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Advancing Genomic Research: Introducing EDTA - A Comprehensive Solution for Transposable Element Annotation
TS-065835 — The Need: In the realm of genomic research, the ability to accurately annotate transposable elements (TEs) within large, repetitive genomes is paramount. Existing methods for TE annotation lack systematic comparison, leaving a gap for a comprehensive pipeline to generate non-redundant TE libraries f…
  • College: College of Arts & Sciences
  • Inventors: Ou, Shujun
  • Licensing Officer: Dahlman, Jason "Jay"

Secure Your Digital Fortress: Revolutionizing Cybersecurity with Next-Gen PUF Technology
TS-065412 — The Need: In contemporary cybersecurity landscapes, the conventional methods of employing Physically Unclonable Functions (PUFs) necessitate maintaining a secure challenge-response database. However, this practice poses significant security risks as access to this database could lead to the comprom…
  • College: College of Arts & Sciences
  • Inventors: Gauthier, Daniel
  • Licensing Officer: Dahlman, Jason "Jay"

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

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

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: Zinn, 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: Mess, David

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

Revolutionizing Metabolite Identification with COLMAR 13C–1H HSQC Database
TS-062345 — The Need: Metabolite identification is a critical challenge in the fields of biochemistry, pharmaceuticals, and life sciences. Researchers often deal with complex mixtures of metabolites, making it difficult to accurately identify and analyze specific compounds. Existing web servers for metabolite i…
  • College: College of Arts & Sciences
  • Inventors: Bruschweiler, Rafael; Li, Dawei "Dawei"
  • Licensing Officer: Dahlman, Jason "Jay"

Visual Function Mapping Technology: Enhancing Vision Care and Diagnostics
TS-062335 — The Need: In the field of ophthalmology and vision care, there is a critical need for accurate and comprehensive measurements of visual function over the entire visual field. Conditions such as glaucoma, age-related macular degeneration (AMD), diabetes, stroke, pituitary disease, brain tumors, and n…
  • College: College of Arts & Sciences
  • Inventors: Lu, Zhong-Lin; Lesmes, Luis; Xu, Pengjing "PJ"; Yu, Deyue
  • Licensing Officer: Dahlman, Jason "Jay"

Graduate Education Management
TS-062332 — The Need: In the fast-paced and ever-evolving landscape of graduate education, universities and academic institutions face mounting challenges in efficiently managing their graduate students' academic journeys. With diverse departmental requirements, it becomes crucial to have a centralized solu…
  • College: College of Arts & Sciences
  • Inventors: Hardesty, Michael; Box-Steffensmeier, Janet; Carl, Tammy; Decot, Kyle; Freeman, Elizabeth; Griffin, Kathleen; Hurst, Nicholas "Nick"; Kerler, Thomas; Leaflight, Ren; Malone, Kelly "Kelly Renee Hopkins"; Papke, Julia; Plas, Rebecca "Becky"; Schweinfurth, Staci; Smith, Timothy; Van Dyke, Lisa
  • Licensing Officer: Dahlman, Jason "Jay"

SUMMIT MS/NMR: A Combined MS/NMR Strategy for the Rapid Identification of New Metabolites in Complex Mixtures
TS-062324 — The Need Metabolomics researchers face a critical challenge in identifying unknown components within complex metabolite mixtures. The absence of efficient and accurate methods hampers their ability to discover new metabolites in biological and biomedical samples. Existing technologies, such as expe…
  • College: College of Arts & Sciences
  • Inventors: Bruschweiler, Rafael; Bingol, Ahmet
  • Licensing Officer: Dahlman, Jason "Jay"

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: Zinn, Ryan

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, Prasath Mageswaran
  • Licensing Officer: Hampton, Andrew

Finding rare events by knowing where NOT to look
TS-051417 — Traditional regression analysis has been a staple in predicting cause-effect relationships. Counltess industries use these methods to predict rare events, from economic issues to cancer research, causality is often a desired result. Given the vast amount of potential variables it sometimes becomes…
  • College: College of Arts & Sciences
  • Inventors: Melamed, David; Schoon, Eric
  • 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, 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

Learning Optimal Empirical Reward iNtelligence (LOERN) with Cyber Maintenance Applications
TS-040341 — A software solution designed to optimize cyber security decision making and reduce maintenance costs.
As the world becomes more and more connected, our systems become more and more vulnerable. If cyber security can become more automated, risk-based decisions can be made more quickly and rationally. Organizations can then leverage this decision-making to improve their security without increasing co…
  • College: College of Engineering (COE)
  • Inventors: Allen, Theodore; Hou, Chengjun
  • Licensing Officer: Zinn, Ryan

Matchmaking app for university research personnel, trainees, equipment, and funding opportunities.
TS-040259 — A matchmaking app designed for university research personnel, trainees, equipment, and funding opportunities.
To connect people, resources, and events within a university, individuals create informative materials, such as websites, videos, and flyers. All of these are passive means of outreach require active engagement from individuals on campus. In addition, materials provided for outreach are typically …
  • College: Office of Academic Affairs
  • Inventors: Hiremath, Kedar
  • Licensing Officer: Dahlman, Jason "Jay"

Transportation Asset Management Program
TS-039992 — Transportation Asset Management Program offers a unique bridge condition index (BCI) and management solution for large bridge inventories to be used as a reliable metric and asset management framework
Transportation infrastructure depends on a robust and well-maintained system of bridges. In the U.S., federal law requires that bridges be inspected once every two years. Some states, including Ohio, require bridges to be inspected every year. One problem with these inspections is that for several…
  • College: College of Engineering (COE)
  • Inventors: Shafieezadeh, Abdollah; Fereshtehnejad, SeyedEhsan "Ehsan"; Hur, Jieun
  • Licensing Officer: Zinn, Ryan

