University of Southern California

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Aram Galstyan
 Project Leader 
 Information Sciences Institute 
 Research Associate Professor 
 Department of Computer Science 
 University of Southern California 
  Aram Galstyan is a Project Leader at the Information Sciences Institute and a Research Associate 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.  
 Research Interests  
  Artificial Intelligence: machine learning, graphical models, semi-supervised learning, statistical mechanics of inference and learning.  
  Complex Networks: Statistical models of co-evolving networks, staitsical mechanics of networks, social network modeling and analysis, dynamical processes in networks.  
  Multi-agent systems: emergent phenomena in MAS, learning and adaptation in MAS, swarm robtics.  
 Recent News  
  December 2015  
  My presentatioin at the Network Inference Workshop at Santa Fe Institute is availble here .  
  Our paper Latent Space Model for Multoimodal Social Data was accepted to WWW'16.  
  November 2015  
  Our paper Extracting Biomolecular Interactions Using Semantic Parsing of Biomedical Text was accepted to AAAI'16.  
  May 2015  
  Our paper "Estimating Mutual Information by Local Gaussian Approximation" has been accepted to UAI'15.  
  March 2015  
  Our team was the only one to achieve perfect accuracy in DARPA's Twitter Influence Bot Detection challange; see a Viterbi News coverage of our work here .