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
Hybrid Membrane–Adsorption Process for Efficient Direct Air Capture
TS-073184 —
Direct air capture (DAC) technologies are essential for meeting global carbon‑reduction goals, yet most current systems remain limited by high energy demand, high cost, and materials with insufficient stability. Traditional solid‑sorbent DAC approaches require significant thermal input for reg…
- College: College of Engineering (COE)
- Inventors: Ho, W.S. Winston; Han, Yang; Huang, Yi-Chen
- Licensing Officer: Ashouripashaki, Mandana
Lightweight CNT-Polymer Composite Wires with Enhanced Conductivity and Ampacity
TS-072578 — The Need
Current lightweight conductors, such as copper and aluminum, face limitations in specific electrical conductivity, flexibility, and thermal management, especially for demanding applications in electrified transportation and aerospace. There is a critical need for conductors that combine hig…
- College: College of Engineering (COE)
- Inventors: Sumption, Michael; Guo, Yang; Xue, Shengchen
- Licensing Officer: Ashouripashaki, Mandana
Wireless Sensor-Actuator-Coupled Gustatory Interface for Remote Tasting
TS-072321 — The Need
Current virtual and augmented reality (VR/AR) platforms lack integration of gustatory (taste) sensations, limiting user immersion and sensory engagement. Existing human-machine interfaces focus primarily on visual, auditory, and haptic feedback, neglecting the chemical dimension of taste. T…
- College: College of Engineering (COE)
- Inventors: Chen, Shulin; Jia, Yizhen; Li, Jinghua; Liu, Tzu-Li
- Licensing Officer: Ashouripashaki, Mandana
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
Mesoporous Support-Immobilized Metal Oxide Nanoparticles for High-Purity Syngas Generation
TS-071809 — The Need
Syngas is an essential intermediate for producing high-value chemicals such as gasoline, methanol, and dimethyl ether. Current industrial methods (steam reforming, autothermal reforming, and partial oxidation) are energy-intensive, costly, and environmentally burdensome. Moreover, these met…
- College: College of Engineering (COE)
- Inventors: Fan, Liang-Shih; Cheng, Zhuo; Liu, Yan; Qin, Lang
- Licensing Officer: Ashouripashaki, Mandana
Redox Chemical Looping System for CO2 Capture and Syngas Generation
TS-071808 — The Need
Industrial syngas and hydrogen production processes are highly energy-intensive and contribute significantly to carbon emissions due to reliance on fossil fuel combustion. Existing methods require multiple unit operations, resulting in low efficiency and high operational costs. There is a c…
- College: College of Engineering (COE)
- Inventors: Fan, Liang-Shih; Baser, Deven Swapneshu; Cheng, Zhuo; Shah, Vedant
- Licensing Officer: Ashouripashaki, Mandana
Stable Phase Metal Oxide Syngas Generation without Molecular Oxygen
TS-071806 — The Need
Current syngas production from methane relies on energy-intensive air separation units (ASUs) to supply molecular oxygen, driving up capital and operating costs. Conventional catalysts also suffer from carbon deposition at low oxidant concentrations, limiting process flexibility and efficie…
- College: College of Engineering (COE)
- Inventors: Fan, Liang-Shih; Baser, Deven; Cheng, Zhuo; Kathe, Mandar; Kong, Fanhe "Frank"; Nadgouda, Sourabh; Tong, Andrew
- Licensing Officer: Ashouripashaki, Mandana
Smart Liquid Crystal Sensor for Real-Time Shear Flow Visualization
TS-070520 — The Need
Accurate, real-time mapping of shear forces in fluid environments remains a challenge, particularly in applications requiring passive, non-invasive, and long-term monitoring. Existing technologies often rely on active sensors that require power, are difficult to integrate into sensitive sys…
- College: College of Engineering (COE)
- Inventors: Wang, Xiaoguang "William"; Chen, Boyuan; Kara, Ufuoma; Weible, Alan
- 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
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