NanoCryptograph: Next-Generation Cryptography with Nanopore-Derived True Random Number Generation
TS-075198 — Nanopore-based cryptography enabling stronger, more reliable r
andomness for modern cybersecurity.
The Need
As digital infrastructure scales and cyber threats become more sophisticated, the integrity of cryptographic systems increasingly depends on the quality of their randomness. From encryption keys to authentication protocols, weak or predictable entropy can undermine even the most advanced …
- College: College
of
Arts
and
Sciences
(ASC)
- Inventors: Bandara, Nuwan; Amarasekara, Dhanush; Gussenhoven, Katherine
- Licensing Officer: Panic, Ana
Human–AI Interaction Research Platform
TS-074578 —
The Need
As AI systems are rapidly deployed across healthcare, education, and high-stakes decision-making, organizations lack rigorous tools to evaluate how humans actually interact with, trust, and respond to AI in real-world conditions.
Opportunity Overview
Researchers at the Ohio State Univ…
- College: College
of
Arts
and
Sciences
(ASC)
- Inventors: Meng, Jingbo
- Licensing Officer: Panic, Ana
DEEP Phaser: AI Powered Automation for NMR Phase Correction
TS-073932 —
DEEP Phaser enables fully automated, expert level phase correction to improve NMR data quality, consistency, and throughput across routine and high-volume workflows.
Problem Overview
Accurate phase correction is essential for reliable NMR interpretation and quantitative analysis. Despite its impo…
- College: College
of
Arts
and
Sciences
(ASC)
- Inventors: Li, Da-Wei; Bruschweiler, Rafael
- Licensing Officer: Panic, Ana
NucNano: Predictive Drug Screening Platform
TS-071946 —
Mechanistic drug screening technology to improve preclinical decision-making
and reduce late-stage development risk.
Technology Summary
NucNano is an emerging drug screening platform from The Ohio State University designed to help pharmaceutical and biotechnology companies identify more promising therapeutic candidates earlier in development. By moving beyond conventional assays that primarily measure bindin…
- College: College
of
Arts
and
Sciences
(ASC)
- Inventors: Poirier, Michael; Bonin, Kalven; Bundschuh, Ralf; Castro, Carlos
- Licensing Officer: Panic, Ana
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
and
Sciences
(ASC)
- Inventors: Chan, Man-Yau "Joseph"
- Licensing Officer: Panic, Ana
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
and
Sciences
(ASC)
- Inventors: Xiao, Ningchuan
- Licensing Officer: Dahlman, Jason "Jay"
Reservoir Computing Optimization: Meeting the Demand for Efficient Network Topologies
TS-065449 — The Need: Modern computational tasks demand efficient and resource-effective solutions. Traditional methods often fall short due to their high resource consumption and power requirements. Reservoir computing, while promising, has faced limitations in optimizing network topologies efficiently, hinder…
- College: College
of
Arts
and
Sciences
(ASC)
- Inventors: Griffith, Aaron; Gauthier, Daniel
- Licensing Officer: Dahlman, Jason "Jay"
Deep Reservoir Computers for Precise Chaos Control
TS-065447 — The Need:
In the realm of nonlinear control engineering, managing systems with chaotic dynamics poses a significant challenge. Conventional methods often fall short in achieving precise control over such systems due to their complexity and unpredictability. There's a pressing need for a solutio…
- College: College
of
Arts
and
Sciences
(ASC)
- Inventors: Canaday, Daniel; Gauthier, Daniel; Griffith, Aaron
- Licensing Officer: Dahlman, Jason "Jay"
Reservoir Computing: Revolutionizing Rapid Processing
TS-065446 — The Need: In today's fast-paced commercial landscape, there's an increasing demand for rapid processing of complex data sets. Traditional computing methods often struggle to keep pace with real-time requirements, leading to inefficiencies and missed opportunities. Addressing this need for sw…
- College: College
of
Arts
and
Sciences
(ASC)
- Inventors: Canaday, Daniel; Gauthier, Daniel; Griffith, Aaron
- Licensing Officer: Dahlman, Jason "Jay"
Introducing Revolutionary IC Chip Technology: Enhancing Cybersecurity with Physically Unclonable Functions
TS-065436 — The Need: In an era dominated by digital transactions and sensitive data exchanges, ensuring robust cybersecurity measures is paramount for individuals and organizations alike. Traditional methods of securing data often fall short in the face of sophisticated cyber threats, necessitating innovative …
- College: College
of
Arts
and
Sciences
(ASC)
- Inventors: Gauthier, Daniel; Canaday, Daniel; Charlot, Noeloikeau
- Licensing Officer: Dahlman, Jason "Jay"
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