Virtual image generation of immunohistochemical stained tissue sections using an artificial neural network
TS-039781 — Realistic immunohistochemical stained tissue section databases for training, certification, and machine standards.
Immunohistochemistry (IHC) is used to determine antigen distribution in a tissue and is widely used for diagnosis of cancers and other diseases. Diagnostic and research laboratories in the United States use locally devised IHC tissue slide preparation and scanning protocols to check scanner perfor…
  • College: College of Medicine (COM)
  • Inventors: Gurcan, Metin; Lozanski, Gerard; Senaras, Caglar
  • Licensing Officer: Hampton, Andrew

Design and apparatus for quantification of the mapping of the sensory areas of the brain
TS-039164 — A new tool that can quantify the sensory maps of the human brain. The tool can be used to quantify plasticity and pathology in the sensory areas of the human brain that are associated with normal and abnormal development, aging, and diseases in sensory systems. The first application of the tool, on retinotopic maps of the visual cortex, has generated excellent results.
By analyzing the stimulus­-referred fMRI responses in each voxel of an MR image, retinotopic mapping of human visual cortex can generate cortical maps of the visual space. These maps elucidate the spatial organization of the neuronal responses to visual images. Although numerous studies have b…
  • College: College of Arts & Sciences
  • Inventors: Wang, Yalin; Lu, Zhong-Lin
  • Licensing Officer: Dahlman, Jason "Jay"

DG-WAVE: A Discontinuous Galerkin (DG) Finite Element-Based Wave Model
TS-039058 — DG­WAVE is a simple and efficient (finite element­-based) wave modeling software package for simulating wind-driven waves in marine environments. Model input, execution and visualization of output, which includes time series of significant wave heights, are handled through an easy-­to-­use graphical user interface (GUI).
There are many applications that require studying wind-driven waves in marine environments. Modeling waves is a necessary tool to study these specific results, because a model allows for the researcher to be in a different location from the body of water, as well as control all of the potential va…
  • College: College of Engineering (COE)
  • Inventors: Kubatko, Ethan; Nappi, Angela; West, Dustin
  • Licensing Officer: Zinn, Ryan

Conforming to Interface Structured Adaptive Mesh Refinement (CISAMR)
TS-039030 — The Conforming to Interface Structured Adaptive Mesh Refinement (CISAMR) automated modeling technique creates high quality periodic meshes for modeling materials with complex microstructures.
Development of models for materials with complex microstructures is time consuming and expensive. Also, different commercial modeling software tools have various standards, which makes importing and exporting between modeling systems problematic and difficult. Dr. Soheil Soghrati at The Ohio St…
  • College: College of Engineering (COE)
  • Inventors: Soghrati, Soheil
  • Licensing Officer: Zinn, Ryan

At-Home Digital Platform for Scoring Skin Disease
TS-038429 — An automated image analysis system for the recognition and quantification of skin disease
Acne and rosacea are skin diseases that affect around 85% of individuals, the former being the most common skin condition afflicting up to 50 million people. There is no gold standard for evaluation of these skin diseases, and their treatment efficacy is generally determined according to a poorly …
  • College: College of Medicine (COM)
  • Inventors: Kaffenberger, Benjamin; Gurcan, Metin
  • Licensing Officer: He, Panqing

DIAMOND
TS-037930 — Data-Driven Inspection, Alerts, Maintenance, Observable Network Decision Control System with Cyber Action Taker to Address Less Inspected Hosts Including Cell Phones
Cyber security is an important facet of many major corporations and government entities. The implementation of effective cyber security protocols is an arduous process because the most targeted individuals, C-suite and boardroom level personnel, understand the protocols the least. A lack of adhere…
  • College: College of Engineering (COE)
  • Inventors: Allen, Theodore; RoyChowdhury, Sayak
  • Licensing Officer: Zinn, Ryan

Turf Whisperer: Location Selective Data Delivery via Low-Power Acoustic Transmissions
TS-037839 — A way to use audio systems to send information to select locations and people, without the public hearing it.
With the advent of digital communications platforms such as mobile devices, information is able is to be disseminated almost instantly, to anywhere in the world. However, some aspects of modern infrastructure have not caught up to the information age, with facilities such as supermarkets and airpo…
  • College: College of Engineering (COE)
  • Inventors: Koksal, C. Emre; Indukuri, Harihara Varma
  • Licensing Officer: Hampton, Andrew

Remote Sensing Image Processing Algorithm for Assessing Plant Population at Emergence
TS-036544 — An algorithm that processes aerial images to provide farmers with data on crop emergence needed for improving crop management decisions.
The Need: In today's agriculture industry, the ability to make timely and informed crop management decisions is crucial for maximizing crop yield and profitability. However, the traditional methods of manual scouting and assessment are time-consuming and may not cover large areas effectively. T…
  • College: College of Food, Agricultural, and Environmental Sciences (CFAES)
  • Inventors: Wolters, Dustin; Leonard, James; See, David; Shearer, Scott
  • Licensing Officer: Dahlman, Jason "Jay"

Subject Matter Expert Refined Topic Models
TS-015175 — Human-Assisted Modeling (HAM), Subject Matter Expert Refined Models (SMERM), and Subject Matter Expert Refined Topic (SMERT) Models.
Currently, unstructured data represents up to 80% of the data within an organization. This means the traditional data, such as sales figures or other statistics, are separated into different documents without a meaningful and effective way to aggregate the data. Due to this there is now an opportu…
  • College: College of Engineering (COE)
  • Inventors: Allen, Theodore; Xiong, Hui
  • Licensing Officer: Zinn, Ryan

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