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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, Aihua "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: Ashouripashaki, Mandana

Optimal Scheduling with Energy Costs
TS-063305 — Energy use is a major concern for many industrial and manufacturing companies. Given the cost of energy and the increasing importance green energy policies, it is critical that manufacturers understand how their energy usage can be performed in a way that minimizes cost and environmental impact. …
  • College: College of Engineering (COE)
  • Inventors: Posner, Marc; Hall, Nicholas
  • Licensing Officer: Hampton, Andrew

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

3DScope: Detecting 3D Model Clones
TS-057129 — Algorithm for extracting 3D models, indexing them using a value-insensitive normalization algorithm, and comparing the model indexes to detect cloned 3D models.
The unauthorized copying of 3D models robs designers of property, reduces innovation going into the creation of 3D models, creates liability for entities unknowingly using copied models, and indicates a lapse in IP security. With the vast amount of 3D assets in use, it is infeasible for humans to …
  • College: College of Engineering (COE)
  • Inventors: Zuo, Chaoshun; LIN, ZHIQIANG
  • Licensing Officer: Ashouripashaki, Mandana

Dynamic Removal of Clutter to Improve Situational Awareness in Traffic Management Systems
TS-054551 — Algorithm/software that dynamically classifies and removes clutter in systems such as the traffic management systems of Unmanned Aircraft Systems Traffic Management (UTM) and Urban Air Mobility (UAM).
The Unmanned Aerial Vehicle (UAV) market is predicted to be worth $56.18 billion by 2027. The global commercial UAV market size alone was valued at $13.44 billion in 2020, with a recorded demand of over 689,000 units. With a wide range of applications, the UAV market is expected to grow at 19.9% C…
  • College: College of Engineering (COE)
  • Inventors: Singhal, Achal
  • Licensing Officer: Zinn, Ryan

Vehicle-in-Virtual-Environment Method for Autonomous Driving System Development and Evaluation
TS-054005 — This technology is a Vehicle-in-Virtual Environment (VVE) method for testing and evaluating Autonomous Vehicles (AV). The VVE approach is a safe, reliable, repetitive, and scalable method of testing AVs, decreasing the risks and costs of testing AVs on public roads.
The demand for autonomous vehicles continues to grow as companies and cities realize the effect on the costs, safety, and efficiency that AVs have on everyday lives. Initiatives such as MCity in Detroit, Michigan, and Smart City in Columbus, Ohio, show a strong commitment to the development of aut…
  • College: College of Engineering (COE)
  • Inventors: Guvenc, Levent; Aksun Guvenc, Bilin
  • Licensing Officer: Randhawa, Davinder

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, Mageswaran "Prasath Mageswaran"
  • Licensing Officer: Hampton, Andrew

Concept Discovery from Text via Knowledge Transfer
TS-050856 — A better way for systems to organize, file, or index documents or content based on actual or anticipated information needed in the form of a user query or natural language question.
Data Processing and (IT)-related activities, ranging from web hosting to automated data entry services are more important than ever due to the large amounts of data collected through technology. According to IBIS World, "Companies will increasingly capture more data, requiring the outside exp…
  • College: College of Engineering (COE)
  • Inventors: Das, Manirupa; Fosler-Lussier, John Eric; Ramnath, Rajiv
  • Licensing Officer: Hampton, Andrew

Process Monitoring of Internal Temperature Distribution of Powder Bed Fusion Parts
TS-047605 — An ensemble kamlan filter (EnKF) state observer algorithm and process monitoring method for more quickly and accurately estimating the internal temperature gradient of Powder Bed Fusion parts for enhanced process monitoring and control.
Powder Bed Fusion (PBF) is a subset of additive manufacturing processes that performs a layer-by-layer fabrication of metal components by selectively melting metal powder disbursed over the earlier layer. PBF processes encompass methods such as selective laser sintering (SLS), direct metal laser s…
  • College: College of Engineering (COE)
  • Inventors: Wood, Nathaniel; Hoelzle, David
  • Licensing Officer: Zinn, Ryan

A Model Based Assessment Approach and an Automation Environment for Qualification of Embedded Digital Devices
TS-042856 — A Framework and Automatization process designed to determine the functionality of Embedded Digital Devices.
As our technology becomes increasingly complex, so does the quantity and variation of the Embedded Digital Device [EDD] components that are required within the project. Because not every device is made perfectly to specifications due to a propagation of random error, it is important to have a dive…
  • College: College of Engineering (COE)
  • Inventors: Smidts, Carol; Diao, Xiaoxu; Li, Boyuan
  • Licensing Officer: Hampton, Andrew

Emergency Response Tool for Industrial Facilities
TS-041844 — Artificial intelligence software for making risk-informed decisions to prevent and mitigate emergencies.
No solutions exist for predicting the likelihood of future undesirable consequences across various industrial settings. The lack of these solutions subjects personnel, the public, and the environment to potentially catastrophic consequences. Essential services such as power plants, pump stations,…
  • College: College of Engineering (COE)
  • Inventors: Yilmaz, Alper; Ajam Gard, Nima; Aldemir, Tunc; Denning, Richard; Lee, Ji Hyun
  • Licensing Officer: Zinn, Ryan

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