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A Scalable Method for Minimizing Beam-Training Overhead in mmWave Communications
TS-068475 — 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-quality…
  • College: College of Engineering (COE)
  • Inventors: Athreya, Kannan; Chen, Wei-Han; Liu, Xin; Parthasarathy, Srinivasan
  • 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: Athreya, Kannan; Chen, Wei-Han; Liu, Xin
  • Licensing Officer: Randhawa, Davinder

Automated Detection of Tumor Budding in Colorectal Cancer
TS-039267 — A non-invasive and automated tumor budding image analysis system for colorectal cancer. This program can detect tumor buds in traditional H&E stained sections without the need for manual assessment.
Colorectal cancer is the third most commonly diagnosed cancer in the United States. With a survival rate of less than 65%, early detection and treatment are key factors in survival. Tumor budding, associated with higher tumor stage, lymph node metastasis, and decreased disease-free survival, has e…
  • College: College of Medicine (COM)
  • Inventors: Gurcan, Metin; Ahmad Fauzi, Mohammad Faizal; Chen, Wei "Wei"; Frankel, Wendy
  • Licensing Officer: Hampton, Andrew

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