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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

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

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

Low-Complexity Parallel Chien Search for Fast Error Correction
TS-071389 — The Need As data rates and storage densities continue to increase across communication and storage systems, the demand for fast, power-efficient error correction becomes more critical. Traditional Chien search architectures, used in Reed-Solomon decoders, are often computationally intensive and inef…
  • College: College of Engineering (COE)
  • Inventors: Zhang, Xinmiao; Tang, Yok Jye
  • Licensing Officer: Giles, David

Efficient Cyclic Redundancy Check Encoding with Low-Complexity LFSR Design
TS-071388 — The Need Cyclic redundancy checks (CRC) are utilized in digital communication and storage systems for error detection. Current CRC encoding and decoding methods in digital communication and storage systems are complex and require a high gate count, leading to inefficiencies in hardware design. There…
  • College: College of Engineering (COE)
  • Inventors: Zhang, Xinmiao; Cai, Jiaxuan; Tang, Yok Jye
  • Licensing Officer: Giles, 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

Broadband Piezoelectric Energy Harvester with Adaptive Frequency Tuning
TS-070970 — Many vibration-based energy harvesting systems are limited by narrow operational frequency bands, making them inefficient for environments where excitation frequencies drift, such as in bridges, machinery, or vehicles. Current solutions often sacrifice energy density to broaden bandwidth. A more e…
  • College: College of Engineering (COE)
  • Inventors: Guan, Yuqin; D'Souza, Kiran
  • Licensing Officer: Giles, David

RotorDAQ: Compact, High-Speed Data Acquisition System for Rotating Equipment
TS-069658 — The Need In both laboratory and industrial settings, obtaining accurate measurements from rotating equipment is challenging due to the limitations and high costs associated with electrical slip rings and wireless telemetry. Industries such as power transmission, gearing, turbines, and shafts requir…
  • College: College of Engineering (COE)
  • Inventors: Hong, Isaac
  • Licensing Officer: Giles, David

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