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NanoPlex: Rapid, Memory-Efficient Nanopore Data Solutions for Modern Labs
TS-070331 — Accelerate discovery and streamline workflows with a next-generation platform for high-throughput nanopore data extraction.
Overview Nanopore sensing is revolutionizing genomics, proteomics, and diagnostics, but the explosive growth in data volume has outpaced the capabilities of current analysis tools. Researchers often face bottlenecks due to slow processing speeds, memory limitations, and the need for specialized …
  • College: College of Arts & Sciences
  • Inventors: Bandara, Nuwan
  • Licensing Officer: Panic, Ana

Precision Soil Health: The Key to Sustainable, High-Yield Farming
TS-070310 — An integrated soil health assessment and management platform that empowers growers to boost yields and sustainability through data-driven decisions.
Soil health is the cornerstone of sustainable agriculture, yet traditional management often overlooks the complex interactions that drive crop performance and environmental outcomes. Many growers struggle to optimize yields and reduce input costs due to limited, fragmented soil data. This techno…
  • College: College of Food, Agricultural, and Environmental Sciences (CFAES)
  • Inventors: Dick, Richard; Renz, Peter
  • Licensing Officer: Panic, Ana

GPS Independent Lane Level Vehicle Localization
TS-069654 — Technology bundle containing T2025-148 and T2024-150.
The Need Reliable vehicle localization is critical for autonomous and human-driven vehicles, especially in GPS-denied environments such as dense urban areas, tunnels, and off-road farms and construction sites. Current localization methods relying solely on GPS are prone to signal loss and inaccurac…
  • College: College of Engineering (COE)
  • Inventors: Javed, Nur Uddin; Ahmed, Qadeer
  • Licensing Officer: Ashouripashaki, Mandana

Motion-Guided Deep Image Prior (M-DIP) for Dynamic Image Reconstruction in Cardiovascular MRI
TS-069527 — The Need Cardiovascular MRI (CMR) data acquisition is often time-consuming and relies on complex reconstruction methods that do not fully exploit the spatial and temporal structure of CMR data. There is a need for a more efficient, unsupervised approach that can accelerate CMR imaging while maintai…
  • College: College of Engineering (COE)
  • Inventors: Ahmad, Rizwan; Chen, Chong; Sultan, Muhammad
  • Licensing Officer: Randhawa, Davinder

SyMANTIC – Novel Symbolic Regression to Discover Accurate Models from Data
TS-069523 — The Need In many scientific and industrial fields, there is a critical need for interpretable and accurate models that can be derived from complex datasets. Traditional machine learning methods often produce black-box models that lack transparency and interpretability, making it difficult to unders…
  • College: College of Engineering (COE)
  • Inventors: Muthyala, Madhav Reddy; Paulson, Joel; Sorourifar, Farshud
  • Licensing Officer: Randhawa, Davinder

Joint Activity Testing (JAT): A Testing & Evaluation Methodology for Human-Machine Teams
TS-068443 — In high-stakes industries, the integration of humans and advanced automation systems demands evaluation methods that reliably predict performance under varying challenges. Current testing methods often focus on individual components, failing to assess how human-machine teams operate as a unit, par…
  • College: College of Engineering (COE)
  • Inventors: Morey, Dane; Rayo, Michael
  • Licensing Officer: Zinn, Ryan

Vision System Using MDP-Based Tracking for Automated Dimensional Analysis
TS-068440 — Accurate measurement of physical attributes, such as dimensions, alignments, and surface features, is essential for ensuring quality and consistency across industries. Traditional measurement methods, often reliant on manual tools and human oversight, are time-intensive, prone to errors, and lac…
  • College: College of Engineering (COE)
  • Inventors: Allen, Theodore; Rodriguezbuno, Ramiro; Zhang, Yifei
  • Licensing Officer: Zinn, Ryan

Computational Design of Experiment Framework for Processing of Metal Alloys
TS-067792 — A software 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

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"

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"

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"

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