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
Unlocking Hidden Opportunities: The Power of Multi-Solution Spatial Aggregation
TS-067434 — The Need
Spatial aggregation is crucial in numerous industries where data from low-level spatial units, such as census blocks, must be grouped into larger, meaningful regions. Traditional approaches often struggle with the computational complexity of these tasks and tend to focus on finding a singl…
- College: College of Arts & Sciences
- Inventors: Xiao, Ningchuan
- Licensing Officer: Dahlman, Jason "Jay"
FARMS: Streamlining Farm Transition Planning for a Secure Future
TS-067290 —
Farm transition planning is a critical yet complex process for producers, often hindered by the challenge of collecting and organizing asset information. Without a clear understanding of what assets are owned, their value, and how they are titled, farm transition planning becomes a guessing game r…
- College: College of Food, Agricultural, and Environmental Sciences (CFAES)
- Inventors: Moore, Robert; Marrison, David
- Licensing Officer: Panic, Ana
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 software 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
Revolutionizing Literacy Instruction with LetterWorks: Bridging Tradition and Technology
TS-065840 — The Need
Incorporating Information and Communication Technologies (ICTs) into literacy instruction is imperative, especially for at-risk populations, yet research in this area remains limited. The demand for effective tools to enhance literacy learning among struggling readers is critical. Teachers…
- College: College of Education & Human Ecology
- Inventors: Rodgers, Emily; D'Agostino, Jerome
- Licensing Officer: Dahlman, Jason "Jay"
CENT: Empowering Effective Partnerships
TS-065828 — The Need
In today's interconnected world, stakeholder organizations face the challenge of navigating complex networks to address shared issues effectively. Whether it's climate change adaptation, healthcare management, or community development, the ability to identify and foster partnership…
- College: College of Food, Agricultural, and Environmental Sciences (CFAES)
- Inventors: Fried, Harrison; Ordonez, Kimberly
- Licensing Officer: Dahlman, Jason "Jay"
IDEAS: Revolutionizing Early Childhood Education with Automated Interaction Analysis
TS-065825 — The Need: In early childhood education settings, understanding children's interactions, both social and linguistic, is paramount for effective teaching and development monitoring. However, manual observation and analysis of these interactions can be time-consuming and subjective, hindering educa…
- College: College of Education & Human Ecology
- Inventors: Gonzalez Villasanti, Hugo "Hugo"; Justice, Laura
- Licensing Officer: Dahlman, Jason "Jay"
Clearinghouse for Evidence-based Programs and Practices for School and School District Improvement
TS-065824 — The Need: In today's educational landscape, the demand for evidence-based practices to enhance student outcomes is paramount. Educators seek efficient, accessible resources aligned with federal guidelines to drive improvement efforts effectively. However, navigating through the plethora of infor…
- College: John Glenn College of Public Affairs
- Inventors: Joyce, Erin; Knighton, Ryan; Maurer, Julie; Porter, Lauren
- Licensing Officer: Dahlman, Jason "Jay"
RocketTechs: Igniting Entrepreneurial Ventures
TS-065823 — The Need: In today's rapidly evolving technological landscape, bridging the gap between innovative university technologies and entrepreneurial leaders is paramount. However, existing platforms often lack the efficiency and user-friendliness required for effective matchmaking. RocketTechs address…
- College: Office of Business and Finance
- Inventors: Morowit, Lauren; Turnbull, Cheryl
- Licensing Officer: Dahlman, Jason "Jay"
Student Success Dashboard: Transforming Education Through Data-Driven Support
TS-065820 — Ohio Student Success Dashboard: Revolutionizing Student Support
The Need: Ohio and the national economy are undergoing a transformative shift, where traditional high school education no longer guarantees success in the job market. With nearly 60% of jobs requiring additional training beyond a high …
- College: College of Education & Human Ecology
- Inventors: Hawley, Joshua
- Licensing Officer: Dahlman, Jason "Jay"
Streamline Your Building Design Workflow with AutoCAD to Revit Conversion Technology
TS-065818 — The Need
In the architecture, engineering, and construction (AEC) industry, the need for seamless and efficient conversion of AutoCAD drawings to Revit models is paramount. As projects grow in complexity and scale, the ability to transition seamlessly between these platforms becomes essential for m…
- College: Senior VP Admin & Planning
- Inventors: Porostosky, Joseph; Palmer, Tracy; Pifher, David
- Licensing Officer: Dahlman, Jason "Jay"
MyMoneyPath: Empowering Financial Wellness for All
TS-065816 — The Need: In today's fast-paced financial landscape, individuals often lack accessible and personalized tools to assess and improve their financial well-being. Many low and moderate-income populations, particularly first-time homebuyers, face unique challenges in navigating financial decisions. …
- College: Office of Academic Affairs
- Inventors: Moulton, Stephanie; Collins, J.; Loibl, Caezilia; Savikhin, Anya
- Licensing Officer: Dahlman, Jason "Jay"
Quantum Leap: Revolutionizing Computing and Sensing with Modular Zero-Dimensional Tunnel Junction Devices
TS-065414 — The Need:
Innovations in the field of quantum technology are paramount to addressing the escalating demand for advanced computational capabilities and sensitive sensor applications. As traditional computing methodologies reach their limits, there arises an urgent commercial need for breakthroughs i…
- College: College of Arts & Sciences
- Inventors: Johnston-Halperin, Ezekiel; Gupta, Jay; Hamilton, Morgan; Kavand, Marzieh; Koll, Will; Perez-Hoyos, Ethel; Phillips, Zoe
- 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"
Semi-automatic extraction of georeferenced building data from historic Sanborn Fire Atlas maps
TS-064831 — The Need: Urban historians, city planners, and preservationists require efficient tools to extract building-level information from historic Sanborn Fire Insurance maps, essential for understanding urban development over time. However, manual extraction is time-consuming and impractical due to the sh…
- College: College of Arts & Sciences
- Inventors: Miller, Harvey; Li, Jialin; Lin, Yue; Logan, Gerika; Porr, Adam; Xiao, Ningchuan
- 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
KineScribe, an iPad app for Laban movement notations.
TS-064260 — The Need: Dance researchers, educators, choreographers, and movement practitioners face the challenge of accessing and editing Laban movement notation scores on modern, portable devices. With the discontinuation of LabanWriter, the industry lacked a touch-screen application tailored to the latest te…
- College: College of Arts & Sciences
- Inventors: Kosstrin, Hannah; Summers, Christopher
- Licensing Officer: Dahlman, Jason "Jay"
"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
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