# of Displayed Technologies: 10 / 10

Applied Category Filter (Click To Remove): Computer-Aided Design, Manufacturing, etc.


Categories

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

Robotic High‑Energy Hammering for Localized Microstructure and Stress Control
TS-073070 — Manufacturers need a flexible way to improve the quality of local material regions without heavy, fixed tooling or shallow, low‑energy peening. Today’s options often deliver limited depth of improvement, struggle on complex shapes, and can overload robots or require rework. A practical solutio…
  • College: College of Engineering (COE)
  • Inventors: Daehn, Glenn
  • Licensing Officer: Ashouripashaki, Mandana

Image-Guided Incremental Bending of Orthopedic Fixation Plates for Personalized Fit
TS-073051 — Surgeons routinely hand‑bend standard titanium or stainless‑steel fixation plates to conform to patient anatomy, a manual process that is time‑consuming, inconsistent, and prone to gaps, reversed bends, and unfavorable residual stress. Each of these factors can compromise fixation and outcom…
  • College: College of Engineering (COE)
  • Inventors: Daehn, Glenn
  • Licensing Officer: Ashouripashaki, Mandana

Risk‑Informed Markov Decision Framework for Industrial Asset Management
TS-073031 — Operators of large, complex facilities struggle to balance revenue, maintenance, and regulatory safety constraints under uncertainty. Existing tools typically optimize only a subset of factors without a unified, real‑time view of component health and future degradation. Advanced reactors and oth…
  • College: College of Engineering (COE)
  • Inventors: Zhao, Yunfei; Smidts, Carol
  • Licensing Officer: Giles, David

BLIPS: Deductive Early‑Stage Failure Analysis for Complex Systems
TS-072984 — Complex systems are entering the market faster while safety verification grows harder, especially when detailed designs or operational data don’t yet exist. Traditional tools (FMEA, FTA, PRA) either require finalized designs, focus on forward propagation, or struggle with partial failures and fu…
  • College: College of Engineering (COE)
  • Inventors: Mansoor, Ali; Diao, Xiaoxu; Smidts, Carol
  • Licensing Officer: Mess, David

Hybrid Additive Manufacturing with Magnetic Field and Multi-Material Deposition for Advanced Metal Components
TS-072941 — Current additive manufacturing (AM) methods for high-performance alloys, such as Inconel 718, face significant challenges: poor control over microstructure, high porosity, and limited resistance to harsh environments (e.g., high temperature, hydrogen attack). These issues lead to premature failure…
  • College: College of Engineering (COE)
  • Inventors: Wolff, Sarah
  • Licensing Officer: Ashouripashaki, Mandana

Propagation-Based Fault Detection and Sensor Optimization for Complex Industrial Systems
TS-072175 — The Need Modern industrial and energy systems are increasingly complex, making timely fault detection and discrimination critical for safety, reliability, and cost control. Existing fault diagnosis methods often struggle with transient states, require extensive historical data, or lack interpretabil…
  • College: College of Engineering (COE)
  • Inventors: Smidts, Carol; Diao, Xiaoxu; Li, Boyuan
  • Licensing Officer: Giles, David

Efficient Machine Learning Prediction of Solvation Thermodynamics
TS-071267 — The Need Modeling solvent effects on catalytic surfaces is critical for designing industrial processes like biomass conversion, fuel synthesis, and electrocatalysis. Traditional multiscale simulations combining density functional theory (DFT) and molecular dynamics (MD) offer accuracy but are comp…
  • College: College of Engineering (COE)
  • Inventors: Getman, Rachel; Punyapu, Rohit; Shi, Jiexin
  • Licensing Officer: Randhawa, Davinder

Automatic Mechanical Assembly Loops/Stacks Detection
TS-064578 — 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.
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

In situ damage free etching of Ga2O3 using Ga flux for fabricating high aspect ratio 3D structures
TS-062975 — With a high theoretical breakdown field strength, β-Ga2O3 has the potential to be useful in power switching and high frequency power amplifying devices. For any device technology to be competitive, damage free etching techniques are necessary. All current dry etching recipes in β-Ga2O3 h…
  • College: College of Engineering (COE)
  • Inventors: Rajan, Siddharth; Fiedler, Andreas; Kalarickal, Nidhin Kurian
  • Licensing Officer: Zinn, Ryan

Loading icon