MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202641096630 A) filed by Vellore Institute Of Technology on August 10, 2026, for System And Method For Cognitive Workforce Twin Generation Using Graph Neural Networks And Explainable Ai.
Inventors include Mary Cherian; and Nitish Kumar Minz.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: The present invention relates to a cognitive workforce intelligence system and method for generating, managing, and evolving Cognitive Workforce Twins using dynamic graph fusion and artificial intelligence techniques. The invention integrates heterogeneous workforce graph structures into a unified workforce intelligence graph through a Dynamic Graph Fusion Mechanism, enabling representation of workforce cognition, competencies, behaviors, collaboration patterns, learning trajectories, and organizational influence. A Workforce Twin Evolution Mechanism continuously updates workforce states based on organizational events and interactions. The system further includes a Workforce Intelligence Engine and Workforce Simulation Engine for predictive workforce analytics, scenario evaluation, and decision support. An Explainable Decision Intelligence Framework provides transparent recommendations using graph-based reasoning and evidence extraction, while a Continuous Learning and Feedback Framework enables adaptive refinement of intelligence models. The integrated architecture facilitates intelligent workforce management, organizational forecasting, and explainable AI-driven workforce optimization.
Disclaimer: Curated by HT Syndication.
