A Novel Machine Learning Approach for Classification at the Network Edge
TS-073225 —
In today's world, we are increasingly using low-cost devices with limited resources (often referred to as "edge devices") which are supported by connected high-performance servers. However, these edge devices often can't handle complex tasks such as classifying data. To make this possible, we need…
- College: College
of
Engineering
(COE)
- Inventors: Li, Chengzhang; Eryilmaz, Atilla; Ju, Peizhong; Shroff, Ness
- Licensing Officer: Giles, David
DPRA: Dynamic Probabilistic Risk Assessment for Cyber Security Risk Analysis
TS-073146 —
As industrial systems become increasingly digital and interconnected, traditional risk assessment tools struggle to capture how cyber threats interact with physical processes in real time. Existing methods typically assess hardware failures or isolated cyber events, but they cannot model how attac…
- College: College
of
Engineering
(COE)
- Inventors: Smidts, Carol; Diao, Xiaoxu; Vaddi, Pavan Kumar; Zhao, Yunfei
- Licensing Officer: Giles, David
Model-Based, Multi-Criteria Optimization for Sensor Placement and Selection
TS-073138 —
Designing online monitoring (OLM) for safety‑critical systems is constrained by scarce early‑stage operational data and by quantitative models that are slow to build, brittle across configurations, and costly to iterate. This creates expensive sensor networks with blind spots, poor diagnosabil…
- College: College
of
Engineering
(COE)
- Inventors: Smidts, Carol; Diao, Xiaoxu; Olatubosun, Samuel; Rownak, Md Ragib; Vaddi, Pavan Kumar
- Licensing Officer: Giles, David
Immersive VR Platform for Human Reliability Assessment for Physical Security
TS-073103 —
Physical protection remains a major driver of nuclear plant operations and maintenance costs, yet current security risk models rely on conservative assumptions and sparse empirical data on how defenders and operators actually behave under extreme threat. They rarely capture errors of commission, k…
- College: College
of
Engineering
(COE)
- Inventors: Smidts, Carol; Dechasuravanit, Atitarn; Diao, Xiaoxu; Olatubosun, Samuel; Rownak, Md Ragib; Shafieezadeh, Abdollah; Yilmaz, Alper; Zhao, Yunfei
- Licensing Officer: Giles, David
AI-Powered Smart Home System for Visual Organization Task Automation
TS-071692 — The Need
Modern smart home systems often lack contextual awareness and actionable intelligence, limiting their usefulness in daily home management. Consumers are seeking more intuitive, proactive solutions that go beyond simple automation to offer real-time insights, task generation, and physical in…
- College: College
of
Engineering
(COE)
- Inventors: Wisniewski, Dan; Cazares, Richard; Schneller, Aspen; Starrett, Sean; Terveer, Michael
- Licensing Officer: Sharick, Joe
SPARKLE: Machine Learning Platform for Rapid Organic Battery Material Discovery
TS-071386 — The Need
The search for sustainable, high-performance battery materials is hindered by reliance on finite metal-based resources and slow, trial-and-error development cycles. Organic electrode materials (OEMs), composed of earth-abundant elements, offer a more sustainable path but present challenges …
- College: College
of
Engineering
(COE)
- Inventors: Paulson, Joel; Muthyala, Madhav; Park, Jay; Sorourifar, Farshud; Zhang, Shiyu
- Licensing Officer: Mess, David
VerDiff: Automated Vulnerability Version Detection for Open Source Security
TS-071385 — The Need
Open source software is foundational to modern development, yet it introduces significant security risks due to outdated dependencies and inaccurate vulnerability advisories. Public databases often fail to identify all affected versions of software, leaving organizations exposed. With vulne…
- College: College
of
Engineering
(COE)
- Inventors: Anwar, Md Sakib; Lin, Zhiqiang; Yagemann, Carter
- Licensing Officer: Mess, David
A Generalized Mistuning Model for Bladed Disk Systems
TS-070971 — The Need
Modern gas turbines and compressors rely on bladed disks, which are highly sensitive to mistuning caused by manufacturing tolerances, wear, or damage. Existing modeling tools are fragmented, complex, and often limited to specific mistuning types. Industry will greatly benefit from a unified…
- College: College
of
Engineering
(COE)
- Inventors: D'Souza, Kiran; Krizak, Troy
- Licensing Officer: Giles, David
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: Giles, David
