Propagation-Based Fault Detection and Sensor Optimization for Complex Industrial Systems
TS-072175 — The Need
Modern industrial and energy systems are increasingly complex, making timely fault detection and discrimination critical for safety, reliability, and cost control. Existing fault diagnosis methods often struggle with transient states, require extensive historical data, or lack interpretabil…
- College: College of Engineering (COE)
- Inventors: Smidts, Carol; Diao, Xiaoxu; Li, Boyuan
- Licensing Officer: Giles, David
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
SPARKLE: Machine Learning Platform for Rapid Organic Battery Material Discovery
TS-071386 — The Need
The search for sustainable, high-performance battery materials is hindered by reliance on finite metal-based resources and slow, trial-and-error development cycles. Organic electrode materials (OEMs), composed of earth-abundant elements, offer a more sustainable path but present challenges …
- College: College of Engineering (COE)
- Inventors: Paulson, Joel; Muthyala, Madhav; Park, Jay; Sorourifar, Farshud; Zhang, Shiyu
- Licensing Officer: Mess, David
VerDiff: Automated Vulnerability Version Detection for Open Source Security
TS-071385 — The Need
Open source software is foundational to modern development, yet it introduces significant security risks due to outdated dependencies and inaccurate vulnerability advisories. Public databases often fail to identify all affected versions of software, leaving organizations exposed. With vulne…
- College: College of Engineering (COE)
- Inventors: Anwar, Md Sakib; Lin, Zhiqiang; Yagemann, Carter
- Licensing Officer: Mess, David
Efficient Machine Learning Prediction of Solvation Thermodynamics
TS-071267 — The Need
Modeling solvent effects on catalytic surfaces is critical for designing industrial processes like biomass conversion, fuel synthesis, and electrocatalysis. Traditional multiscale simulations combining density functional theory (DFT) and molecular dynamics (MD) offer accuracy but are comp…
- College: College of Engineering (COE)
- Inventors: Getman, Rachel; Punyapu, Rohit; Shi, Jiexin
- Licensing Officer: Randhawa, Davinder
A Generalized Mistuning Model for Bladed Disk Systems
TS-070971 — The Need
Modern gas turbines and compressors rely on bladed disks, which are highly sensitive to mistuning caused by manufacturing tolerances, wear, or damage. Existing modeling tools are fragmented, complex, and often limited to specific mistuning types. Industry will greatly benefit from a unified…
- College: College of Engineering (COE)
- Inventors: D'Souza, Kiran; Krizak, Troy
- Licensing Officer: Giles, David
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
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
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