# of Displayed Technologies: 5 / 5

Applied Category Filter (Click To Remove): Artificial Intelligence & Machine Learning


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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

AI-Enhanced Predictive Control for Hybrid Powertrain Energy Management
TS-074095 — Hybrid and electrified vehicles face increasing pressure to simultaneously reduce fuel consumption and tailpipe emissions, particularly during transient operating conditions such as cold start. Conventional rule-based or static control strategies struggle to optimally manage the tradeoffs among en…
  • College: College of Engineering (COE)
  • Inventors: Liu, Yuxing; Canova, Marcello
  • Licensing Officer: Zinn, Ryan

Emergency Response Tool for Industrial Facilities
TS-041844 — Artificial intelligence software for making risk-informed decisions to prevent and mitigate emergencies.
No solutions exist for predicting the likelihood of future undesirable consequences across various industrial settings. The lack of these solutions subjects personnel, the public, and the environment to potentially catastrophic consequences. Essential services such as power plants, pump stations,…
  • College: College of Engineering (COE)
  • Inventors: Yilmaz, Alper; Ajam Gard, Nima; Aldemir, Tunc; Denning, Richard; Lee, Ji Hyun
  • Licensing Officer: Zinn, Ryan

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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