ariel Procaccia. His broad research agenda in algorithmic economics includes topics such as computational social choice, fair division, game theory (both cooperative and noncooperative), and prediction markets. He focuses on designing theoretically grounded methods that have practical implications. Shah is the winner of the 2013-2014 Hima and Jive Graduate Fellowship and the 2014-2015 Facebook Fellowship.
Host: CS Department
More Info: https://bluejeans.com/246853239
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
Event Link: https://bluejeans.com/246853239
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
