Automated Cross-Document Table Consolidation and Visualization Platform
TS-075489 —
Organizations across healthcare, government, finance, market intelligence, and regulatory sectors routinely generate large collections of reports containing valuable tabular data. While these reports often follow consistent formats, extracting, comparing, and analyzing information across multiple …
- College: College of Engineering (COE)
- Inventors: Bajaj, Goonmeet Kaur; Parthasarathy, Srinivasan
- Licensing Officer: Giles, David
Powering Next-Generation Cryptography with Nanopore True Random Number Generation
TS-075198 — Enabling stronger, more reliable randomness for modern cybersecurity.
The Need
As digital infrastructure scales and cyber threats become more sophisticated, the integrity of cryptographic systems increasingly depends on the quality of their randomness. From encryption keys to authentication protocols, weak or predictable entropy can undermine even the most advanced s…
- College: College of Arts and Sciences (COAAS)
- Inventors: Bandara, Nuwan; Amarasekara, Dhanush; Gussenhoven, Katherine
- Licensing Officer: Panic, Ana
Adaptive Multi-User Biofeedback Ambience Control Platform
TS-074925 —
There is a growing demand for non-invasive, scalable solutions to improve mental well-being, reduce stress, and enhance productivity across diverse environments such as homes, workplaces, healthcare settings, and education. Existing approaches operate largely in isolation and fail to dynamically r…
- College: College of Engineering (COE)
- Inventors: Passino, Kevin
- Licensing Officer: Randhawa, Davinder
Ultra‑Fast 3D Real‑Time Cardiac MRI Without Gating or Binning
TS-074669 —
Current cardiac MRI workflows rely heavily on breath-holds, ECG gating, and retrospective binning, which break down in patients with arrhythmias, irregular breathing, or limited ability to cooperate. Existing 3D approaches often average away beat-to-beat variability or suffer from motion artifacts…
- College: College of Engineering (COE)
- Inventors: Ahmad, Rizwan; Arshad, Syed Murtaza; Chen, Chong; Sultan, Muhammad Ahmad
- Licensing Officer: Randhawa, Davinder
CAVA: Flexible Cartesian MRI Sampling for Real-Time Dynamic Imaging
TS-074268 —
Real-time and free-breathing MRI applications, particularly in cardiovascular imaging, require high temporal resolution to capture rapid physiological dynamics. However, optimal temporal resolution is often patient- and application-specific and may not be known before the scan. Existing Cartesian …
- College: College of Engineering (COE)
- Inventors: Ahmad, Rizwan; Jin, Ning; Liu, Yingmin; Rich, Adam; Simonetti, Orlando
- Licensing Officer: Randhawa, Davinder
Passive Joint DOA/FOA Sensing, Tracking, and Navigation with Unknown LEO Satellites
TS-073553 —
Positioning, navigation, and timing (PNT) systems increasingly seek alternatives or complements to GNSS due to vulnerability to interference, jamming, and limited performance in challenged environments. While low Earth orbit (LEO) communication satellites offer strong signals and favorable geometr…
- College: College of Engineering (COE)
- Inventors: Kassas, Zak; Kozhaya, Sharbel
- Licensing Officer: Ashouripashaki, Mandana
GNSS‑Denied LEO Navigation via Online Ephemeris Error Estimation
TS-073358 —
Reliable positioning, navigation, and timing (PNT) in GNSS‑denied or disrupted environments remains a critical challenge for defense, transportation, and autonomous systems. While low Earth orbit (LEO) communications satellites offer powerful signals and rapid geometry changes, they are typicall…
- College: College of Engineering (COE)
- Inventors: Kassas, Zak; Watchi Hayek, Samer
- Licensing Officer: Ashouripashaki, Mandana
Long-Baseline Ephemeris Error Correction for LEO-Based PNT
TS-073339 —
Positioning, navigation, and timing (PNT) resilience is increasingly critical as GNSS vulnerabilities become more apparent in contested, denied, or degraded environments. Low Earth orbit (LEO) communication satellites offer a promising alternative PNT source, but their utility is limited by poorly…
- College: College of Engineering (COE)
- Inventors: Kassas, Zak; Saroufim, Joe
- 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
Show More Technologies