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; Parthasarathy, Srinivasan; Srinivasan, Kannan
- 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: Srinivasan, 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
Self-Calibration Technique for mmWave Antenna Arrays Based on Everyday Communication Behaviors
TS-068472 — The Need
The increasing adoption of mmWave technologies in 5G, IoT, and other advanced communication networks highlights a critical need for cost-effective, efficient, and scalable antenna calibration solutions. Traditional calibration methods rely on expensive laboratory setups and specialized equi…
- College: College of Engineering (COE)
- Inventors: Srinivasan, Kannan; Chen, Wei-Han; Liu, Xin
- Licensing Officer: Randhawa, Davinder
Color Correction System for Accurate Colorimetric Smartphone Measurements
TS-066957 — The Need
Colorimetric tests and remote image analysis are used in a wide range of industrial and medical applications. Digital image-based measurements made with smartphones are a promising platform to quantify colors at low cost, but suffer from inconsistency and errors caused by lens quality, sen…
- College: College of Engineering (COE)
- Inventors: Dannemiller, Karen; Panescu, Jenny; Qin, Rongjun; Song, Shuang; Zhang, Guixiang
- Licensing Officer: Ashouripashaki, Mandana
A Cybersecurity Vulnerability Prioritization System Including Identifying "Super-Critical" Vulnerabilities, predicting "Dark Host" Vulnerabilities, and Addressing Economic Costs
TS-066063 — Our cybersecurity vulnerability maintenance system stands as a pillar of modern security strategy, transforming reactive security measures into a preemptive defense mechanism. This integration of technology and economics ensures that your most critical assets are protected efficiently and effectively, making it an invaluable tool for any organization serious about security.
In today’s hyper-connected world, the escalation in cyber threats poses significant risks to organizational data and systems. Vulnerabilities within network infrastructures can lead to massive security breaches, as demonstrated by incidents like the 2017 Equifax hack. Effective vulnerability…
- College: College of Engineering (COE)
- Inventors: Allen, Theodore; Liu, Enhao
- Licensing Officer: Zinn, Ryan
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"
Secure Your Digital Fortress: Revolutionizing Cybersecurity with Next-Gen PUF Technology
TS-065412 — The Need:
In contemporary cybersecurity landscapes, the conventional methods of employing Physically Unclonable Functions (PUFs) necessitate maintaining a secure challenge-response database. However, this practice poses significant security risks as access to this database could lead to the comprom…
- College: College of Arts & Sciences
- Inventors: Gauthier, Daniel
- Licensing Officer: Dahlman, Jason "Jay"
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