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Aram Galstyan is a Project Leader at the Information Sciences Institute and a Research Assistant Professor in the USC Viterbi School of Engineering's Computer Science Department. His current research focuses on statistical mechanics based approaches to inference and learning, statistical models of complex networks, and social network analysis. His other research interests include mathematical modeling of complex adaptive systems, emergent coordination in robotic swarms, and learning and adaptation in multi-agent systems.
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machine learning, graphical models, semi-supervised learning, statistical mechanics of inference and learning.
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Statistical models of co-evolving networks, staitsical mechanics of networks, social network modeling and analysis, dynamical processes in networks.
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emergent phenomena in MAS, learning and adaptation in MAS, swarm robtics.
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July 2013
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The slides from our ICWSM tutorial on "Information Theoretic Tools for Social Media" are online.
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May 2013
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I gave a talk at the SFI workshop on "Structure, Statistical Inference and Dynamics in Networks: From Graphs to Rich Data".
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January 2013
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I will be giving a tutorial on "Information Theoretic Tools for Social Media" at ICWSM'13 (together with Greg Ver Steeg).
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October 2012
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Our paper "Information-Theoretic Measures of Influence Based on Content Dynamics" has been accepted for a plenary presentation at WSDM'13.
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May 2012
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The final project presentations for our CSCI-599 class "Computation and Physics" are available here.
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February 2012
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I gave a talk at Twitter on Modeling Influence in Dynamic
Networks
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January 2012
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Our paper
Information Transfer in Social Media was accepted as a full paper at the 21th International Conference on World Wide Web, WWW'12
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USC team led by Prof. Galstyan has been awarded a 3 year, 6.2M grant from DARPA under the SMISC (Strategic Communication in Social Media)
program.
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September 2011
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Greg Ver Steeg and I will teach a CS-599 class on Computation and Physics in the Spring semester, 2012.
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August 2011
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The paper
Statistical Mechanics of Semi-Supervised Clustering in Sparse Graphs has been accepted for pubication in the Journal of Statistical Physics.
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June 2011
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Our paper
A Sequence of Relaxations Constraining Hidden Variable Models was selected as runner up for the Best Paper Award at the UAI 2011.
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