Vulnerability and Attackability analysis of automotive controllers using structural model of the system
TS-063239 — The Ohio State University has developed a vulnerability analysis technique for connected and autonomous vehicles that assesses the vulnerability and attackability of the automotive controllers to determine the security of the system.
The Need
Automated vehicle technologies improve safety, assis…
- College: College of Engineering (COE)
- Inventors: Renganathan, Vishnu; Ahmed, Qadeer
- Licensing Officer: Hampton, Andrew
A Regularized Conditional GAN for Posterior Sampling in Inverse Problems
TS-063238 — A novel regularization technique applicable for medical imaging applications that leverages conditional generative adversarial networks (cGANs) to generate reconstructed images in significantly shorter timeframes.
The Need
Several techniques are used for image reconstruction in the medical aren…
- College: College of Engineering (COE)
- Inventors: Bendel, Matthew; Ahmad, Rizwan; Schniter, Philip
- Licensing Officer: Hampton, Andrew
Convolutional Neural Network to Assess Phayngeal and Laryngeal Pathology and Function on Nasopharyngolaryngoscopy
TS-063154 — Worldwide, 686,000 new head and neck (H&N) cancers are diagnosed yearly, and 375,000 people will die annually. Human papillomavirus (HPV) is responsible for an increasing subset of H&N malignancies called oropharyngeal squamous cell carcinomas (OPSCC). Although it has a better prognosis than…
- College: College of Engineering (COE)
- Inventors: Krening, Samantha; Gifford, Ryan; Jhawar, Sachin; VanKoevering, Kyle
- Licensing Officer: Hampton, Andrew
An information extraction, enrichment, and caching framework for augmented reality applications
TS-063109 — The Need
In the age of augmented reality (AR), there's a growing opportunity for a comprehensive solution that facilitates the seamless exploration of real-world data through camera-based AR applications. These applications require the ability to extract, cache, and enrich information, enhancin…
- College: College of Engineering (COE)
- Inventors: Nandi, Arnab; Burley, Codi; Sarkhel, Ritesh "Ritesh"
- Licensing Officer: Hampton, Andrew
Auditing Fairness Online through Interactive Refinement
TS-063038 — The Need
In the era of machine learning, high-stakes decisions are increasingly being made by black box models, leading to concerns about accountability and fairness. These models can exhibit inherent biases, raising the need for a system that ensures accountability and fairness in decision-making …
- College: College of Engineering (COE)
- Inventors: Maneriker, Pranav; Burley, Codi; Parthasarathy, Srinivasan
- Licensing Officer: Hampton, Andrew
Method and system for generating data-enriching augmented reality applications from a domain-specific language
TS-063032 — The Need
In the age of augmented reality (AR), there's a growing opportunity for a comprehensive solution that facilitates the seamless exploration of real-world data through camera-based AR applications. These applications require the ability to extract, cache, and enrich information, enhancin…
- College: College of Engineering (COE)
- Inventors: Nandi, Arnab; Burley, Codi; Sarkhel, Ritesh "Ritesh"
- Licensing Officer: Hampton, Andrew
Counterattacking Smart Contract Exploits: An Active Defense Approach
TS-063027 — The Need
Smart contracts have revolutionized the way transactions are conducted, but their unique nature makes them susceptible to exploitation. Despite extensive efforts in vulnerability identification, exploitable vulnerabilities persist, resulting in substantial financial losses. To mitigate thi…
- College: College of Engineering (COE)
- Inventors: LIN, ZHIQIANG; Morales, Marcelo
- Licensing Officer: Hampton, Andrew
Fresh Caching of Dynamic Content: Algorithm and Implementation
TS-063024 — The Need
In today's data-driven world, efficient caching of dynamic content is crucial for delivering timely and responsive services. Conventional caching methods struggle to adapt to frequent updates in the back-end database, leading to suboptimal system costs and decreased user satisfaction. …
- College: College of Engineering (COE)
- Inventors: Abolhassani, Bahman; Eryilmaz, Atilla
- Licensing Officer: Hampton, Andrew
Novel Deep Learning Model for Reconnaissance of Infrastructure on Drones
TS-063007 — The Need
In disaster-stricken areas, timely and accurate reconnaissance is paramount for effective response and recovery efforts. Traditional methods of assessing damage to critical infrastructure, such as power distribution poles, often involve time-consuming manual inspections, leading to delays …
- College: College of Engineering (COE)
- Inventors: Shafieezadeh, Abdollah; Bagheri Jeddi, Ashkan
- Licensing Officer: Hampton, Andrew
Pheno - A modern, multi-faceted, data-driven technology platform for addressing low back and neck pain
TS-052847 —
Back and neck pain is one of the world’s biggest health problems, and one which most people will experience during some stage in their lives. An estimated 80% of people will face this issue, although the severity of the pain may differ. Approximately 50 billion USD are spent by Americans eac…
- College: College of Engineering (COE)
- Inventors: Marras, William; Aurand, Alexander "Alex"; Dufour, Jonathan; Knapik, Gregory; Prasath, Prasath Mageswaran
- Licensing Officer: Hampton, Andrew
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