Welcome
I am a PhD candidate in Computer Science at the University of Innsbruck, with a focus on Recommender Systems and user-centric evaluation. I like clean code, reproducible research, and minimal, terminal-based workflows.
You can find more information about my research, publications, and projects via the links below.
Recent Publications
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Michael Müller and Amir Reza Mohammadi and Andreas Peintner and Beatriz Barroso Gstrein and Günther Specht and Eva Zangerle (2026). Can Third-Party Annotators Reliably Evaluate Conversational Recommender Systems?. Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2026, Gothenburg, Sweden, June 8-11, 2026, ACM.
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Amir Reza Mohammadi and Andreas Peintner and Michael Müller and Eva Zangerle (2026). Measuring What Matters: Consistency and Compactness in Evaluation of Counterfactual Explanations. ACM Transactions on Recommender Systems, ACM.
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Amir Reza Mohammadi and Andreas Peintner and Michael Müller and Eva Zangerle (2026). Beyond Top-1: Addressing Inconsistencies in Evaluating Counterfactual Explanations for Recommender Systems (Extended Abstract). Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2026 (Sister Conferences Best Papers Track), International Joint Conferences on Artificial Intelligence Organization.