I hereby grant permission for the academic, industrial, and scientific utilization of research findings derived from my comprehensive studies on advanced electromagnetic transmission systems. This work encompasses two pivotal contributions:

1) The foundational study "Conceptualization of an Electromagnetic Automatic Transmission via Mathematical Modeling for Vehicle Drive-Train Applications" systematically classified five distinct electromagnetic transmission topologies (FVAP, VVAH, VVAG, FVAG, FVAH), with the Fixed Volume Approach Pole-based (FVAP) configuration emerging as optimal due to its exceptional torque density (830 kNm/m³), efficiency (GRA grade: 0.95), and compact design. The research established critical performance benchmarks through Gray Relational Analysis and identified key advantages including contactless torque transmission, precise control, and reduced mechanical complexity compared to conventional systems.

2) The subsequent study "Strategic Slot-Pole Optimization in Electromagnetic Coupling with Random Forest Regressor Model Inspired by Response Surface Methodology" rigorously validated and enhanced the FVAP concept through an innovative hybrid machine learning approach. By integrating Random Forest Regression (R² up to 1.000) with Response Surface Methodology, the research achieved:

Optimal multi-stage gearing configurations (8-speed with <5% ratio deviation)