# of Displayed Technologies: 17 / 17

Applied Category Filter (Click To Remove): Standalone/Desktop Application


Categories

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

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

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

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

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

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

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"

LabanLens™: Transforming Dance Analysis through Augmented Reality
TS-062341 — The Need: In the world of dance education and performance analysis, there is a pressing need for innovative tools that cater to diverse learning styles and intelligences. Traditional teaching methods often fall short in engaging students fully and providing a comprehensive understanding of dance mov…
  • College: College of Arts & Sciences
  • Inventors: Kosstrin, Hannah; Anderson, Ian; Kaylor, Michael; Mueller, Kurt "Kurtis"; Summers, Christopher
  • Licensing Officer: Dahlman, Jason "Jay"

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

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: Mess, David

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

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: Mess, David

Employee Skillset Solver
TS-037231 — A software system that allows companies to easily identify missing skill sets of their employees and to connect these employees to pertinent job trainings.
Human Resource (HR) departments spend millions of dollars each year training employees, but these trainings are often disconnected from performance reviews or career advancement. HR departments struggle to identify the needs of individual employees so these individual employees must often justify …
  • College: Fisher College of Business
  • Inventors: Goffe, Gretchen
  • Licensing Officer: Zinn, Ryan

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

Loading icon