CV

My full academic curriculum vitae.

Education


Bachelor of Science in Computer Science

Oct 2021 - Present
Technical University of Berlin

  • Relevant Coursework: Database Project, Scientific Computation, Algorithms & Data Structures, Information Systems and Data Analytics, Software Engineering, Introduction to Programming, Stochastic
  • Semester abroad in summer 2024 at 3 international summer schools, taking courses in language and culture: Tohoku University (May-June, Japan), Hanyang University (June-July, South Korea), Chinese University of Hongkong (August, Hongkong)

Work Experience


Student Researcher

Nov 2022 - Present
German Research Center for Artificial Intelligence (DFKI), Berlin

  • Independent research on deep learning-based recognition of mouth actions for sign language
  • Training models in PyTorch on GPU cluster and create scripts for web scraping and preprocessing
  • Visualization of results and engagement in academic publications
Research Intern

Aug 2023 - Oct 2023
Cambridge CARES, Singapore

  • CARES is the University of Cambridge’s only research centre outside of UK
  • Worked in the World Avatar Project, developed by the University of Cambridge’s CoMo Group
  • Deployment and bug-fixing of an agent to forecast time series related to a power system
  • Exploration, testing and modification of functionalities of the agent to forecast with covariates
  • Conduction of a comprehensive literature review about time series forecasting utilizing knowledge graphs
Data Engineer Intern

Aug 2022 - Oct 2022
Mercedes-Benz Tech Innovation, Berlin

  • Implemented and optimized data platforms using tools such as Python, PySpark, Power BI and Databricks
  • Developed a function with PySpark in Databricks to efficiently calculate availability in vehicle tables including billions of entries and presented highly affected attributes as a dashboard in Power BI

Skills

  • Programming Languages: Python, Java, C, C++
  • Database: SQL, Postgres, DB2, Spark, BlazeGraph
  • Tools: Git, Linux, Docker, Arduino, Power BI, Databricks
  • Frameworks & Libraries PyTorch, TensorFlow, Pandas, Scikit-learn, NumPy, OpenCV

Selected Publications

  • Dinh Nam Pham, Vera Czehmann, Eleftherios Avramidis, “Disambiguating Signs: Deep Learning-based Gloss-level Classification for German Sign Language by Utilizing Mouth Actions,” in Proceedings of the 31st European Symposium on Artificial Neural Networks, Computational Intelligence, and Machine Learning (ESANN 2023), 2023, pp. 595–600. [PDF]
  • Dinh Nam Pham, Torsten Rahne. “Entwicklung und Evaluation eines Deep-Learning-Algorithmus fur die Worterkennung aus Lippenbewegungen für die deutsche Sprache,” in HNO, vol. 70, no. 6, pp. 456–465, 2022. [PDF]

Awards and Honours

  • (2023) GEH DEINEN WEG Scholarship from Deutschlandstiftung Integration
  • (2023) DAAD RISE Scholarship Offer, declined to accept different internship
  • (2022) Best Poster Award from the German Society of Audology at the DGA Annual Meeting
  • (2022) Scholarship from Studienstiftung des deutschen Volkes
  • (2022) TANDEM-Scholarship from Deutsche Universitätsstiftung
  • (2021) Honour from eLeMeNTe e.V.
  • (2020) National Finalist at the German National Contest for Artificial Intelligence
  • (2019) Award of the German Multimedia Award mb21 age group 16-20

Presentations and Invited Talks

  • (2023) Presentation at European Symposium for Artificial Neural Networks (ESANN)
  • (2023) Invited Speaker at Digitalforum der Wirtschaft Sachsen-Anhalts
  • (2022) Invited Speaker at “Day of the Talents”, German Federal Ministry of Education and Research
  • (2022) Presentation at Annual Meeting of the German Society of Audiology (DGA)
  • (2021) Invited Speaker at Mittelstand-Digital Zentrum Magdeburg