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Improved Semantic Text Communication in Relay Networks
TS-073844 — Current communication systems often struggle with efficiency and reliability, especially in noisy environments and varying relay positions. Traditional methods focus on exact message reconstruction, which can be resource-intensive and less effective for real-time applications. There is a growing n…
  • College: College of Engineering (COE)
  • Inventors: Arda, Enes; Kutay, Emrecan; Yener, Aylin
  • Licensing Officer: Ashouripashaki, Mandana

Semantic Codeword Generation Using Pretrained Embeddings
TS-073842 — In the era of 6G and beyond, efficient and robust communication of multimodal messages (text and images) is critical, especially in resource-constrained environments. Current methods struggle with noise robustness and codeword length, leading to inefficiencies and increased error rates. There is a…
  • College: College of Engineering (COE)
  • Inventors: Kutay, Emrecan; Yener, Aylin
  • Licensing Officer: Ashouripashaki, Mandana

Personalized Over-The-Air Federated Learning with Personalized Reconfigurable Intelligent Surfaces
TS-073841 — Current federated learning (FL) systems face significant challenges in efficiently aggregating model updates over wireless networks, especially in environments with diverse data and varying channel conditions. There is a critical need for a solution that enhances bandwidth efficiency, personalizat…
  • College: College of Engineering (COE)
  • Inventors: Mao, Jiayu; Yener, Aylin
  • Licensing Officer: Ashouripashaki, Mandana

Vehicle-in-Virtual-Environment (VVE) Method for Autonomous Driving System Development and Evaluation
TS-073818 — Autonomous and advanced driver-assistance systems require extensive testing across rare, hazardous, and edge-case scenarios to ensure safety and regulatory readiness. Existing approaches (pure simulation, hardware-in-the-loop, proving grounds, or public-road testing) each suffer from tradeoffs in …
  • College: College of Engineering (COE)
  • Inventors: Guvenc, Levent; Aksun Guvenc, Bilin
  • 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

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: Giles, David

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

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

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