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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

HyperXtract: Rapid, Memory-Efficient Data Extraction for Nanopore Data
TS-070331 — Accelerate discovery and streamline workflows with a next-generation platform for high-throughput nanopore data extraction.
The Need Nanopore sensing is revolutionizing genomics, proteomics, and diagnostics, but the explosive growth in data volume has outpaced the capabilities of current analysis tools. Researchers often face bottlenecks due to slow processing speeds, memory limitations, and the need for specialized har…
  • College: College of Arts & Sciences
  • Inventors: Bandara, Nuwan
  • Licensing Officer: Panic, Ana

Unlocking Hidden Opportunities: The Power of Multi-Solution Spatial Aggregation
TS-067434 — The Need Spatial aggregation is crucial in numerous industries where data from low-level spatial units, such as census blocks, must be grouped into larger, meaningful regions. Traditional approaches often struggle with the computational complexity of these tasks and tend to focus on finding a singl…
  • College: College of Arts & Sciences
  • Inventors: Xiao, Ningchuan
  • Licensing Officer: Dahlman, Jason "Jay"

Deep Reservoir Computers for Precise Chaos Control
TS-065447 — The Need: In the realm of nonlinear control engineering, managing systems with chaotic dynamics poses a significant challenge. Conventional methods often fall short in achieving precise control over such systems due to their complexity and unpredictability. There's a pressing need for a solutio…
  • College: College of Arts & Sciences
  • Inventors: Canaday, Daniel; Gauthier, Daniel; Griffith, Aaron
  • Licensing Officer: Dahlman, Jason "Jay"

Reservoir Computing: Revolutionizing Rapid Processing
TS-065446 — The Need: In today's fast-paced commercial landscape, there's an increasing demand for rapid processing of complex data sets. Traditional computing methods often struggle to keep pace with real-time requirements, leading to inefficiencies and missed opportunities. Addressing this need for sw…
  • College: College of Arts & Sciences
  • Inventors: Canaday, Daniel; Gauthier, Daniel; Griffith, Aaron
  • Licensing Officer: Dahlman, Jason "Jay"

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"

KineScribe, an iPad app for Laban movement notations.
TS-064260 — The Need: Dance researchers, educators, choreographers, and movement practitioners face the challenge of accessing and editing Laban movement notation scores on modern, portable devices. With the discontinuation of LabanWriter, the industry lacked a touch-screen application tailored to the latest te…
  • College: College of Arts & Sciences
  • Inventors: Kosstrin, Hannah; Summers, Christopher
  • Licensing Officer: Dahlman, Jason "Jay"

Network-based Approach for Accurate Brain Modeling
TS-062628 — More than a billion people worldwide suffer from some neurological disorders, such as Alzheimer's, Parkinson's, multiple sclerosis, epilepsy, stroke, autism, addiction, and many others. These conditions result in more than 7 million deaths, with associated costs exceeding $1.5 trillion annua…
  • College: College of Arts & Sciences
  • Inventors: Cranmer, Skyler; Bhamidi, Shankar; Denny, Mathew; Desmarais, Bruce; Lu, Zhong-Lin; Stillman, Paul; Wilson, James
  • Licensing Officer: Dahlman, Jason "Jay"

AI Software for Complex NMR Spectra Analysis
TS-062576 — The Need Like a molecular “fingerprint”, NMR spectra provide valuable insights into the properties and structures of molecular compounds. However, analyzing and interpreting NMR spectra is inherently challenging as comprehensive and explicit identification of a compound is tedious and t…
  • College: College of Arts & Sciences
  • Inventors: Li, Da-Wei; Bruschweiler, Rafael
  • Licensing Officer: Panic, Ana

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