Georgiy Levchuk

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Network analysis is a growing field across many domains, including computer vision, social media marketing, transportation networks, and intelligence analysis. The growing use of digital communication devices and platforms, as well as persistent surveillance sensors, has resulted in explosion of the quantity of data and stretched the abilities of current(More)
Model-driven simulation can make the design and delivery of instruction more efficient and effective. We describe two computational models that support both the design and delivery of instruction. BEST (the Benchmarked Experiential System for Training) can guide experts through the space of domain problems during the knowledge engineering phase of(More)
In this paper we present probabilistic graph fusion algorithms to support information fusion and reasoning over multi-source text media. Our methods resolve misinformation by combining knowledge similarity analysis and conflict identification with source characterization. For experimental purposes, we used the dataset of the articles about current military(More)
In this paper, we propose a demonstration of our capabilities in fusing information extracted from correlated video and text documents. We generate a probabilistic association between entities mentioned in text and detected in video data by jointly optimizing the measure of appearance and behavior similarity. We manage uncertainty that arises from(More)
The dynamic nature of hostile, urban environments has resulted in an increased interest in novel command and control (C2) technologies and associated tactics, techniques, and procedures (TTPs). However, the introduction of new technologies to support C2 significantly impacts performance and effectiveness of military forces. The goal of our research was to(More)
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