Available Technologies
# of Displayed Technologies: 4 / 4
Applied Category Filter (Click To Remove): Artificial Intelligence & Machine Learning
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; Hou, Chengjun
- Licensing Officer: Zinn, Ryan
DIAMOND
TS-037930 — Data-Driven Inspection, Alerts, Maintenance, Observable Network Decision Control System with Cyber Action Taker to Address Less Inspected Hosts Including Cell Phones
Cyber security is an important facet of many major corporations and government entities. The implementation of effective cyber security protocols is an arduous process because the most targeted individuals, C-suite and boardroom level personnel, understand the protocols the least. A lack of adhere…
- College: College of Engineering (COE)
- Inventors: Allen, Theodore; RoyChowdhury, Sayak
- 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; Xiong, Hui
- Licensing Officer: Zinn, Ryan
