DEEP Phaser: AI Powered Automation for NMR Phase Correction
TS-073932 —
DEEP Phaser enables fully automated, expert level phase correction to improve NMR data quality, consistency, and throughput across routine and high-volume workflows.
Problem Overview
Accurate phase correction is essential for reliable NMR interpretation and quantitative analysis. Despite its impo…
- College: College of Arts & Sciences
- Inventors: Li, Da-Wei; Bruschweiler, Rafael
- Licensing Officer: Panic, Ana
MuAMO: an Intelligent Maintenance Optimization Framework for Safety-Critical Systems
TS-073254 —
Industries operating safety‑critical and asset‑intensive systems struggle to leverage the full value of disparate maintenance data sources. Current maintenance management and optimization tools operate in silos, limiting real‑time decision‑making, automation, and scalability. No existing s…
- College: College of Engineering (COE)
- Inventors: Smidts, Carol; Diao, Xiaoxu; Khafizov, Marat; Pietrykowski, Michael; Vaddi, Pavan Kumar; Zhao, Yunfei
- Licensing Officer: Giles, David
Cooperative Navigation Strategy for Safer, Smarter Urban Intersections
TS-073111 —
Urban intersections are among the highest‑risk environments for automated and human‑driven vehicles due to occlusions, complex right‑of‑way, mixed traffic, and inconsistent connectivity. On‑board perception alone often misses beyond‑line‑of‑sight actors, while centralized or game 
- College: College of Engineering (COE)
- Inventors: Khan, Rahan; Ahmed, Qadeer; Hanif, Athar
- Licensing Officer: Ashouripashaki, Mandana
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
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Open source software is foundational to modern development, yet it introduces significant security risks due to outdated dependencies and inaccurate vulnerability advisories.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
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 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: 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
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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