Available Technologies
# of Displayed Technologies: 10 / 51
Applied Category Filter (Click To Remove): Communications & Networking
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Open source software is foundational to modern development, yet it introduces significant security risks due to outdated dependencies and inaccurate vulnerability advisories.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
A Scalable Method for Minimizing Beam-Training Overhead in mmWave Communications
TS-068475 — The Need
As mmWave technology becomes the backbone of 5G and other advanced communication systems, the demand for fast, reliable, and scalable beamforming solutions has surged. Traditional beam-training methods are computationally intensive and time-consuming, leading to delays in establishing high-…
- College: College of Engineering (COE)
- Inventors: Athreya, Kannan; Chen, Wei-Han; Liu, Xin; Parthasarathy, Srinivasan
- Licensing Officer: Randhawa, Davinder
Passive Optical-to-RF Conversion for Secure Eavesdropping on Optical Wireless Communication Systems
TS-068474 — The Need
As Optical Wireless Communication (OWC) systems become increasingly prevalent, there is a growing demand for innovative signal conversion techniques that enhance communication capabilities while addressing security vulnerabilities. Conventional methods of optical-to-RF signal conversion rel…
- College: College of Engineering (COE)
- Inventors: Liu, Xin; Song, Guanqun; Zhu, Ting
- Licensing Officer: Randhawa, Davinder
