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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Need Open source software is foundational to modern development, yet it introduces significant security risks due to outdated dependencies and inaccurate vulnerability advisories.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

Auditing Fairness Online through Interactive Refinement
TS-063038 — The Need In the era of machine learning, high-stakes decisions are increasingly being made by black box models, leading to concerns about accountability and fairness. These models can exhibit inherent biases, raising the need for a system that ensures accountability and fairness in decision-making …
  • College: College of Engineering (COE)
  • Inventors: Maneriker, Pranav; Burley, Codi; Parthasarathy, Srinivasan
  • Licensing Officer: Mess, David

Counterattacking Smart Contract Exploits: An Active Defense Approach
TS-063027 — The Need Smart contracts have revolutionized the way transactions are conducted, but their unique nature makes them susceptible to exploitation. Despite extensive efforts in vulnerability identification, exploitable vulnerabilities persist, resulting in substantial financial losses. To mitigate thi…
  • College: College of Engineering (COE)
  • Inventors: Lin, Zhiqiang; Morales, Marcelo
  • Licensing Officer: Mess, David

Turf Whisperer: Location Selective Data Delivery via Low-Power Acoustic Transmissions
TS-037839 — A way to use audio systems to send information to select locations and people, without the public hearing it.
With the advent of digital communications platforms such as mobile devices, information is able is to be disseminated almost instantly, to anywhere in the world. However, some aspects of modern infrastructure have not caught up to the information age, with facilities such as supermarkets and airpo…
  • College: College of Engineering (COE)
  • Inventors: Koksal, C. Emre; Indukuri, Harihara Varma
  • Licensing Officer: Mess, David

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