Patrick Pordage

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deeptech machine learning ai advanced engineering ev powertrain design software development electric motors sustainable technology deeptech engineering electric vehicle powertrain multi-physics simulation machine learning optimization ai for engineering anser engine motor system designs oem collaboration tier 1 suppliers motor efficiency system-level optimization powertrain performance engineering design solutions simulation driven design data-driven approaches neural networks generative models complex engineering challenges motor losses electromagnetic properties simulation mechanical properties simulation thermal analysis cost reduction development time minimization environmental impact carbon balance real-time simulation high-dimensional design space optimised engineering solutions multi-component systems automotive innovation sustainability initiatives fast prototyping mass reduction in motors flexible design parameters technological disruption electric motor architecture torque production optimization performance enhancement system integration training ml models computational efficiency engineering data accumulation feedback cycle in design holistic engineering approach artificial intelligence information technology & services