Forecast Amplifier-Triple Your Weather Ensemble Quickly and Affordably
TS-071915 — An ultra‑efficient probit‑space ensemble expansion approach triples the size of weather‑forecast ensembles by producing hundreds of realistic “virtual” members from existing runs using minimal compute time and expert statistical knowledge.
Modern weather models are extremely complex, and each forecast can only be simulated a limited number of times. This means forecasters often have just 50–100 versions of a prediction to work with, even though the atmosphere itself is vastly more complicated. With so few samples, important de…
- College: College of Arts & Sciences
- Inventors: Chan, Man-Yau "Joseph"
- Licensing Officer: Panic, Ana
AI-Driven Intersection Safety System for Vulnerable Road User Protection
TS-070954 — The Need
Intersections are among the most dangerous areas on U.S. roadways, accounting for approximately 25% of traffic fatalities and nearly half of all injuries annually. Vulnerable Road Users (VRUs), including pedestrians and cyclists, face increasing risk due to complex traffic dynamics and limi…
- College: College of Engineering (COE)
- Inventors: Yurtsever, Ekim; Giuliani, Michele; Rizzoni, Giorgio
- Licensing Officer: Ashouripashaki, Mandana
HyperXtract: Rapid, Memory-Efficient Data Extraction for Nanopore Data
TS-070331 —
Accelerate discovery and streamline workflows with a next-generation platform for high-throughput nanopore data extraction.
The Need
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 har…
- College: College of Arts & Sciences
- Inventors: Bandara, Nuwan
- Licensing Officer: Panic, Ana
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
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
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"
BDAMPER: Advanced Application Software for Dynamic Analysis and Design of Friction Damper Structures
TS-066234 —
In the realm of rotating machinery and structural engineering, the need to manage and mitigate vibrations is paramount. Excessive vibrations can lead to material fatigue, operational inefficiency, and catastrophic failures. Industries require a sophisticated, accurate, and versatile tool to design…
- College: College of Engineering (COE)
- Inventors: Menq, Chia-Hsiang; Yang, Been-Der
- Licensing Officer: Zinn, Ryan
AI Software for Complex NMR Spectra Analysis
TS-062576 — The Need
Like a molecular “fingerprint”, NMR spectra provide valuable insights into the properties and structures of molecular compounds. However, analyzing and interpreting NMR spectra is inherently challenging as comprehensive and explicit identification of a compound is tedious and t…
- College: College of Arts & Sciences
- Inventors: Li, Da-Wei; Bruschweiler, Rafael
- Licensing Officer: Panic, Ana
AI Software for Complex NMR Spectra Analysis
TS-062574 — The Need
Like a molecular “fingerprint”, NMR spectra provide valuable insights into the properties and structures of molecular compounds. However, analyzing and interpreting NMR spectra is inherently challenging as comprehensive and explicit identification of a compound is tedious and t…
- College: College of Arts & Sciences
- Inventors: Li, Dawei "Dawei"; Bruschweiler, Rafael
- Licensing Officer: Panic, Ana
Visual Function Mapping Technology: Enhancing Vision Care and Diagnostics
TS-062335 — The Need: In the field of ophthalmology and vision care, there is a critical need for accurate and comprehensive measurements of visual function over the entire visual field. Conditions such as glaucoma, age-related macular degeneration (AMD), diabetes, stroke, pituitary disease, brain tumors, and n…
- College: College of Arts & Sciences
- Inventors: Lu, Zhong-Lin; Lesmes, Luis; Xu, Pengjing "PJ"; Yu, Deyue
- Licensing Officer: Dahlman, Jason "Jay"
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