Primal Logic Founder
Core Work
I design adaptive mathematical frameworks for autonomous, quantum-inspired, and swarm-driven systems. My focus is the Primal Logic Kernel, a deterministic yet history-weighted integral control model that maintains stability and responsiveness across dynamic networks.
Active Projects
Primal-Logic Kernel (PLK): Core integral model for real-time adaptive control.
MT-Swarm: Multi-target assignment and coordination layer for autonomous agents.
Quantro-Heart-Model: Biophysical coupling of neural and cardiac data using weighted temporal operators.
Lightfoot-Lambda SoC: Low-latency hardware architecture for embedded adaptive computation.
Van-Allen Multiswarm: Orbital and atmospheric swarm simulation for satellite coordination.
Research Fields
Multi-Agent Systems & Swarm Optimization
Orbital Dynamics & Ground-Station Geometry
Quantum-Inspired Control
Adaptive Signal Processing
Embedded Simulation (MATLAB, D-Lang, Python)