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Dynamic Removal of Clutter to Improve Situational Awareness in Traffic Management Systems
TS-054551 — Algorithm/software that dynamically classifies and removes clutter in systems such as the traffic management systems of Unmanned Aircraft Systems Traffic Management (UTM) and Urban Air Mobility (UAM).
The Unmanned Aerial Vehicle (UAV) market is predicted to be worth $56.18 billion by 2027. The global commercial UAV market size alone was valued at $13.44 billion in 2020, with a recorded demand of over 689,000 units. With a wide range of applications, the UAV market is expected to grow at 19.9% C…
  • College: College of Engineering (COE)
  • Inventors: Singhal, Achal
  • Licensing Officer: Zinn, Ryan

Point Prognostics: Closed Loop Particle Forecasting Platform for Decision Support and System Prognostics
TS-049903 — A scalable, adaptive computational platform (software) that performs accurate, predictive computer simulations in less time, with the end goal of supporting a decision-making agency
A report by IOT Analytics evaluated the predictive maintenance (PdM) market at $1.5 billion in 2016 and anticipated a growth of 39% annually to $10.96 billion by 2022. Particle methods (broadly known as "Monte Carlo'' methods, or, MC) are a class of computational algorithms used in Pd…
  • College: College of Engineering (COE)
  • Inventors: Kumar, Mrinal; Yang, Chao "Chao"
  • Licensing Officer: Zinn, Ryan

Point Prognostics: Closed Loop Particle Forecasting Platform for Decision Support and System Prognostics
TS-049903 — A scalable, adaptive computational platform (software) that performs accurate, predictive computer simulations in less time, with the end goal of supporting a decision-making agency
A report by IOT Analytics evaluated the predictive maintenance (PdM) market at $1.5 billion in 2016 and anticipated a growth of 39% annually to $10.96 billion by 2022. Particle methods (broadly known as "Monte Carlo'' methods, or, MC) are a class of computational algorithms used in Pd…
  • College: College of Engineering (COE)
  • Inventors: Kumar, Mrinal; Yang, Chao "Chao"
  • Licensing Officer: Zinn, Ryan

Process Monitoring of Internal Temperature Distribution of Powder Bed Fusion Parts
TS-047605 — An ensemble kamlan filter (EnKF) state observer algorithm and process monitoring method for more quickly and accurately estimating the internal temperature gradient of Powder Bed Fusion parts for enhanced process monitoring and control.
Powder Bed Fusion (PBF) is a subset of additive manufacturing processes that performs a layer-by-layer fabrication of metal components by selectively melting metal powder disbursed over the earlier layer. PBF processes encompass methods such as selective laser sintering (SLS), direct metal laser s…
  • College: College of Engineering (COE)
  • Inventors: Wood, Nathaniel; Hoelzle, David "David"
  • Licensing Officer: Zinn, Ryan

Closed Loop Particle Forecasting Platform for Decision Support and System Prognostics.
TS-042531 — A computational platform for forecasting the state of evolving systems and processes.
Particle methods are a class of computational algorithms used to estimate potential outcomes of a system or process. Although popular for their simplicity and scalability, the use of fixed sized "particle ensembles" renders the simulations unable to provide performance guarantees in quan…
  • College: College of Engineering (COE)
  • Inventors: Kumar, Mrinal; Yang, Chao "Chao"
  • Licensing Officer: Zinn, Ryan

Closed Loop Particle Forecasting Platform for Decision Support and System Prognostics.
TS-042531 — A computational platform for forecasting the state of evolving systems and processes.
Particle methods are a class of computational algorithms used to estimate potential outcomes of a system or process. Although popular for their simplicity and scalability, the use of fixed sized "particle ensembles" renders the simulations unable to provide performance guarantees in quan…
  • College: College of Engineering (COE)
  • Inventors: Kumar, Mrinal; Yang, Chao "Chao"
  • Licensing Officer: Zinn, Ryan

The STEMcoding Learning Management System
TS-040123 — The STEMcoding Learning Management System is a tool for incorporating computer programming activities into introductory STEM courses.
As technology becomes more advanced over time, the need for people with programming knowledge increases, especially in fields where technology can be used to improve efficiency. Despite the fact that STEM courses have not traditionally used programming activities to teach concepts, there are vast …
  • College: College of Arts & Sciences
  • Inventors: Orban, Christopher; Britt, Christopher "Christopher"; Porter, Christopher
  • Licensing Officer: Davis, Stewart

Automated Detection of Tumor Budding in Colorectal Cancer
TS-039267 — A non-invasive and automated tumor budding image analysis system for colorectal cancer. This program can detect tumor buds in traditional H&E stained sections without the need for manual assessment.
Colorectal cancer is the third most commonly diagnosed cancer in the United States. With a survival rate of less than 65%, early detection and treatment are key factors in survival. Tumor budding, associated with higher tumor stage, lymph node metastasis, and decreased disease-free survival, has e…
  • College: College of Medicine (COM)
  • Inventors: Gurcan, Metin; Ahmad Fauzi, Mohammad Faizal; Chen, Wei "Wei"; Frankel, Wendy
  • Licensing Officer: Norris, Francis "Frank"

Digital Analysis and Lesion Segmentation Software for Tele-Dermatology
TS-038429 — An automated image analysis system for the recognition and quantification of skin disease.
Acne and rosacea are skin diseases that affect around 85% of individuals. There is no gold standard for evaluation of these skin diseases, and their treatment efficacy is generally determined according to a poorly validated counting process by the physician and patient. This process is prone to po…
  • College: College of Medicine (COM)
  • Inventors: Kaffenberger, Benjamin; Gurcan, Metin
  • Licensing Officer: He, Panqing

A Wearable Integrated System of Augmented Reality for Targeted Pathologic Specimen Sampling
TS-037535 — An integrated system to improve the quality of analysis of the resected tumor specimen that provides the pathologist with the latest technological and scientific advancements.
In the field of cancer pathology, the identification and sampling of tumors is essential for both surgical applications and treatment plans for patients that may include post-operative chemotherapy and/or radiation therapy. Currently pathologists and pathologist assistants rely on visual and tacti…
  • College: College of Engineering (COE)
  • Inventors: Yilmaz, Alper; Hall, Nathan; Hitchcock, Charles; Lee, Young Jin; Martin, Edward; Nichols, Shawnn; Ozer, Enver; Povoski, Stephen; Sachire, Jennifer; Xu, Ronald
  • Licensing Officer: Norris, Francis "Frank"

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