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A Cybersecurity Vulnerability Prioritization System Including Identifying "Super-Critical" Vulnerabilities, predicting "Dark Host" Vulnerabilities, and Addressing Economic Costs
TS-066063 — Our cybersecurity vulnerability maintenance system stands as a pillar of modern security strategy, transforming reactive security measures into a preemptive defense mechanism. This integration of technology and economics ensures that your most critical assets are protected efficiently and effectively, making it an invaluable tool for any organization serious about security.
In today’s hyper-connected world, the escalation in cyber threats poses significant risks to organizational data and systems. Vulnerabilities within network infrastructures can lead to massive security breaches, as demonstrated by incidents like the 2017 Equifax hack. Effective vulnerability…
  • College: College of Engineering (COE)
  • Inventors: Allen, Theodore; Liu, Enhao
  • Licensing Officer: Zinn, Ryan

SimulationAI -- AI-Enabled Software Solution for Physics-Based Simulations
TS-066058 — By adopting our AI-driven solution, engineering teams can achieve more in less time, push the boundaries of innovation, and significantly cut down costs, all while maintaining or increasing the reliability and accuracy of their structural and material analysis. This is not just an evolution in FEM technology—it's a revolution.
In an era where precision and efficiency drive the success of engineering projects, the finite element method (FEM) remains indispensable but is burdened by high operational and computational costs. These costs often lead to overlooked uncertainty factors, suboptimal designs, and significant finan…
  • College: College of Engineering (COE)
  • Inventors: Soghrati, Soheil; vemparala, Balavignesh; Yang, Ming
  • Licensing Officer: Zinn, Ryan

Environmental Damage Model for Predicting Mechanism Transition under Time-Dependent Crack Growth Conditions.
TS-065131
  • College: College of Engineering (COE)
  • Inventors: Viswanathan, Gopal; Mills, Michael; Mills, David
  • Licensing Officer: Randhawa, Davinder

Automatic Mechanical Assembly Loops/Stacks Detection
TS-064578 — This software solution revolutionizes the process of tolerance stack analysis in mechanical assemblies. It automatically detects and extracts tolerance stacks as the foundational step for precise tolerance analysis and schema generation.
This software solution revolutionizes the process of tolerance stack analysis in mechanical assemblies. It automatically detects and extracts tolerance stacks as the foundational step for precise tolerance analysis and schema generation. The Need Analyzing tolerance stacks in mechanical assembl…
  • College: College of Engineering (COE)
  • Inventors: Haghighi, Payam; Shah, Jami
  • Licensing Officer: Randhawa, Davinder

"Courseseeds" micro curriculum revenue generator selling individual lessons from full courses.
TS-064247 — The Need: In the era of educational upheaval, where traditional models are giving way to the demand for flexibility and customization, Courseseeds emerges as the solution. Recognizing the shifting landscape of education and the desire for individualized learning experiences, Courseseeds addresses th…
  • College: College of Engineering (COE)
  • Inventors: Ezell, Jonathan
  • Licensing Officer: Dahlman, Jason "Jay"

How Are You Feeling Today? Organizational Mental Health Indicator and Real-Time Help Application
TS-064244 — The Need: Organizations, particularly college campuses, are facing a growing challenge in addressing student mental health issues. The rising prevalence of severe psychological problems, anxiety disorders, and depression among students necessitates a proactive and effective solution. The existing ga…
  • College: College of Engineering (COE)
  • Inventors: Ezell, Jonathan; Kaufman, Michael
  • Licensing Officer: Dahlman, Jason "Jay"

Three-dimensional cellular automation codes for solidification microstructure and porosity simulation of multi-component alloys
TS-063911 — Porosity formation during the solidification of aluminum-based alloys, induced by hydrogen gas and alloy shrinkage, presents a significant challenge for industries relying on high-performance solidification products such as castings, welds, and additively manufactured components. This issue advers…
  • College: College of Engineering (COE)
  • Inventors: Luo, Alan; Gu, Cheng
  • Licensing Officer: Zinn, Ryan

Systems and Methods of Reminding Drivers of the Stalking Vehicles on the Road
TS-063308 — In today’s world, privacy and safety are paramount. Being followed by other vehicles during driving can be unnerving and potentially dangerous, leading to privacy leakage and even significant traffic accidents. There is a pressing need for a solution that can detect abnormal following vehicl…
  • College: College of Engineering (COE)
  • Inventors: Sun, Wei; Srinivasan, Kannan
  • Licensing Officer: Randhawa, Davinder

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: Ashouripashaki, Mandana

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: Mess, David

Thermotropic liquid crystal-based sensors for naked-eye detection of SARS-CoV-2 with ultrahigh sensitivity and selectivity
TS-063069 — In the wake of the global pandemic caused by SARS-CoV-2, the need for rapid, accurate, and efficient diagnostic methods for respiratory viral infections has become more critical than ever. Traditional diagnostic methods, while reliable, are often time-consuming, labor-intensive, and lack the neces…
  • College: College of Engineering (COE)
  • Inventors: Wang, Xiaoguang; Qin, Rongjun; Rather, Adil; Xu, Yang
  • Licensing Officer: Randhawa, Davinder

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: Mess, David

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: Mess, David

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: Mess, David

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: Mess, David

A novel computational procedure for accelerated, calibrationless magnetic resonance image reconstruction (Free-breathing Accelerated MRI Portfolio)
TS-062487 — Magnetic Resonance Imaging (MRI) is a versatile noninvasive imaging tool that is routinely used to evaluate many diseases and conditions. MRI offers exquisite soft tissue contrast and high spatial resolution to enable comprehensive structural and functional assessment of internal organs. Recent innovations in data acquisition and processing can expand the clinical applications of MRI.
The Need A major limitation of MRI is slow data acquisition, which can compromise patient comfort, drive up costs, and increase susceptibility to motion. The clinical adoption of volumetric imaging for musculoskeletal and neuro applications, the growing demand for free-breathing real-time imaging …
  • College: College of Engineering (COE)
  • Inventors: Zhao, Shen; Ahmad, Rizwan; Potter, Lee
  • Licensing Officer: Randhawa, Davinder

Golden-shift Ordered Cartesian sampling (GOC) for Dynamic MRI (Free-breathing Accelerated MRI (Portfolio)
TS-062486 — Magnetic Resonance Imaging (MRI) is a versatile noninvasive imaging tool that is routinely used to evaluate many diseases and conditions. MRI offers exquisite soft tissue contrast and high spatial resolution to enable comprehensive structural and functional assessment of internal organs. Recent innovations in data acquisition and processing can expand the clinical applications of MRI.
The Need A major limitation of MRI is slow data acquisition, which can compromise patient comfort, drive up costs, and increase susceptibility to motion. The clinical adoption of volumetric imaging for musculoskeletal and neuro applications, the growing demand for free-breathing real-time imaging …
  • College: College of Engineering (COE)
  • Inventors: Ahmad, Rizwan; Jin, Ning; Liu, Yingmin; Simonetti, Orlando
  • Licensing Officer: Randhawa, Davinder

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