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 "Ted"; Rodriguezbuno, Ramiro; Zhang, Yifei
- Licensing Officer: Giles, David
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: Ashouripashaki, Mandana
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
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: Giles, David
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: Panic, Ana
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; Athreya, Kannan
- Licensing Officer: Randhawa, Davinder
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
Thermotropic liquid crystal-based sensors for naked-eye detection of SARS-CoV-2 with ultrahigh sensitivity and selectivity
TS-063069 —
In the wake of the global pandemic caused by SARS-CoV-2, the need for rapid, accurate, and efficient diagnostic methods for respiratory viral infections has become more critical than ever. Traditional diagnostic methods, while reliable, are often time-consuming, labor-intensive, and lack the neces…
- College: College
of
Engineering
(COE)
- Inventors: Wang, Xiaoguang "William"; Qin, Rongjun; Rather, Adil; Xu, Yang
- Licensing Officer: Randhawa, Davinder
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
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
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
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: Giles, David
Point Prognostics: Closed Loop Particle Forecasting Platform for Decision Support and System Prognostics
TS-049903 — A scalable, adaptive computational platform (s
oftware) that performs accurate, predictive computer simulations in less time, with the end goal
of supporting a decision-making agency
A report by IOT Analytics evaluated the predictive maintenance (PdM) market at $1.5 billion in 2016 and anticipated a growth of 39% annually to $10.96 billion by 2022. Particle methods (broadly known as "Monte Carlo'' methods, or, MC) are a class of computational algorithms used in Pd…
- College: College
of
Engineering
(COE)
- Inventors: Kumar, Mrinal; Yang, Chao "Chao"
- Licensing Officer: Zinn, Ryan
Process Monitoring of Internal Temperature Distribution of Powder Bed Fusion Parts
TS-047605 — An ensemble kamlan filter (EnKF) state observer algorithm and process monitoring method for more quickly and accurately estimating the internal temperature gradient
of Powder Bed Fusion parts for enhanced process monitoring and control.
Powder Bed Fusion (PBF) is a subset of additive manufacturing processes that performs a layer-by-layer fabrication of metal components by selectively melting metal powder disbursed over the earlier layer. PBF processes encompass methods such as selective laser sintering (SLS), direct metal laser s…
- College: College
of
Engineering
(COE)
- Inventors: Wood, Nathaniel; Hoelzle, David
- Licensing Officer: Zinn, Ryan
Louie: An Augmented Reality Sensory Trigger Wayfinding System for People with Autism
TS-043077 — An Augmented Reality Sensory Trigger Wayfinding System for People with Autism
Millions of people on the Autism spectrum face challenges getting from place to place due to sensory sensitivities to sounds, sights, smells, tastes, physical feelings, and crowds. Due to these triggers, people with Autism have a strong need to know where they are going and what will be there so t…
- College: College
of
Engineering
(COE)
- Inventors: Ezell, Jonathan; Kaufman, Robert; Kaufman, Michael
- Licensing Officer: Randhawa, Davinder
DG-WAVE: A Discontinuous Galerkin (DG) Finite Element-Based Wave Model
TS-039058 — DGWAVE is a simple and efficient (finite element-based) wave modeling s
oftware 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
DV8: The Spatial-Temporal Interactive Air Traffic Performance Visualization and Analysis Tool
TS-037833 — Optimization
of air traffic infrastructure through efficient flight routing - reduces fuel cost, avoids adverse weather, improves "on-time" flight performance metrics.
America's air traffic control infrastructure has not been updated in decades and lags behind the rest of world. In lieu of a complete rebuild using GPS and digital messaging, other upgrades could be made to optimize the efficiency of flight routing. These types of upgrades would be software ba…
- College: College
of
Engineering
(COE)
- Inventors: Young, Seth; Meyer, Nicholas; Nandi, Arnab
- 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 "Ted"; Xiong, Hui
- Licensing Officer: Zinn, Ryan