I design and develop Aegis-Grid at the Indian Institute of Science (IISc). My work focuses on embedding autonomous AI agents and zero-trust cryptographic policies directly into grid communication layers to mitigate the modern Inertia Crisis ensuring sub-cycle, fail-secure responses when cyber threats meet physical dynamics.
- Aegis-Grid — Flagship framework for adaptive thresholding and entropy mirroring in wide-area grid traffic.
- PowerMCP — Industrial Model Context Protocol (MCP) bridge linking LLM/AI agents directly to PowerWorld and OpenDSS execution environments.
- Aegis-Consensus-Lab — Adversarial testing environment for validating distributed consensus under extreme network partitions and physical disturbances.
| Phase | Milestone | Core Focus |
|---|---|---|
| v1 | Fail-Secure | Implementation of deterministic safety fallbacks under communication failure. |
| v2 | Adaptive | Dynamic traffic thresholding conditioned on transient physical grid load. |
| v3 | Agentic | Decentralized, autonomous coordination using fog-of-war local execution logic. |
| 🚀 v4 | Grid-Aware | Current Focus: Direct integration of live physical constraints into agent decision trees. |
| 🔘 v5 | Post-Crypto | Quantum-resistant cryptographic primitives optimized for low-latency operational tech (OT). |