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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: Giles, David

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

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

Deep Reservoir Computers for Precise Chaos Control
TS-065447 — The Need: In the realm of nonlinear control engineering, managing systems with chaotic dynamics poses a significant challenge. Conventional methods often fall short in achieving precise control over such systems due to their complexity and unpredictability. There's a pressing need for a solutio…
  • College: College of Arts & Sciences
  • Inventors: Canaday, Daniel; Gauthier, Daniel; Griffith, Aaron
  • Licensing Officer: Dahlman, Jason "Jay"

Introducing Revolutionary IC Chip Technology: Enhancing Cybersecurity with Physically Unclonable Functions
TS-065436 — The Need: In an era dominated by digital transactions and sensitive data exchanges, ensuring robust cybersecurity measures is paramount for individuals and organizations alike. Traditional methods of securing data often fall short in the face of sophisticated cyber threats, necessitating innovative …
  • College: College of Arts & Sciences
  • Inventors: Gauthier, Daniel; Canaday, Daniel; Charlot, Noeloikeau; Pomerance, Andrew
  • Licensing Officer: Dahlman, Jason "Jay"

Quantum Leap: Revolutionizing Computing and Sensing with Modular Zero-Dimensional Tunnel Junction Devices
TS-065414 — The Need Innovations in the field of quantum information technology are paramount to addressing the escalating demand for advanced computational capabilities and sensitive sensor applications. As these new technologies are poised to disrupt traditional computing and sensing methodologies, there ari…
  • College: College of Arts & Sciences
  • Inventors: Johnston-Halperin, Ezekiel; Gupta, Jay; Hamilton, Morgan; Kavand, Marzieh; Koll, Will; Perez-Hoyos, Ethel; Phillips, Zoe
  • Licensing Officer: Dahlman, Jason "Jay"

Monolithically Integrated Tunnel Junction-Based GaN Light Emitting Transistors
TS-065398 — Emissive display technologies (e.g., OLEDs) are display technologies that emit light directly to produce images. Unlike reflective displays, which rely on external light sources, emissive displays generate light, resulting in vibrant and high-contrast visuals. These next-generation displays are used in several applications, including mobile devices, AV/VR headsets, and wearable devices.
Although emissive displays are integrated into many electronic devices, they face some challenges. One of the primary issues is the integration of LEDs and electronic drivers when scaling into mesa dimensions. The mesa is a crucial parameter in display manufacturing as it determines the size of th…
  • College: College of Engineering (COE)
  • Inventors: Rajan, Siddharth; Jamal-Eddine, Zane; Joishi, Chandan "Chandan"; Rahman, Sheikh Ifatur
  • Licensing Officer: Ashouripashaki, Mandana

High-K Dielectric barriers to suppress internal photoemission photocurrents
TS-063471 — In an increasingly digital world, the demand for efficient and reliable photodetectors is paramount. These devices are critical for a variety of applications, from medical imaging to defense systems. However, traditional photodetectors often struggle with low UV-visible rejection, limiting their e…
  • College: College of Engineering (COE)
  • Inventors: Rajan, Siddharth; McGlone, Joseph "Joe"; Wriedt, Nathan
  • Licensing Officer: Ashouripashaki, Mandana

Monolayer Etching of Wurtzite GaN/AlGaN/AlN Using Cyclic O2 Plasma and Atomic Ga/Al Flux Exposure
TS-063466 — In the rapidly evolving world of semiconductor technology, there is a growing demand for efficient and precise methods of etching Gallium Nitride (GaN)-based semiconductors. Traditional wet and dry etching processes often damage the GaN, compromising the quality and performance of the final produc…
  • College: College of Engineering (COE)
  • Inventors: Rajan, Siddharth; Dheenan, Ashok; Rahman, Sheikh Ifatur; Wriedt, Nathan
  • Licensing Officer: Ashouripashaki, Mandana

Method to Create Patterned Thin Films of Lithium Niobate for Hybrid Integrated Photonics
TS-062492 — Photonic integration is driven by demand for smaller size, lower cost, lower power consumption, easier assembly, higher reliability, and greater data density in modern photonic devices and systems. Among the many platforms, silicon photonics is particularly promising for photonic integration due t…
  • College: College of Engineering (COE)
  • Inventors: Reano, Ronald; Chen, Li
  • Licensing Officer: Zinn, Ryan

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