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: Lawson, Ryan
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: Lawson, Ryan
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
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: Lawson, Ryan
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
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 s
oft 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 s
oft 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
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/s
oftware 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
Mobile Harmful Contaminant Detection System: Home Health Kit for the detection of Allergens, Chemicals and Viruses
TS-052249 — A tool for simply and affordably assessing levels
of certain household allergens (including asthma triggers), chemical contaminants (formaldehyde) and viruses (including SARS-CoV-2).
The Need
Household allergens (including Asthma triggers)
Asthma is one of the most common chronic conditions among children in the United States and a major cause of childhood disability. Despite advances in medical treatment, many children have poor asthma control that results in disruptions in s…
- College: College
of
Engineering
(COE)
- Inventors: Dannemiller, Karen; Parquette, Jonathan; Qin, Rongjun
- Licensing Officer: Ashouripashaki, Mandana
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
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