Giorgio Magalhaes
Angestellt, Wissenschaftlicher Mitarbeiter, Fraunhofer-Institut für Hochfrequenzphysik und Radartechnik FHR
Wachtberg, Deutschland
Über mich
• 7 Years of experience. • Expert in radar algorithms, object detection and tracking, and sensor fusion. • Experienced in classification, inertial navigation, and GNSS/IMU integration. • Research on the topic of Lie Groups applied to filtering algorithms. • R&D Engineer: Bridging the gap between academic research and industrial applications.
Werdegang
Berufserfahrung von Giorgio Magalhaes
Bis heute 11 Monate, seit Aug. 2023
Wissenschaftlicher Mitarbeiter
Fraunhofer-Institut für Hochfrequenzphysik und Radartechnik FHR1 Jahr und 10 Monate, Okt. 2021 - Juli 2023
Specialist in Signal Processing
Neura Robotics GmbH
5 Jahre und 10 Monate, Jan. 2016 - Okt. 2021
Radar Signal Processing Engineer
Brazilian Army Technology Center
• On-site work at Embraer S.A. in R&D of military radars. • Responsible for receiving, testing, and approving the phased-array radar prototypes. • Devised the Sensitivity Time Control (STC) algorithm for the phased-array military radars. • Conceived a novel calibration method that led to improvements in accuracy and time cost. • Conduced analysis and optimizations in the processing chain, improving processing-gain. • Implemented SW modules ready for C++ Code Generation in a Model-Based Design.
Ausbildung von Giorgio Magalhaes
2 Jahre und 10 Monate, Aug. 2018 - Mai 2021
Electrical Engineering
State University of Campinas
Automation area, focused on Bayesian filtering on Lie groups. Research title: Radar aerial target-tracking on Lie groups. Thesis statement: Lie group-based filters can improve the radar tracking performance when the system model presents geometric symmetries as some Lie groups can naturally encode such symmetries.
4 Jahre und 11 Monate, Feb. 2011 - Dez. 2015
Electronics Engineering
Military Institute of Engineering
Capstone project: "Attitude control of a quadcopter".
Sprachen
Portugiesisch
Muttersprache
Englisch
Fließend
Deutsch
Gut
Französisch
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