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Conferences, Lectures, & Seminars
Events for August
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CAIS Seminar: Dr. Long Tran-Thanh (University of Southampton) - Bandit Theory and its Application to Security Games
Wed, Aug 09, 2017 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. Long Tran-Thanh, University of Southampton
Talk Title: Bandit Theory and its Application to Security Games
Series: Center for AI in Society (CAIS) Seminar Series
Abstract: Dr. Tran-Thanh will briefly discuss different models of bandit theory, which lies within the intersection of sequential decision making and online optimization. In particular, he will start with the basic concept of the multi-armed bandit model, and later extend it by changing its parameters and/or assumptions. Finally, Dr. Tran-Thanh will show how these models can be applied to repeated security games, for both zero-sum and non zero-sum.
Biography: Dr. Tran-Thanh is a Lecturer at the University of Southampton, UK. He obtained his PhD in Computer Science in 2012 at the same university. He has been conducting active research in a number of key areas of AI, mainly focusing on combining online machine learning, game theory, and incentive engineering to tackle resource-constrained decision making problems where one has to deal with strategic human participants and/or malicious opponents. Additionally, Dr. Tran-Thanh has also applied his theoretical findings to a number of real world applications, such as online keyword bidding, wireless sensor networks, and crowdsourcing.
Host: Milind Tambe
Location: Hedco Pertroleum and Chemical Engineering Building (HED) - 116
Audiences: Everyone Is Invited
Contact: Computer Science Department
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The Convergence of Machine Learning, Big Data, and Supercomputing
Tue, Aug 29, 2017 @ 10:30 AM - 11:30 PM
Thomas Lord Department of Computer Science, Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Jeremy Kepner, MIT Lincoln Laboratory Fellow/MIT Lincoln Laboratory Supercomputing Center Founder
Talk Title: The Convergence of Machine Learning, Big Data, and Supercomputing
Abstract: Machine learning, big data and simulation challenges have led to a proliferation of computing hardware and software solutions. Hyperscale data centers, accelerators and programmable logic can deliver enormous performance via a range of analytic environments and data-storage technologies. Effectively exploiting these capabilities for science and engineering requires mathematically rigorous interfaces that allow scientists and engineers to focus on their research and avoid rewriting software each time computing technology changes. Mathematically rigorous interfaces are at the core of the MIT Lincoln Laboratory Supercomputing Center and let it deliver leading-edge technologies to thousands of scientists and engineers. This talk discusses the rapidly evolving computing landscape and how mathematically rigorous interfaces are key to exploiting advanced computing capabilities.
Biography: Dr. Jeremy Kepner is a MIT Lincoln Laboratory Fellow. He founded the Lincoln Laboratory Supercomputing Center and pioneered the establishment of the Massachusetts Green High Performance Computing Center. He has developed novel big data and parallel computing software used by thousands of scientists and engineers worldwide. He has led several embedded computing efforts, which earned him a 2011 R&D 100 Award. Dr. Kepner has chaired SIAM Data Mining, IEEE Big Data, and the IEEE HPEC conference. Dr. Kepner is the author of two bestselling books on Parallel MATLAB and Graph Algorithms. His peer-reviewed publications include works on abstract algebra, astronomy, astrophysics, cloud computing, cybersecurity, data mining, databases, graph algorithms, health sciences, plasma physics, signal processing, and 3D visualization. In 2014, he received Lincoln Laboratory's Technical Excellence Award. Dr. Kepner holds a B.A. in astrophysics from Pomona College and a Ph.D. in astrophysics from Princeton University.
Host: Dr. Viktor K. Prasanna
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Kathy Kassar
