基本信息
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Bio
Currently Dustin’s research interests covers the intersection of machine learning, networks, and visual analytics, with a particular focus on novel and intuitive ways to communicate dynamism in complex changing systems.
Dustin is pioneering novel and scalable techniques for using storylines to visualize dynamic structure in networks and other forms of data. Recently an application of this new research won the top prize in the 2015 IEEE VPG international data visualization contest. Dustin has also recently published work on “Ocelot: User-centered Design of a Decision Support Visualization for Network Quarantine.” This research provided a novel way for users to interact with and explore a typical sized computer network for the purpose of performing moving target defense operations. Future areas of interest for Dustin will include a focus on adapting his novel techniques to real-world applications where the data is constantly streaming.
Research Interests
Papers共 61 篇Author StatisticsCo-AuthorSimilar Experts
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NEURAL COMPUTING & APPLICATIONSno. 1 (2024): 505-516
CoRR (2024)
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Journal of Open Source Softwareno. 95 (2023)
Maria Glenski,Ellyn Ayton, Sannisth Soni,Emily Saldanha,Dustin Arendt,Brian Quiter, Ren Cooper,Svitlana Volkova
AAAI 2021 (2021)
Svitlana Volkova,Dustin Arendt,Emily Saldanha,Maria Glenski,Ellyn Ayton,Joseph Cottam,Sinan Aksoy,Brett Jefferson, Karthnik Shrivaram
SocialNLP@NAACL (2021): 70-80
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