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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

Propagation-Based Fault Detection and Sensor Optimization for Complex Industrial Systems
TS-072175 — The Need Modern industrial and energy systems are increasingly complex, making timely fault detection and discrimination critical for safety, reliability, and cost control. Existing fault diagnosis methods often struggle with transient states, require extensive historical data, or lack interpretabil…
  • College: College of Engineering (COE)
  • Inventors: Smidts, Carol; Diao, Xiaoxu; Li, Boyuan
  • Licensing Officer: Giles, David

Forecast Amplifier-Triple Your Weather Ensemble Quickly and Affordably
TS-071915 — An ultra‑efficient probit‑space ensemble expansion approach triples the size of weather‑forecast ensembles by producing hundreds of realistic “virtual” members from existing runs using minimal compute time and expert statistical knowledge.
Modern weather models are extremely complex, and each forecast can only be simulated a limited number of times. This means forecasters often have just 50–100 versions of a prediction to work with, even though the atmosphere itself is vastly more complicated. With so few samples, important de…
  • College: College of Arts & Sciences
  • Inventors: Chan, Man-Yau "Joseph"
  • Licensing Officer: Panic, Ana

GRAFT-Stereo: Cost-Effective, High-Accuracy 3D Depth Perception
TS-071747 — The Need High-accuracy 3D depth perception is critical for autonomous systems, but current stereo camera methods falter in complex outdoor environments. While LiDAR can improve accuracy, its effectiveness plummets when using sparse data from affordable, lower-beam sensors, making high performance …
  • College: College of Engineering (COE)
  • Inventors: Chao, Wei-Lun "Harry"; Asare Boateng, Jeffery; Jeon, Sooyoung; Krishna, Sanjay; Musah, Tawfiq; Yoo, Jinsu
  • Licensing Officer: Randhawa, Davinder

AI-Powered Smart Home System for Visual Organization Task Automation
TS-071692 — The Need Modern smart home systems often lack contextual awareness and actionable intelligence, limiting their usefulness in daily home management. Consumers are seeking more intuitive, proactive solutions that go beyond simple automation to offer real-time insights, task generation, and physical in…
  • College: College of Engineering (COE)
  • Inventors: Wisniewski, Dan; Cazares, Richard; Schneller, Aspen; Starrett, Sean; Terveer, Michael
  • Licensing Officer: Sharick, Joe

Efficient Cyclic Redundancy Check Encoding with Low-Complexity LFSR Design
TS-071388 — The Need Cyclic redundancy checks (CRC) are utilized in digital communication and storage systems for error detection. Current CRC encoding and decoding methods in digital communication and storage systems are complex and require a high gate count, leading to inefficiencies in hardware design. There…
  • College: College of Engineering (COE)
  • Inventors: Zhang, Xinmiao; Cai, Jiaxuan; Tang, Yok Jye
  • Licensing Officer: Giles, David

SPARKLE: Machine Learning Platform for Rapid Organic Battery Material Discovery
TS-071386 — The Need The search for sustainable, high-performance battery materials is hindered by reliance on finite metal-based resources and slow, trial-and-error development cycles. Organic electrode materials (OEMs), composed of earth-abundant elements, offer a more sustainable path but present challenges …
  • College: College of Engineering (COE)
  • Inventors: Paulson, Joel; Muthyala, Madhav; Park, Jay; Sorourifar, Farshud; Zhang, Shiyu
  • Licensing Officer: Mess, David

VerDiff: Automated Vulnerability Version Detection for Open Source Security
TS-071385 — The Need Open source software is foundational to modern development, yet it introduces significant security risks due to outdated dependencies and inaccurate vulnerability advisories. Public databases often fail to identify all affected versions of software, leaving organizations exposed. With vulne…
  • College: College of Engineering (COE)
  • Inventors: Anwar, Md Sakib; Lin, Zhiqiang; Yagemann, Carter
  • Licensing Officer: Mess, David

Efficient Machine Learning Prediction of Solvation Thermodynamics
TS-071267 — The Need Modeling solvent effects on catalytic surfaces is critical for designing industrial processes like biomass conversion, fuel synthesis, and electrocatalysis. Traditional multiscale simulations combining density functional theory (DFT) and molecular dynamics (MD) offer accuracy but are comp…
  • College: College of Engineering (COE)
  • Inventors: Getman, Rachel; Punyapu, Rohit; Shi, Jiexin
  • Licensing Officer: Randhawa, Davinder

A Generalized Mistuning Model for Bladed Disk Systems
TS-070971 — The Need Modern gas turbines and compressors rely on bladed disks, which are highly sensitive to mistuning caused by manufacturing tolerances, wear, or damage. Existing modeling tools are fragmented, complex, and often limited to specific mistuning types. Industry will greatly benefit from a unified…
  • College: College of Engineering (COE)
  • Inventors: D'Souza, Kiran; Krizak, Troy
  • Licensing Officer: Giles, David

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