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Full-Spectrum Real-Time Nonlinear RF Device Measurement Platform
TS-074717 — Advanced RF and microwave devices increasingly operate under highly dynamic, pulsed, and modulated conditions that expose complex transient behavior. Existing nonlinear measurement tools are largely optimized for steady-state or strictly repetitive signals, limiting insight into how devices evolve…
  • College: College of Engineering (COE)
  • Inventors: Roblin, Patrick; Lindquist, Miles
  • Licensing Officer: Ashouripashaki, Mandana

DIAMOND: Risk-Based Cyber Vulnerability Management with Business Context Analytics
TS-074364 — Senior executives struggle to understand and prioritize cybersecurity risk in business terms. Existing vulnerability scoring systems rely on opaque or arbitrary measures that fail to connect cybersecurity decisions to financial impact, staffing costs, or operational tradeoffs. As a result, organiz…
  • College: College of Engineering (COE)
  • Inventors: Allen, Theodore "Ted"; RoyChowdhury, Sayak
  • Licensing Officer: Zinn, Ryan

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 vehicles 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 trad…
  • 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

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

Robust Positioning and Navigation Using Low Earth Orbit Satellite Signals
TS-072827 — The Need Current navigation systems, such as GNSS, face limitations in urban canyons, indoor environments, and areas with signal jamming or spoofing. The rapid proliferation of LEO satellite constellations presents an untapped opportunity for resilient, accurate positioning. However, leveraging thes…
  • College: College of Engineering (COE)
  • Inventors: Kassas, Zak
  • Licensing Officer: Ashouripashaki, Mandana

NeuroThread: Ultrathin Wire-Type Neurochemical Sensor for Real-Time CNS Monitoring
TS-071414 — The Need Current neurochemical monitoring technologies are limited by bulky form factors, complex fabrication, and invasiveness, which restrict their clinical and research utility. Existing sensors often cause tissue damage, lack real-time resolution, and are costly to manufacture, impeding widespre…
  • College: College of Engineering (COE)
  • Inventors: Li, Jinghua; Liu, Tzu Li
  • Licensing Officer: Ashouripashaki, Mandana

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

VerDiff: Automated Vulnerability Version Detection for Open Source Security
TS-071385 — The Need Open source software is foundational to modern development, yet it introduces significant security risks due to outdated dependencies and inaccurate vulnerability advisories. Public databases often fail to identify all affected versions of software, leaving organizations exposed. With vulne…
  • College: College of Engineering (COE)
  • Inventors: Anwar, Md Sakib; Lin, Zhiqiang; Yagemann, Carter
  • Licensing Officer: Mess, David

Vectorized Channel Estimation and SINR Optimization for Ultra-Wideband Communications
TS-070631 — The Need Ultra-wideband communication systems, including mmWave and optical wireless networks, demand highly accurate and low-latency channel estimation to maintain throughput and reliability. Existing methods, such as hybrid correlation and least squares estimators, suffer from high computational c…
  • College: College of Engineering (COE)
  • Inventors: Cai, Jian-Feng; Mao, Chongchang; Xian, Poline Y.; Xue, Ye; Zhang, Haiming
  • Licensing Officer: Ashouripashaki, Mandana

GPS Independent Lane Level Vehicle Localization
TS-069654 — Technology bundle containing T2025-148 and T2024-150.
The Need Reliable vehicle localization is critical for autonomous and human-driven vehicles, especially in GPS-denied environments such as dense urban areas, tunnels, and off-road farms and construction sites. Current localization methods relying solely on GPS are prone to signal loss and inaccurac…
  • College: College of Engineering (COE)
  • Inventors: Javed, Nur Uddin; Ahmed, Qadeer
  • Licensing Officer: Ashouripashaki, Mandana

Advanced LEO Satellite-Based Position, Navigation, and Timing Solutions
TS-069653 — Technology Bundle: T2025-053, T2025-055, T2025-056
The Need Current global navigation satellite systems (GNSS) face significant challenges, including signal vulnerability to interference, limited coverage in urban and remote areas, and insufficient accuracy for high-precision applications. There is a critical need for more robust, accurate, and rel…
  • College: College of Engineering (COE)
  • Inventors: Kassas, Zak; Kozhaya, Sharbel
  • Licensing Officer: Ashouripashaki, Mandana

Sustainability-Aware Management of Autonomous Mobile Robot (AMR) Fleets
TS-068477 — The Need Autonomous Mobile Robots (AMRs) are critical to modern, highly automated environments, operating 24/7 to optimize tasks, increase throughput, and meet demanding operational requirements. However, most task allocation and charging solutions focus solely on maximizing performance metrics like…
  • College: College of Engineering (COE)
  • Inventors: Brocanelli, Marco
  • Licensing Officer: Randhawa, Davinder

A Method for Accurate Cross Band Channel Prediction
TS-068476 — The Need Modern wireless networks, including 5G and future 6G systems, rely heavily on accurate channel prediction to ensure efficient and reliable communication. Frequency Domain Duplexing (FDD) systems face challenges in accurately predicting downlink channels from uplink channels, particularly in…
  • College: College of Engineering (COE)
  • Inventors: Banerjee, Avishek; Athreya, Kannan; Parthasarathy, Srinivasan
  • Licensing Officer: Randhawa, Davinder

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