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Predictive Computational Platform for Selective Rare Earth Ligand Design
TS-075918 — Rare earth elements (REEs) are essential for advanced manufacturing, energy technologies, electronics, and defense applications, yet their separation remains one of the most challenging and costly steps in the supply chain. Conventional separation methods often require extensive processing, hazard…
  • College: College of Engineering (COE)
  • Inventors: Getman, Rachel; Biswas, Sayani
  • Licensing Officer: Randhawa, Davinder

AI-Enabled Quantitative Assessment of External Heart Pump Performance
TS-075868 — Clinicians managing pediatric patients supported by a ventricular assist device must routinely assess pump performance by visually estimating membrane fill and ejection during pump cycles. These evaluations are critical for patient management but are inherently subjective, time-consuming, and pron…
  • College: College of Engineering (COE)
  • Inventors: Eichaker, Lauren; Fabian, Benjamin; Florence, Megan; Jain, Amara; Juarez, Alejandro; Nandi, Deipanjan; Robinson, Tavi; Sharma, Meghna
  • Licensing Officer: Sharick, Joe

Automated Cross-Document Table Consolidation and Visualization Platform
TS-075489 — Organizations across healthcare, government, finance, market intelligence, and regulatory sectors routinely generate large collections of reports containing valuable tabular data. While these reports often follow consistent formats, extracting, comparing, and analyzing information across multiple …
  • College: College of Engineering (COE)
  • Inventors: Bajaj, Goonmeet Kaur; Parthasarathy, Srinivasan
  • Licensing Officer: Giles, David

Adaptive Electroceutical Wound Dressing with AI-Driven Therapy
TS-074767 — Chronic and complex wounds remain a major clinical and economic burden, with high infection rates, slow healing trajectories, and limited real-time monitoring capabilities. Conventional dressings are largely passive and do not adapt to dynamic wound environments, while existing advanced therapies …
  • College: College of Engineering (COE)
  • Inventors: Karnes, Michael
  • Licensing Officer: Randhawa, Davinder

Ultra‑Fast 3D Real‑Time Cardiac MRI Without Gating or Binning
TS-074669 — Current cardiac MRI workflows rely heavily on breath-holds, ECG gating, and retrospective binning, which break down in patients with arrhythmias, irregular breathing, or limited ability to cooperate. Existing 3D approaches often average away beat-to-beat variability or suffer from motion artifacts…
  • College: College of Engineering (COE)
  • Inventors: Ahmad, Rizwan; Arshad, Syed Murtaza; Chen, Chong; Sultan, Ahmad
  • Licensing Officer: Randhawa, Davinder

Modular Generative AI Framework for Efficient Molecular Discovery
TS-074599 — Discovering molecules that simultaneously satisfy multiple competing design criteria is a resource-intensive challenge across the pharmaceutical, energy, and materials industries. The enormity of chemical space makes exhaustive screening impractical, while existing AI-guided methods either restric…
  • College: College of Engineering (COE)
  • Inventors: Paulson, Joel; Muthyala, Madhav Reddy; Sorourifar, Farshud; Tan, Tianhong
  • Licensing Officer: Randhawa, Davinder

DIAMOND: Risk-Based Cyber Vulnerability Management with Business Context Analytics
TS-074364 — Senior executives struggle to understand and prioritize cybersecurity risk in business terms. Existing vulnerability scoring systems rely on opaque or arbitrary measures that fail to connect cybersecurity decisions to financial impact, staffing costs, or operational tradeoffs. As a result, organiz…
  • College: College of Engineering (COE)
  • Inventors: Allen, Theodore "Ted"; RoyChowdhury, Sayak
  • Licensing Officer: Zinn, Ryan

AI-Enhanced Predictive Control for Hybrid Powertrain Energy Management
TS-074095 — Hybrid and electrified vehicles face increasing pressure to simultaneously reduce fuel consumption and tailpipe emissions, particularly during transient operating conditions such as cold start. Conventional rule-based or static control strategies struggle to optimally manage the tradeoffs among en…
  • College: College of Engineering (COE)
  • Inventors: Liu, Yuxing; Canova, Marcello
  • Licensing Officer: Zinn, Ryan

Robust Training of Spiking Neural Networks via Generative AI
TS-073717 — Spiking Neural Networks (SNNs) promise ultra-low-power, low-latency AI for edge and neuromorphic computing, but their adoption is constrained by fundamental training challenges. SNN performance is highly sensitive to how training data are collected (e.g., lighting, sensor settings, noise), leading…
  • College: College of Engineering (COE)
  • Inventors: Baietto, Anthony; Stewart, Christopher
  • Licensing Officer: Randhawa, Davinder

Tunable Ferrite Nanoparticles for Optimized Heating and Magnetic Performance
TS-073587 — Magnetic nanoparticles are widely used in applications such as magnetic hyperthermia, catalysis, sensing, and data storage, yet their performance is often limited by poor control over key magnetic properties. Existing materials typically rely on size or shape control alone, which provides limited …
  • College: College of Engineering (COE)
  • Inventors: Getman, Rachel; Punyapu, Rohit
  • Licensing Officer: Randhawa, Davinder

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