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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

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

Method and software for auditing irrigation systems using thermal drone imaging
TS-076584 — A drone-enabled technology for auditing irrigation performance across golf courses, athletic fields, agricultural land, parks, and other managed landscapes. The system combines aerial sensor data with geospatial mapping and intelligent analysis to generate visual irrigation-audit maps and indicators of water-distribution uniformity and system efficiency. This approach may reduce the time and field labor required for conventional irrigation audits while helping users identify uneven watering and irrigation components that may need attention.
Researchers at The Ohio State University are developing a method and software workflow for evaluating irrigation-system performance using drone-mounted thermal imaging and geospatial analysis. The approach captures thermal imagery of turf surfaces before, during, and after an irrigation cycle. The i…
  • College: College of Food, Agricultural, and Environmental Sciences (CFAES)
  • Inventors: Vanlandingham, Tyler; Petrella, Dominic
  • Licensing Officer: Giles, David

Label-Free Raman Imaging for Early Detection of Disease Remodeling
TS-076401 — Many progressive diseases, including cardiac, neurological, and other chronic disorders, begin with subtle molecular and cellular changes long before conventional clinical signs become detectable. Current diagnostic approaches generally identify disease only after significant tissue remodeling or …
  • College: College of Engineering (COE)
  • Inventors: Veeraraghavan, Rengasayee; Ammon, Madison; Radwanski, Przemyslaw; Selimi, Zoja
  • Licensing Officer: Ashouripashaki, Mandana

AI-Enabled Quantitative Assessment of External Heart Pump Performance
TS-075868 — Clinicians managing pediatric patients supported by a ventricular assist device must routinely assess pump performance by visually estimating membrane fill and ejection during pump cycles. These evaluations are critical for patient management but are inherently subjective, time-consuming, and pron…
  • College: College of Engineering (COE)
  • Inventors: Eichaker, Lauren; Fabian, Benjamin; Florence, Megan; Jain, Amara; Juarez, Alejandro; Nandi, Deipanjan; Robinson, Tavi; Sharma, Meghna
  • Licensing Officer: Sharick, Joe

Skill Gap Analytics and Workforce Training Recommendation Platform
TS-075512 — Organizations invest substantial resources in employee training and professional development, yet many struggle to demonstrate a clear connection between training expenditures, workforce performance, and career advancement. Human resources teams often lack effective tools to identify specific skil…
  • College: Fisher College of Business
  • Inventors: Goffe, Gretchen
  • Licensing Officer: Zinn, Ryan

Automated Cross-Document Table Consolidation and Visualization Platform
TS-075489 — Organizations across healthcare, government, finance, market intelligence, and regulatory sectors routinely generate large collections of reports containing valuable tabular data. While these reports often follow consistent formats, extracting, comparing, and analyzing information across multiple …
  • College: College of Engineering (COE)
  • Inventors: Bajaj, Goonmeet Kaur; Parthasarathy, Srinivasan
  • Licensing Officer: Giles, David

Ontology-Based Fault Propagation Analysis for Safety-Critical Systems
TS-075450 — Safety-critical systems in industries such as energy, aerospace, industrial automation, and advanced manufacturing are becoming increasingly complex, integrating hardware, software, controls, sensors, and communication networks. Existing fault analysis methods are often domain-specific and require…
  • College: College of Engineering (COE)
  • Inventors: Diao, Xiaoxu; Smidts, Carol
  • Licensing Officer: Giles, David

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