Search Results - omowunmi+sadik

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Anomaly Detection and Localization via Graph Learning
This technology introduces a graph learning-based framework for detecting and localizing anomalies in power systems using distributed PMU data. The core innovation lies in modeling the grid as a dynamic spatiotemporal graph, where each node represents a bus (or measurement point), and edges represent relationships between voltage measurements across...
Published: 5/13/2026   |   Updated: 4/22/2026   |   Inventor(s): Olabode Amusan, Di Wu
Keywords(s): Electronics & Sensors, Software & Algorithms
Category(s): Technologies, Technologies > Electronics & Sensors, Technologies > Software & Algorithms
Influence Graph-Based Method for Sustainable Energy Systems
This technology introduces a novel influence graph-based vulnerability assessment framework for Integrated Power and Gas Systems (IPGS), designed to identify critical components that initiate cascading failures. The method first models cascading failures using fault chain theory, where sequential component outages are characterized by transition probabilities...
Published: 3/6/2026   |   Updated: 3/6/2026   |   Inventor(s): Nof Yasir, Di Wu
Keywords(s): Electronics & Sensors, Software & Algorithms
Category(s): Technologies > Electronics & Sensors, Technologies > Mechanical/Robotics, Technologies > Software & Algorithms
BioTerc PAA: Biodegradable Ternary Co-Polymers Of Poly (Amic) Acid as Packaging Materials
Non-toxic, antimicrobial, impermeable Biodegradable Ternary Co-Polymers Of Poly (Amic) Acid for use as “Intelligent” Packaging Materials. Background: The problems of plastics in the environment have been known for a long time: they persist for a long period of time and are not typically biodegradable. Therefore, there is an increasing...
Published: 1/8/2026   |   Updated: 1/23/2020   |   Inventor(s): Omowunmi Sadik, Idris Yazgan
Keywords(s): #SUNYresearch, CleanTech, Technologies
Category(s): Technology Classifications > Clean Energy, Campus > Binghamton University