Rapid, Lower-Cost Fatigue Assessment for Metal Components
TS-077316 —
Fatigue qualification of metal components can require lengthy, expensive cyclic testing, particularly when component geometry, manufacturing history, and material gradients make coupon-level data insufficient. Thermal assessment offers a faster alternative, but conventional approaches rely on full…
- College: College of Engineering (COE)
- Inventors: Hong, Isaac; Merrifield, Ava
- Licensing Officer: Giles, David
Scalable Semantic Binary Similarity Across Compilers and Architectures
TS-077314 —
Security teams increasingly need to identify related or vulnerable code across large collections of compiled software and firmware. This is difficult because compilation strips away source-level information, while different compilers, optimization settings, and processor architectures can make fun…
- College: College of Engineering (COE)
- Inventors: Lin, Zhiqiang; Wang, Huaijin
- Licensing Officer: Giles, David
Ground-to-Grid Subsurface Energy Integration for Flexible, Resilient AI Data Centers
TS-077279 —
AI data centers are being built faster than the grid can keep up. In some regions, electricity demands are projected to grow from about 3 GW to 100 GW within a few years. New generation and transmission take much longer to plan, permit and build. AI training loads also ramp steeply and are sensiti…
- College: College of Engineering (COE)
- Inventors: Leveni, Martina; Chen, Chen; Shafieezadeh, Abdollah
- Licensing Officer: Giles, David
Single-Input Optical Gate Drive Architecture for Power Electronics
TS-077144 —
Medium-voltage and high-voltage power electronics require robust isolation between control and power stages to ensure safe, reliable operation. Existing gate drive architectures typically rely on multiple isolated power supplies, signal isolation components, and communication channels, increasing …
- College: College of Engineering (COE)
- Inventors: Wang, Jin; Yang, Juchen
- Licensing Officer: Ashouripashaki, Mandana
Adaptive Long-Context Multimodal Modeling for City-Scale Accident Risk Prediction
TS-077096 —
Urban traffic accidents are difficult to predict because risk changes rapidly with traffic conditions, weather, human activity, road characteristics, and events occurring elsewhere in a city. Existing prediction approaches often rely on fixed historical windows or isolated data sources, limiting t…
- College: College of Engineering (COE)
- Inventors: Guha Neogi, Pinaki Prasad; Mohammadshirazi, Ahmad; Ramnath, Rajiv
- Licensing Officer: Giles, David
Mushroom-Based Nutrition for Managed Bumble Bees
TS-077079 — A dietary supplement to support offspring development and colony growth
Overview
Researchers at The Ohio State University have developed a mushroom-based dietary supplement with potential to improve nutrition for commercially reared bumble bees. The technology incorporates oyster mushroom mycelium (the vegetative portion of the fungus) into pollen-based feed. In la…
- College: College of Food, Agricultural, and Environmental Sciences (CFAES)
- Inventors: Donzelli, Brooke; Strange, Jamie "James"
- Licensing Officer: Panic, Ana
Real-Time Predictive Control Framework for High-Performance Multirotor Drones
TS-077042 —
Multirotor drones increasingly need to execute precise, dynamic trajectories while operating under strict computational, actuator, and safety constraints. Nonlinear model predictive control can provide strong tracking performance but often requires substantial onboard computation, creating challen…
- College: College of Engineering (COE)
- Inventors: Rajkumar, Santosh M.; Goswami, Debdipta
- Licensing Officer: Giles, David
Integrated System Failure Analysis with Chemical Techniques (IS-FACT)
TS-076995 —
Manufacturers of advanced products such as nuclear fuels, specialty chemicals, energy materials, and semiconductor coatings increasingly rely on complex processes where chemical reactions and physical system behavior are tightly coupled. Existing system-level failure analysis tools are effective a…
- College: College of Engineering (COE)
- Inventors: Layer, Daniel; Diao, Xiaoxu; Smidts, Carol; Zanardo Rodrigues, Vinicius
- Licensing Officer: Giles, David
Dimension-Free Federated Learning for Large-Scale AI Models
TS-076904 —
Federated learning enables collaborative AI training without sharing sensitive data, making it attractive for healthcare, finance, edge computing, and enterprise applications. However, widespread deployment remains limited by the enormous communication burden associated with repeatedly transferrin…
- College: College of Engineering (COE)
- Inventors: Liu, Jia "Kevin"
- Licensing Officer: Giles, David
High-Selectivity Solid-State Solar-Blind UV Photodetector with Ultra-Low Dark Current
TS-076823 —
Solar-blind UV detection (200–280 nm) is essential across defense, fire detection, secure optical communications, environmental monitoring, and space applications. Existing solutions — photomultiplier tubes and filtered silicon photodetectors — are bulky, fragile, require high op…
- College: College of Engineering (COE)
- Inventors: Rajan, Siddharth; McGlone, Joseph "Joe"; Wriedt, Nathan
- Licensing Officer: Ashouripashaki, Mandana
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