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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: Mess, David

Two‑Reactor Chemical Looping for High‑Yield, Low‑Carbon Hydrogen Production
TS-073219 — Global demand for low‑carbon hydrogen is rising, yet current methods carry efficiency penalties, complex gas clean‑up, and cost and footprint burdens. These drawbacks are amplified when upgrading dilute or variable‑quality feedstocks such as biogas and waste‑derived fuels. Industry needs a…
  • College: College of Engineering (COE)
  • Inventors: Fan, Liang-Shih; Zhang, Qiaochu
  • Licensing Officer: Ashouripashaki, Mandana

Multi‑Constellation Blind Beacon Estimation and Doppler Tracking for LEO‑Based PNT
TS-073212 — Reliable positioning, navigation, and timing (PNT) increasingly depends on access to resilient, high‑integrity signals. Traditional GNSS systems face vulnerabilities, including signal blockage, jamming, spoofing, and limited geometric diversity. Meanwhile, emerging low Earth orbit (LEO) megacons…
  • College: College of Engineering (COE)
  • Inventors: Kassas, Zak; Kanj, Haitham; Kozhaya, Sharbel
  • Licensing Officer: Ashouripashaki, Mandana

Hybrid Membrane–Adsorption Process for Efficient Direct Air Capture
TS-073184 — Direct air capture (DAC) technologies are essential for meeting global carbon‑reduction goals, yet most current systems remain limited by high energy demand, high cost, and materials with insufficient stability. Traditional solid‑sorbent DAC approaches require significant thermal input for reg…
  • College: College of Engineering (COE)
  • Inventors: Ho, W.S. Winston; Han, Yang; Huang, Yi-Chen
  • Licensing Officer: Ashouripashaki, Mandana

Cognitive Opportunistic Navigation Using Unknown Reference Signals
TS-073173 — Modern navigation systems increasingly rely on signals of opportunity such as 5G and LEO satellite downlinks, but these signals often lack public reference‑signal specifications, may be dynamic or on‑demand, and can suffer from severe Doppler effects. Conventional receivers cannot reliably acq…
  • College: College of Engineering (COE)
  • Inventors: Kassas, Zak; Neinavaie, Mohammad
  • Licensing Officer: Ashouripashaki, Mandana

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

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

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

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

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