Pedro Miguel Pinto Ramos

Pedro Miguel Pinto Ramos is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Lisbon (Técnico Lisboa), affiliated with the Higher Technical Institute. His research focuses on signal processing, instrumentation, power quality analysis, and non-destructive testing. He teaches courses such as 'Instrumentation and Measurements' and '2nd Cycle Integrative Project in Electronic Engineering.'

His work spans embedded systems design, magnetic material characterization, and applications in particle accelerator magnets. Recent contributions include deep learning techniques for power quality monitoring, eddy current testing probes using magneto-resistive sensors, and impedance spectroscopy for sensor modeling. He collaborates on projects like smart composting monitoring and robotic tactile sensors.

Ramos has published extensively on topics including harmonic estimation algorithms, genetic algorithms for circuit identification, and low-cost measurement systems. His technical contributions include DSP-based data acquisition systems and real-time processing for eddy currents testing. He also works on low-frequency impedance measurement techniques and uncertainty analysis in electrical measurements.

His research lab focuses on advancing non-destructive testing (NDT) through eddy current methods, with applications in friction stir welding inspection and material characterization for high-field superconducting magnets. Collaborations include work with CERN on magnetic material properties for Large Hadron Collider (LHC) upgrades.