Christopher Madsen

Developed new methodologies for integration of substrate integrated waveguide filters into current microstrip-based thick film process, optimized computational electromagnetic simulations through use of Python.

• Saved $3.16 million in scrap expenses through development of FA techniques, rework criteria, and preventative identification and isolation of problems prior to production failures. • Developed software package that utilizes a recursive partitioning machine learning algorithm to perform revenue-critical frequency matching of paired semiconductor die in a multi-chip module -- software won organization's quarterly lean initiative award and is expected to save $500k in lost revenue annually.

• Conducted software testing on SEEload Demand Response Management System software using ISTQB testing principles. • Engineered software test cases focusing on integration of NOAA and Pacific Gas & Electric (PG&E) weather systems into demand response software.

• Engineered and constructed inductive loops for experimental RF coil array. • Designed and etched circuit boards for use in RF array power systems. • Researched effects of RF coil radius and frequency on Q factor in ultra high field MRI – published internal paper for review by head of institute.

• Performed and directed on the spot malfunction corrections on 120 communications components. • Conducted preventative and unscheduled maintenance inspections on 2,820 assets valued at $22 million. • Operated and performed preventative and scheduled maintenance on 362 major equipment items, to include repairs, overhauls, and modifications. • Adjusted, inspected, tuned, and aligned communications equipment valued at $43 million.

Semiconductor technology and solid state physics

RF engineering, communications