Research Assistant — Methodology & Statistics, Utrecht University
AI · Machine Learning · Statistics · Optimization · Data Analysis
- 🔭 I work as a Research Assistant in the Methodology & Statistics department at Utrecht University
- 🧠 My recent work is on Machine Learning and AI.
- 🎓 I hold an M.Sc. in Industrial Engineering — Systems Optimization and a B.Sc. in Applied Mathematics
- 📊 My background spans machine learning, data analysis, statistics, and mathematical optimization.
- 🇳🇱 Based in Utrecht — praat Nederlands met me! 😉
| Project | Description | Links |
|---|---|---|
| LLM/ AI | ACL 2025 (GeBNLP) paper: how much do annotator demographics vs. content drive labeling decisions, and can persona-prompted LLM annotators match human judgments? | Paper · arXiv · Project page |
| ADS-AI Course Dashboard | R Shiny dashboard for exploring 3,600+ data science course records at Utrecht University | Live app · Code |
| GCLSC-CE | Bi-objective MINLP models with NSGA-II for a green closed-loop supply chain with cannibalization effects | Code |
| GCLSC | Green closed-loop supply chain design for tire remanufacturing under uncertainty (ε-constraint + Grasshopper Optimization) | Code · Paper |
| LAIP | Bi-objective location–allocation–inventory optimization in a dual-channel supply chain | Code · Paper |
| Personal website | Portfolio with resume, projects, publications, and certificates | tina-shahedi.github.io |
- Mohammadi, H., Shahedi, T., Mosteiro, P., Poesio, M., Bagheri, A., & Giachanou, A. (2025). Assessing the Reliability of LLMs Annotations in the Context of Demographic Bias and Model Explanation. Proceedings of the 6th Workshop on Gender Bias in NLP (GeBNLP), ACL 2025, pp. 92–104. DOI
- Novel Approaches in Financial Fraud Detection: Hybrid Machine Learning and Uncertainty-Based Deep Learning. ResearchGate
- Rezaei, A., Shahedi, T., Aghsami, A., Jolai, F., & Feili, H. (2021). Optimizing a bi-objective location-allocation-inventory problem in a dual-channel supply chain network with stochastic demands. RAIRO – Operations Research, 55(5), 3245–3279. DOI
- Shahedi, T., Aghsami, A., & Rabani, M. (2021). Designing a green closed-loop supply chain network for the automotive tire industry under uncertainty. Journal of Industrial and Systems Engineering, 13(4), 226–261. Article
If your work overlaps with mine — AI, ML, Applied Data Science, or Optimization — I'd love to hear from you.
