Available Technologies
# of Displayed Technologies: 10 / 17
Applied Category Filter (Click To Remove): Data Analysis
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
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
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
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
NMR Spectra Analysis of NMR Software
TS-062576 — Nuclear Magnetic Resonance (NMR) allows the molecular structure of a material to be analyzed by observing and measuring the interaction of nuclear spins via a powerful magnetic field. NMR can be used to determine molecular conformation in solution and physical properties at the molecular level such …
- College: Enterprise for Research, Innovation and Knowledge (ERIK)
- Inventors: Li, Da-Wei; Bruschweiler, Rafael
- Licensing Officer: Dahlman, Jason "Jay"
NMR Spectra Analysis of NMR Software
TS-062574 — Nuclear Magnetic Resonance (NMR) allows the molecular structure of a material to be analyzed by observing and measuring the interaction of nuclear spins via a powerful magnetic field. NMR can be used to determine molecular conformation in solution and physical properties at the molecular level such …
- College: College of Arts & Sciences
- Inventors: Li, Dawei "Dawei"; Bruschweiler, Rafael
- 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"
