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General Information

Full Name Claudia Mamede
Languages Portuguese (native), English, Spanish

Education

  • ongoing
    [DUAL] PhD in Software Engineering
    Carnegie Mellon University, USA
  • ongoing
    [DUAL] PhD in Computer Science
    Universities of Minho, Aveiro and Porto (MAP), Portugal
  • 2020 - 2022
    MSc in Informatics and Computing Engineering
    Faculty of Engineering of University of Porto, Portugal
  • 2017 - 2020
    BSc in Informatics and Computing Engineering
    Faculty of Engineering of University of Porto, Portugal

Experience

  • 2021 - 2022
    XAML linter to detect and fix code smells in files created with RPA tools
    In partnership with ARPA Elastic Solutions
    • Convert XAML files and rules to LISP; match-replace using unification.
  • 2021
    Intelligent mobile app to help customers shop for fashion items (Fashable)
    In partnership with XNFY Lab by Xnfinity
    • Client/Server architecture. Android application (using Node.js and React framework) that interacts with the backend through a REST API. The mobile application follows the MVVM (Model View ModelView) pattern.
  • 2020-2021
    Inventory and secure provisioning of IoT devices (for the beverage industry)
    In partnership with Onalytics
    • Cloud service (AWS), with a user-friendly interface (using Node.js and React framework), that interacts with IoT devices (ESP32) to assess the quality of kegs in the beverage industry

Open Source Projects

  • 2022-2023
    VDET for Java
    • A transformer-based VS Code extension for vulnerability detection. This project was developed under the scope of my master's thesis.

Honors and Awards

  • 2023
    • 1st place in Green Hackathon 2023 (Sentiment Analysis) (sponsored by Nine A/S, Roskilde University, IT-Branchen and Energy Cluster Denmark)
    • Best Poster Award at CMU Portugal 2023 Doctoral Symposium
  • 2022
    • Award Prof Dr Raul Vidal for the best master thesis in software engineering at University of Porto (sponsored by Deloitte)

Academic Interests

  • neural networks • transformers (encoder, decoder and encoder-decoder architectures) • natural language processing • software security • vulnerability detection • vulnerability repair • automated program repair • privacy-aware machine learning