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GURU1001S/README.md

Live Telemetry Models

Physics-Informed Neural Network (PINN) Telemetry

Live PINN Heat Equation Solver

Causal Telemetry Graph

Live Streaming Causal Graph

I am an AI researcher and developer focusing on Physics-ML architectures, streaming causal observability, and scientific computing. My research aims to design robust, thermodynamically-consistent neural network models and real-time interventional causal observability frameworks for complex physical and engineering systems.

Active Research

PINN Failure Diagnostics (FM1)

FM1 Advection Wave Propagation Failure

ThermoPINN Prognostics (NASA CMAPSS)

ThermoPINN RUL Prediction Dashboard

TICSC Scaling Benchmark

TICSC Attention Replacement Benchmark

CausalNerve Observability

CausalNerve Streaming Observability

PHASE Solver Status Log

PHASE v4 Solver Status

Projects

Project Description Link
UTDTB v5 Universal Turbofan Digital Twin Benchmark with physics encoders and causal RUL predictions. GitHub Repository
ThermoPINN Physics-constrained meta-learning for turbofan thermodynamics and structural degradation. GitHub Repository
CausalNerve Real-time interventional causal intelligence and observability for streaming systems. GitHub Repository
Alien-Physics-AI Symbolic regression model for discovering alternative physical laws from simulated observations. GitHub Repository
NASA Predictive Maintenance CNN-LSTM-Attention hybrid model for Remaining Useful Life prediction on turbofan engines. GitHub Repository

Contact

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  1. An_Atlas_of_Physics_Informed_Neural_Network_Failures_The_Zugzwang_Thesis An_Atlas_of_Physics_Informed_Neural_Network_Failures_The_Zugzwang_Thesis Public

    ...

    Python

  2. no-free-qubit-qml no-free-qubit-qml Public

    Pre-registered, falsification-driven study of quantum kernel advantage under causal data structure — mostly negative results, rigorously obtained.

    Python