Computational Design of Experiment Framework for Processing of Metal Alloys
TS-067792 — A s
oftware tool for optimizing the manufacturing process for metal alloys.
Metallic alloys are composed of a homogeneous mixture of two or more metals or of metals and nonmetal or metalloid elements to provide specific characteristics or structural properties. Alloys are used in many applications, such as aircraft, offshore drilling, automobiles, and others.
Obtaining t…
- College: College
of
Engineering
(COE)
- Inventors: Alexandrov, Boian; Forquer, Matthew; Jang, Eun; Luo, Yuxiang; Stewart, Jeffrey
- Licensing Officer: Zinn, Ryan
Optimal and Pure Leaf Classification Trees for Machine Learning (ML) Decision-Making
TS-067550 — A method to improve the performance and accuracy
of ML-based decision trees.
Decision trees are popular machine learning (ML) methods used in classification and regression problems, and they have numerous applications in the real world. Various industries use decision trees to help decide strategies, investments, and operations. In addition, they are used in healthcare to he…
- College: College
of
Engineering
(COE)
- Inventors: Allen, Theodore; Arrey, Evelyn; Booth, Matthew; Liu, Enhao; Mashayekhi, Medhi
- Licensing Officer: Zinn, Ryan
AIDRIN (AI Data Readiness Inspector)
TS-067116 — AIDRIN (AI Data Readiness INspector) is a system designed to comprehensively evaluate datasets through a diverse range
of metrics, giving an overall perspective on their readiness for AI applications.
In the contemporary digital landscape, the explosive growth in data generation has created a pressing need for efficient and scalable database systems. Traditional databases struggle with the increasing volume, variety, and velocity of data, leading to performance bottlenecks, high operational cos…
- College: College
of
Engineering
(COE)
- Inventors: Byna, Suren; Hiniduma, Kaveen
- Licensing Officer: Zinn, Ryan
Dust Analysis: A Novel Approach to Monitoring Viral Spread
TS-066962 — The Need
Viral disease surveillance (e.g. influenza, SARS-CoV-2) in high-risk settings faces several challenges, such as asymptomatic carriers, incomplete reporting, resource limitations, and delayed diagnosis of traditional swab test methods. These challenges could allow a virus to silently spread…
- College: College
of
Engineering
(COE)
- Inventors: Dannemiller, Karen; Faith, Seth; Hull, Natalie; Nastasi, Nick; Renninger, Nicole
- Licensing Officer: Ashouripashaki, Mandana
Smartphone Detection Kit for Airborne Formaldehyde and Allergens
TS-066960 — The Need
Indoor air can be polluted by various sources, including building materials, furniture, cleaning products, and even people. Exposure to these resulting contaminants and allergens can lead to a variety of health problems, such as respiratory irritation, allergies, and even cancer. It is cur…
- College: College
of
Engineering
(COE)
- Inventors: Dannemiller, Karen; Parquette, Jonathan; Qin, Rongjun
- Licensing Officer: Ashouripashaki, Mandana
Unveiling the Nanoscale: Breakthrough Analytical Speed of Real-Time Super-Resolution Microscopy and Beyond
TS-066926 — This Ohio State University s
oftware innovation
offers groundbreaking analytical speed and automation
of Single-Molecule Localization Microscopy (SMLM) as well as analysis
of 3D data and images extending beyond the field
of microscopy. Our technology
offers real-time spatial analysis in continuous and discrete space, enabling unprecedented speed and efficiency in data processing that translates into faster decision-making, high-throughput screening capabilities, and broad applicability beyond traditional microscopy.
Single-molecule localization microscopy (SMLM) describes a family of fast-evolving, powerful imaging techniques that dramatically improve spatial resolution over standard, diffraction-limited microscopy techniques and can image biological structures at the molecular scale. SMLM can now be performe…
- College: College
of
Engineering
(COE)
- Inventors: Soltisz, Andrew; Veeraraghavan, Rengasayee
- Licensing Officer: Zinn, Ryan
BDAMPER: Advanced Application Software for Dynamic Analysis and Design of Friction Damper Structures
TS-066234 —
In the realm of rotating machinery and structural engineering, the need to manage and mitigate vibrations is paramount. Excessive vibrations can lead to material fatigue, operational inefficiency, and catastrophic failures. Industries require a sophisticated, accurate, and versatile tool to design…
- College: College
of
Engineering
(COE)
- Inventors: Menq, Chia-Hsiang; Yang, Been-Der
- Licensing Officer: Zinn, Ryan
3D Object-based Segmentation-based Quantification of Spatial Protein Organization (OBS3D)
TS-066233 — Protein analysis is foundational to understanding human physiology and is helpful for basic research, diagnosis, guiding treatment, and monitoring
of human disease. There are several widely used platforms for evaluating protein function. The primary tools used in protein analysis on cells and tissues include antibody/aptamer, fluorescent detection systems, and mass spectrometry.
Colocalization analysis is the current standard technique for assessing spatial association of co‐labeled proteins in cells using multicolor immunofluorescence images. However, these tools are limited because multiple antigens nearby exhibit overlapping staining, which leads to inaccurate analys…
- College: College
of
Engineering
(COE)
- Inventors: Veeraraghavan, Rengasayee
- Licensing Officer: Zinn, Ryan
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
Automatic Mechanical Assembly Loops/Stacks Detection
TS-064578 — This s
oftware 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"
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
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