Jin Li


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Working on this...

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Contact: jl2aa (add "@virginia.edu" to end)

Chip Kruger


Bio
Chip Kruger joined the PTL in the Fall of 2013. His research interests include Data Mining and Machine Learning. Chip is currently working on a joint research project to model Mexican Drug Cartel operations.

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Peter Wu


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Peter joined PTL as a PhD student in 2013. His research interests include natural language processing, machine learning, as well as their applications in gaining social insights. He is currently working to develop a cultural understanding of social uprisings in Middle Eastern regions by analyzing Twitter data.

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Alexander Pape


Bio
Alex joined the PTL as a Masters student in 2013. His interests include predictive analytics for social processes and multimedia-based data sources. He is currently working on deriving image-based features in social media for event characterization and prediction.

Projects

November 8th, 2013 - Matt Gerber gives colloquium talk at Michigan State University

The talk focused on "Spatiotemporal Crime Prediction using GPS- and Time-Tagged Tweets" and was organized by the Department of Computer Science and Engineering.

September 25th, 2013 - Matt Gerber gives colloquium talk at University of Maryland

The talk focused on "Spatiotemporal Crime Prediction using GPS- and Time-Tagged Tweets" and was organized by the Computational Linguistics and Information Processing (CLIP) Laboratory.

August 27th, 2013 - Donald Brown gives plenary talk at FOSINT-SI 2013

Details on the symposium are here. The presentation is also available below.

July 12th, 2013 - Sam Huddleston defends Ph.D dissertation

Sam Huddleston successfully defended his Ph.D. dissertation, titled "Geographic Probability Algorithms with Security Force Applications". Sam will soon be joining the Center for Army Analysis as an Operations Research and Systems Analyst (ORSA).

July 3rd, 2013 - Jacob Scanlon defends M.S. proposal

Jacob Scanlon successfully defended his M.S. proposal. He will be investigating the automatic detection and tracking of recruitment activities within extremist/terrorist social media content. This work is part of our asymmetric threat prediction project, sponsored by the Army Research Laboratory.

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