qurv
Dilan Pérez Paredes is a Research Engineer currently developing Python software for the automatic characterization of photodiodes at Qurv since October 2023. Prior to this role, Dilan worked as an Experimental Condensed Matter Researcher at ICFO, focusing on superconductivity phase transitions in Bernal bilayer graphene. Dilan's experience includes internships where software and device fabrication were key, such as the development of a Python-controlled semiconductor parameter analyzer and characterizing 2D topological insulator flakes at the National Physical Laboratory. Dilan holds a Master's degree in Multidisciplinary Research in Experimental Sciences from Universitat Pompeu Fabra and a Bachelor's degree in Physics from Universitat Autònoma de Barcelona.
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qurv
Qurv develops wide-spectrum image sensor technologies and integrated solutions to enable next-gen computer vision applications, addressing the expanding needs of an autonomous and intelligent new world. Qurv's technology leverages current CMOS scalable manufacturing and advanced materials to unlock new levels of performance, reliability and function in XR devices, service robots and automotive. Qurv's breakthrough technology platform stemmed from more than eight years of applied research, and the company was established in 2020.