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Distributed and Self-organizing Systems
Sheeba Samuel
Sheeba Samuel | Distributed and Self-organizing Systems
 

Personal Information

Name: Dr.-Ing. Sheeba Samuel
Room: 1/B203
Phone: +49 371 531 39355
Email: sheeba.samuel@informatik.tu-chemnitz.de
Personal website: https://sheeba-samuel.github.io/

Publications

Full list of publications available here: Google Scholar, dblp

  1. Jan Haas, Martin Gaedke, Sheeba Samuel, Jeffrey Kelling (2025): Conference Paper “ResearchFlow: An End-User Development Approach to Research Data Management Workflow Composition”
  2. Christoph Göpfert, Sheeba Samuel, Martin Gaedke (2025): Conference Paper “ShEx2SPARQL: Translating Shape Expressions into SPARQL Queries”
  3. Christoph Göpfert, Sheeba Samuel, Martin Gaedke (2025): Workshop Paper “Facilitating RDF Querying in Research Data Management through ShEx-Based SPARQL Query Construction”
  4. Sheeba Samuel, Daniel Mietchen (2024): Journal Article “FAIR Jupyter: A Knowledge Graph Approach to Semantic Sharing and Granular Exploration of a Computational Notebook Reproducibility Dataset”
  5. Jan Haas, Sheeba Samuel, Martin Gaedke (2024): Conference Paper “Facilitating End-User Development of Websites with Micro-Frontends”
  6. Christoph Göpfert, Sheeba Samuel, Martin Gaedke (2024): Conference Paper “A Method for Integrating Heterogeneous Data into a Knowledge Graph”

Current Students

  1. Shweta Kadam: Masterarbeit (2026) “Design and Evaluation of an LLM-Based Natural Language Interface for Environmental Geospatial Platforms (Case Study: Bavarian Environmental Atlas)”.
  2. Madhvik Lakhamanbhai Bhalani: Masterarbeit (2026) “A LLM-based approach for mining reproducibility information from scholarly publications”.
  3. Md Rafsan Jany Chowdhury: Masterarbeit (2026) “A web-based solution for metatda management in Jupyter Notebooks”.
  4. Haris Iqbal: Masterarbeit (2026) “Continuous Reproducibility Service for Scientific Publications”.
  5. Klea Haxhiu: Masterarbeit (2026) “Automatic FAIRness Assessment of Research Software using AI”.
  6. Nishit Rasikbhai Satodiya: Masterarbeit (2026) “AI-Assisted Knowledge Graph Construction for Deep Learning Models”.
  7. David Keci: Masterarbeit (2026) “Extending Jupyter Notebook Reproducibility Analysis to Non-GitHub Repositories (Codeberg, Zenodo)”.
  8. Erisa Zaimi: Masterarbeit (2026) “Integrating Open Large Language Models into the Jupyter Notebook Reproducibility Pipeline”.
  9. Muhammad Ibtisam Tanveer: Masterarbeit (2026) “AI-Driven Transparent Repair of Software Dependency Configurations”.
  10. Sajani Joshi: Masterarbeit (2026) “Automated Extraction of Reproducibility Information for Climate Action Research”.
  11. Priyanka Jadhav: Masterarbeit (2026) “Deep Dependency Analysis of Python Packages for Improved Software Reliability and Reproducibility”.
  12. Khushi Rajesh Zope: Masterarbeit (2026) “Explainable AI for FAIRness recommendations in research software”.

Advised Projects

  1. Jungsan Kim: Masterarbeit (2025) “Developing a Tool for Automating Reproducibility Assessments for Repositories”.
  2. Hemanta Lo: Masterarbeit (2025) “The role of Docker in Computational Reproducibility of Jupyter Notebooks from Scholarly Publications PubMed Central”.

Teaching Activities

  • Lecture “Current Trends in Web Engineering”
  • Lecture “XML”
  • Planspiel (Business Simulation) “Web Engineering”
  • Tutorial “Current Trends in Web Engineering”
  • Seminar “Web Engineering”