Akil Bhagat

Published international patent application listing Akil Bhagat as one of the inventors; describes systems and methods for selecting and executing alternative digital tools within an interconnected digital model platform to optimize cost, compute, and error tradeoffs.

Research paper describing a hybrid methodology that integrates AI surrogates (neural networks, Gaussian processes) with traditional optical tolerancing (sensitivity analysis, Monte Carlo) to achieve 10–100× speedups in yield estimation while capturing non-linear manufacturing sensitivities.

Technical Q&A post providing step-by-step guidance on assigning Owner role and checking role inheritance and deny assignments in Azure RBAC to ensure full administrative access.