CV

Curriculum vitae of Nafiseh Nikeghbal.

Contact Information

Name Nafiseh Nikeghbal
Professional Title PhD Candidate in Computer Science
Email nafiseh.nikeghbal@tum.de

Professional Summary

PhD candidate in Computer Science at the Technical University of Munich, working on AI safety, societal bias in AI, natural language processing, and computational social science.

Experience

  • 2025 - Present

    Munich, Germany

    Teaching Assistant — Practical Course (NLP, Network Science, ML & AI)
    Technical University of Munich
    For M.Sc. students.
    • Designed and supervised team projects in natural language processing, network science, machine learning, and AI, guiding students from problem formulation through implementation and evaluation.
  • 2024 - Present

    Munich, Germany

    Teaching Assistant — Quantitative Methods
    Technical University of Munich
    For M.Sc. students.
    • Covers descriptive and inferential statistics for data analysis, combining theory with hands-on practice in R and Python — summarizing data, conducting hypothesis tests, and applying statistical analyses.

Education

  • 2024 - Present

    Munich, Germany

    Ph.D. Candidate
    Technical University of Munich (TUM)
    Computer Science
    • Advisor: Prof. Dr. Jana Diesner, Chair of Human-Centered Computing.
    • Research on AI safety, societal bias in AI, NLP, and computational social science.
  • 2021 - 2023

    Tehran, Iran

    M.Sc.
    Sharif University of Technology (SUT)
    Computer Engineering
    • Ranked 2nd in M.Sc. cumulative GPA among Software Engineering students (2021 cohort).
  • 2016 - 2021

    Mashhad, Iran

    B.Sc.
    Ferdowsi University of Mashhad (FUM)
    Computer Engineering
    • Ranked in the top 10% of B.Sc. cumulative GPA (2016 cohort).

Honors and Awards

  • 2024
    Ranked 2nd in M.Sc. cumulative GPA (Software Engineering, SUT)

    2nd among 23 Software Engineering students and 6th among 136 Computer Engineering students (2021 cohort) at Sharif University of Technology.

  • 2022
    Top 10% in B.Sc. cumulative GPA (FUM)

    Among Computer Engineering students (2016 cohort) at Ferdowsi University of Mashhad.

  • 2021
    Ranked 54th in the Iranian nationwide university entrance exam

    Computer Engineering, competing against 14,582 candidates.

Skills

Programming Languages: Python, Java, C
Libraries & Frameworks: PyTorch
Tools: Git, LaTeX

Languages

Persian : Native
English : Professional working proficiency
German : A1

Interests

Research: AI Safety, Societal Bias in AI, Natural Language Processing, Computational Social Science

References

  • Prof. Dr. Jana Diesner

    Chair of Human-Centered Computing, Technical University of Munich — jana.diesner@tum.de

  • Prof. Abbas Heydarnoori

    Department of Computer Engineering, Sharif University of Technology — heydarnoori@sharif.edu