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
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Open source software is foundational to modern development, yet it introduces significant security risks due to outdated dependencies and inaccurate vulnerability advisories.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
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
Automatic Mechanical Assembly Loops/Stacks Detection
TS-064578 — This software solution revolutionizes the process of tolerance stack analysis in mechanical assemb
lies. It au
tomatically detects and extracts tolerance stacks as the foundational step for precise tolerance analysis and schema generation.
This software solution revolutionizes the process of tolerance stack analysis in mechanical assemblies. It automatically detects and extracts tolerance stacks as the foundational step for precise tolerance analysis and schema generation.
The Need
Analyzing tolerance stacks in mechanical assembl…
- College: College of Engineering (COE)
- Inventors: Haghighi, Payam; Shah, Jami
- Licensing Officer: Randhawa, Davinder
Vulnerability and Attackability analysis of automotive controllers using structural model of the system
TS-063239 — The Ohio State University has developed a vulnerability analysis technique for connected and autonomous vehicles that assesses the vulnerability and attackability of the automotive controllers to determine the security of the system.
The Need
Automated vehicle technologies improve safety, assis…
- College: College of Engineering (COE)
- Inventors: Renganathan, Vishnu; Ahmed, Qadeer
- Licensing Officer: Ashouripashaki, Mandana
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
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