Available Technologies
# of Displayed Technologies: 10 / 100
Applied Category Filter (Click To Remove): Software
NanoPlex: Rapid, Memory-Efficient Nanopore Data Solutions for Modern Labs
TS-070331 —
Accelerate discovery and streamline workflows with a next-generation platform for high-throughput nanopore data extraction.
Overview
Nanopore sensing is revolutionizing genomics, proteomics, and diagnostics, but the explosive growth in data volume has outpaced the capabilities of current analysis tools. Researchers often face bottlenecks due to slow processing speeds, memory limitations, and the need for specialized …
- College: College of Arts & Sciences
- Inventors: Bandara, Nuwan
- Licensing Officer: Panic, Ana
Precision Soil Health: The Key to Sustainable, High-Yield Farming
TS-070310 —
An integrated soil health assessment and management platform that empowers growers to boost yields and sustainability through data-driven decisions.
Soil health is the cornerstone of sustainable agriculture, yet traditional management often overlooks the complex interactions that drive crop performance and environmental outcomes. Many growers struggle to optimize yields and reduce input costs due to limited, fragmented soil data. This techno…
- College: College of Food, Agricultural, and Environmental Sciences (CFAES)
- Inventors: Dick, Richard; Renz, Peter
- Licensing Officer: Panic, Ana
GPS Independent Lane Level Vehicle Localization
TS-069654 — Technology bundle containing T2025-148 and T2024-150.
The Need
Reliable vehicle localization is critical for autonomous and human-driven vehicles, especially in GPS-denied environments such as dense urban areas, tunnels, and off-road farms and construction sites. Current localization methods relying solely on GPS are prone to signal loss and inaccurac…
- College: College of Engineering (COE)
- Inventors: Javed, Nur Uddin; Ahmed, Qadeer
- Licensing Officer: Ashouripashaki, Mandana
Motion-Guided Deep Image Prior (M-DIP) for Dynamic Image Reconstruction in Cardiovascular MRI
TS-069527 — The Need
Cardiovascular MRI (CMR) data acquisition is often time-consuming and relies on complex reconstruction methods that do not fully exploit the spatial and temporal structure of CMR data. There is a need for a more efficient, unsupervised approach that can accelerate CMR imaging while maintai…
- College: College of Engineering (COE)
- Inventors: Ahmad, Rizwan; Chen, Chong; Sultan, Muhammad
- Licensing Officer: Randhawa, Davinder
SyMANTIC – Novel Symbolic Regression to Discover Accurate Models from Data
TS-069523 — The Need
In many scientific and industrial fields, there is a critical need for interpretable and accurate models that can be derived from complex datasets. Traditional machine learning methods often produce black-box models that lack transparency and interpretability, making it difficult to unders…
- College: College of Engineering (COE)
- Inventors: Muthyala, Madhav Reddy; Paulson, Joel; Sorourifar, Farshud
- Licensing Officer: Randhawa, Davinder
Joint Activity Testing (JAT): A Testing & Evaluation Methodology for Human-Machine Teams
TS-068443 —
In high-stakes industries, the integration of humans and advanced automation systems demands evaluation methods that reliably predict performance under varying challenges. Current testing methods often focus on individual components, failing to assess how human-machine teams operate as a unit, par…
- College: College of Engineering (COE)
- Inventors: Morey, Dane; Rayo, Michael
- 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; Rodriguezbuno, Ramiro; Zhang, Yifei
- Licensing Officer: Zinn, Ryan
Computational Design of Experiment Framework for Processing of Metal Alloys
TS-067792 — A software tool for optimizing the manufacturing process for metal alloys.
Metallic alloys are composed of a homogeneous mixture of two or more metals or of metals and nonmetal or metalloid elements to provide specific characteristics or structural properties. Alloys are used in many applications, such as aircraft, offshore drilling, automobiles, and others.
Obtaining t…
- College: College of Engineering (COE)
- Inventors: Alexandrov, Boian; Forquer, Matthew; Jang, Eun; Luo, Yuxiang; Stewart, Jeffrey
- Licensing Officer: Zinn, Ryan
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; Arrey, Evelyn; Booth, Matthew; Liu, Enhao; Mashayekhi, Medhi
- Licensing Officer: Zinn, Ryan
Unlocking Hidden Opportunities: The Power of Multi-Solution Spatial Aggregation
TS-067434 — The Need
Spatial aggregation is crucial in numerous industries where data from low-level spatial units, such as census blocks, must be grouped into larger, meaningful regions. Traditional approaches often struggle with the computational complexity of these tasks and tend to focus on finding a singl…
- College: College of Arts & Sciences
- Inventors: Xiao, Ningchuan
- Licensing Officer: Dahlman, Jason "Jay"
