Vanessa De Arriba López

Funktion

Wissenschaftliche Mitarbeiterin

PhD Studentin

Sprechzeiten

nach Vereinbarung

Berufliches Profil

• 2020 - heute:  Wissenschaftliche Mitarbeiterin & PhD Studentin, TU Braunschweig, Germany
• 2019:  Internship in Data Analytics & AI Department, Fintonic F.S., Spain
• 2018 - 2019:  M. Sc. in Artificial Intelligence, International University of La Rioja, Spain
• 2017 - 2018:  Institut für Technische Dokumentation und Engineering Projekte, University of the Basque Country, Spain
• 2016 - 2017:  Auslandssemester in Luft-und-Raumfahrttechnik, TU Braunschweig, Germany
• 2013 - 2018:  B.Sc. in Industrial Technology Engineering, University of the Basque Country, Spain

Forschung und Projekte

• ABC-Inspect
• Master Thesis: "Development of a deep learning model for recognising german traffic signals focused on difficult cases"
• "Analysis and implementation of an automatic computer vision model to improve the security checks on OCR process over the client ID images" 
• Bachelor Thesis: "Modelling and simulation of NACA airfoils with Autodesk Inventor Professional"

Publikationen

• De Arriba López, V., Cobos-Guzman, S. Development of a deep learning model for recognising traffic sings focused on difficult cases. J Ambient Intell Human Comput (2021). doi.org/10.1007/s12652-021-03609-8
• Maboudi, M., Alamouri, A., De Arriba López, V., Bajauri, M. S., Berger, C., and Gerke, M.: DRONE-BASED CONTAINER CRANE INSPECTION: CONCEPT, CHALLENGES AND PRELIMINARY RESULTS, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2021, 121–128, doi.org/10.5194/isprs-annals-V-1-2021-121-2021, 2021.