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DIAMOND: Risk-Based Cyber Vulnerability Management with Business Context Analytics
TS-074364 — Senior executives struggle to understand and prioritize cybersecurity risk in business terms. Existing vulnerability scoring systems rely on opaque or arbitrary measures that fail to connect cybersecurity decisions to financial impact, staffing costs, or operational tradeoffs. As a result, organiz…
  • College: College of Engineering (COE)
  • Inventors: Allen, Theodore "Ted"; RoyChowdhury, Sayak
  • Licensing Officer: Zinn, Ryan

Vision System Using MDP-Based Tracking for Automated Dimensional Analysis
TS-068440 — Accurate measurement of physical attributes, such as dimensions, alignments, and surface features, is essential for ensuring quality and consistency across industries. Traditional measurement methods, often reliant on manual tools and human oversight, are time-intensive, prone to errors, and lac…
  • College: College of Engineering (COE)
  • Inventors: Allen, Theodore "Ted"; Rodriguezbuno, Ramiro; Zhang, Yifei
  • Licensing Officer: Giles, David

Optimal and Pure Leaf Classification Trees for Machine Learning (ML) Decision-Making
TS-067550 — A method to improve the performance and accuracy of ML-based decision trees.
Decision trees are popular machine learning (ML) methods used in classification and regression problems, and they have numerous applications in the real world. Various industries use decision trees to help decide strategies, investments, and operations. In addition, they are used in healthcare to he…
  • College: College of Engineering (COE)
  • Inventors: Allen, Theodore "Ted"; Arrey, Evelyn; Booth, Matthew; Liu, Enhao; Mashayekhi, Medhi
  • Licensing Officer: Giles, David

A Cybersecurity Vulnerability Prioritization System Including Identifying "Super-Critical" Vulnerabilities, predicting "Dark Host" Vulnerabilities, and Addressing Economic Costs
TS-066063 — Our cybersecurity vulnerability maintenance system stands as a pillar of modern security strategy, transforming reactive security measures into a preemptive defense mechanism. This integration of technology and economics ensures that your most critical assets are protected efficiently and effectively, making it an invaluable tool for any organization serious about security.
In today’s hyper-connected world, the escalation in cyber threats poses significant risks to organizational data and systems. Vulnerabilities within network infrastructures can lead to massive security breaches, as demonstrated by incidents like the 2017 Equifax hack. Effective vulnerability…
  • College: College of Engineering (COE)
  • Inventors: Allen, Theodore "Ted"; Liu, Enhao
  • Licensing Officer: Giles, David

Learning Optimal Empirical Reward iNtelligence (LOERN) with Cyber Maintenance Applications
TS-040341 — A software solution designed to optimize cyber security decision making and reduce maintenance costs.
As the world becomes more and more connected, our systems become more and more vulnerable. If cyber security can become more automated, risk-based decisions can be made more quickly and rationally. Organizations can then leverage this decision-making to improve their security without increasing co…
  • College: College of Engineering (COE)
  • Inventors: Allen, Theodore "Ted"; Hou, Chengjun
  • Licensing Officer: Zinn, Ryan

Subject Matter Expert Refined Topic Models
TS-015175 — Human-Assisted Modeling (HAM), Subject Matter Expert Refined Models (SMERM), and Subject Matter Expert Refined Topic (SMERT) Models.
Currently, unstructured data represents up to 80% of the data within an organization. This means the traditional data, such as sales figures or other statistics, are separated into different documents without a meaningful and effective way to aggregate the data. Due to this there is now an opportu…
  • College: College of Engineering (COE)
  • Inventors: Allen, Theodore "Ted"; Xiong, Hui
  • Licensing Officer: Zinn, Ryan

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