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Textile Sensors for Neonatal Growth and Safety
TS-073028 — Neonatal units need unobtrusive, continuous monitoring of presence, posture, motion, and growth metrics (recumbent length, optional weight) without cameras, wires, or labor‑intensive workflows. Frequent, accurate measurements are critical for early detection of growth deviations and unsafe sleep…
  • College: College of Engineering (COE)
  • Inventors: Kiourti, Asimina; Militello, Lisa
  • Licensing Officer: Ashouripashaki, Mandana

Strain‑Activated Programmable Surfaces for Controlled Drug Delivery in Mechanically Regulated Diseases
TS-072945 — Many mechanically mediated conditions such as vascular hypertension, glaucoma, and abdominal distension, present intermittent, unpredictable episodes that demand drug release only when symptoms emerge. Conventional platforms often leak at baseline, require external triggers, or cannot synchronize …
  • College: College of Engineering (COE)
  • Inventors: Zhao, Yi
  • Licensing Officer: Randhawa, Davinder

Sustainable Fungal Memristors for Neuromorphic and Eco-Friendly Computing
TS-072329 — The Need The rapid growth of artificial intelligence and neural networks is driving unprecedented demand for energy-efficient, scalable hardware. Conventional memristors require rare earths and complex fabrication, contributing to electronic waste and limiting accessibility. There is a critical need…
  • College: College of Engineering (COE)
  • Inventors: LaRocco, John; Hill, Justin; Simonis, John; Tahmina, Qudsia
  • Licensing Officer: Randhawa, Davinder

Flexible Light-Addressable Sensor for High-Resolution Physiological Mapping
TS-072319 — The Need Current methods for mapping electrical potential gradients in biological tissues, such as the brain, rely on high-density electrode arrays fabricated via costly microfabrication techniques. These rigid devices struggle to conform to complex tissue morphologies, limiting their effectiveness …
  • College: College of Engineering (COE)
  • Inventors: Li, Jinghua; Chen, Shulin; Jia, Yizhen; Liu, Tzu Li; Wang, Qi
  • Licensing Officer: Ashouripashaki, Mandana

Wearable Magnetoinductive Smart Textiles for Real-Time Muscle Health Monitoring
TS-072052 — The Need Current wearable sensors for muscle health are limited in their ability to track real-time geometric changes in muscle size and shape, especially outside controlled laboratory environments. Existing solutions, such as force myography and ultrasound, either lack direct geometric insight or a…
  • College: College of Engineering (COE)
  • Inventors: Coogle, Sam; Kiourti, Asimina
  • Licensing Officer: Randhawa, Davinder

Quantum Defect-Based Ultra-Sensitive Radiation Detection Platform
TS-071847 — The Need Current fast neutron detection technologies suffer from inherently low sensitivity due to the limited interaction cross-section between neutrons and atomic nuclei. This restricts their effectiveness in critical applications such as nuclear security, radiation dosimetry, and advanced imaging…
  • College: College of Engineering (COE)
  • Inventors: Cao, Lei Raymond; Johnston-Halperin, Ezekiel; Shoen, Luke
  • Licensing Officer: Ashouripashaki, Mandana

Reversible Shape-Changing Amorphous Polymers via Liquid Crystal Templating
TS-071745 — The Need Current two-way shape memory polymers (SMPs) require expensive, crystalline or liquid crystalline monomers and complex synthesis, limiting their use in cost-sensitive and biocompatible applications. Widely used amorphous polymers (e.g., polystyrene, PMMA) are inexpensive and common in con…
  • College: College of Engineering (COE)
  • Inventors: Wang, Xiaoguang "William"; Dupont, Robert; Zhang, Meng
  • Licensing Officer: Randhawa, Davinder

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

Method to Determine Tremor Frequency from Deep Brain Stimulation Signals
TS-070304 — The Need Current clinical methods for assessing tremor severity in patients with Parkinson’s disease and other movement disorders rely heavily on subjective, qualitative observations, such as evaluating hand-drawn spirals or observing motor tasks. These approaches lack precision, are difficult…
  • College: College of Engineering (COE)
  • Inventors: Khan, Furrukh; Dalm, Brian; Novikov, David; Thomas, Evan; Zhao, Jessie
  • Licensing Officer: Randhawa, Davinder

Motion-Guided Deep Image Prior (M-DIP) for Dynamic Image Reconstruction in Cardiovascular MRI
TS-069527 — The Need Cardiovascular MRI (CMR) data acquisition is often time-consuming and relies on complex reconstruction methods that do not fully exploit the spatial and temporal structure of CMR data. There is a need for a more efficient, unsupervised approach that can accelerate CMR imaging while maintai…
  • College: College of Engineering (COE)
  • Inventors: Ahmad, Rizwan; Chen, Chong; Sultan, Muhammad
  • Licensing Officer: Randhawa, Davinder

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