Gerard Masalias earned, from the Universitat Politècnica de Catalunya (UPC), his degree in Telecommunications Engineering in 2015. That same year, he joined the Microwave Remote Sensing Laboratory (MIRSL) at the University of Massachusetts (UMass) to pursue a Master of Science in Electrical and Computer Engineering, graduating in 2018. At MIRSL, he focused on radar signal processing for airborne scatterometers and interferometric Synthetic Aperture Radar (InSAR) sensors, as well as SAR data simulators. In 2019, he joined MetaSensing, a Dutch–Italian company based in Noordwijk that specializes in radar solutions. There, he specialized in GPU-accelerated SAR-focusing algorithms as part of the StarSAR-X mission processor development. He contributed to data processing for innovative SAR campaigns, including airborne bistatic SAR interferometry, primarily under ESA contracts. In 2022, Gerard became a senior SAR R&D Engineer at Dares Technology, where he is working on the development of InSAR processing algorithms for drone-based sensors.
Gerard Masalias earned, from the Universitat Politècnica de Catalunya (UPC), his degree in Telecommunications Engineering in 2015. That same year, he joined the Microwave Remote Sensing Laboratory (MIRSL) at the University of Massachusetts (UMass) to pursue a Master of Science in Electrical and Computer Engineering, graduating in 2018. At MIRSL, he focused on radar signal processing for airborne scatterometers and interferometric Synthetic Aperture Radar (InSAR) sensors, as well as SAR data simulators. In 2019, he joined MetaSensing, a Dutch–Italian company based in Noordwijk that specializes in radar solutions. There, he specialized in GPU-accelerated SAR-focusing algorithms as part of the StarSAR-X mission processor development. He contributed to data processing for innovative SAR campaigns, including airborne bistatic SAR interferometry, primarily under ESA contracts. In 2022, Gerard became a senior SAR R&D Engineer at Dares Technology, where he is working on the development of InSAR processing algorithms for drone-based sensors.