Curriculum Vitae
Download CV (PDF)Education
- PhD in Computer ScienceUniversity of Innsbruck · Innsbruck, AustriaThesis: Sequential Recommendation: A Graph-based Perspective. Advisor: Eva Zangerle, PhD.
- MSc in Computer ScienceUniversity of Innsbruck · Innsbruck, AustriaThesis: Acceleration and Compression of Deep Click-Through Rate Prediction Models. Advisor: Eva Zangerle, PhD.
- BSc in Computer ScienceUniversity of Innsbruck · Innsbruck, AustriaThesis: Lowering the Barrier of Cyber Attacks through Information Shared on Security Experts Forums. Advisor: Clemens Sauerwein, PhD.
Experiences
- AI Engineering Leaddoc2me (formerly femble) · Innsbruck, AustriaLeading AI engineering at a content platform that connects healthcare brands with expert creators. Building agentic AI that turns raw expert recordings into polished, publish-ready videos.
- Assistant TeacherUniversity of Innsbruck · Innsbruck, AustriaTeaching Database Systems and Machine Learning. Supervising student projects, homework, and lab presentations.
- Data Science InternMARS · Verden, GermanyInstance segmentation with deep learning. Developed web applications to interact with deployed models. 1st place at internal hackathon for pet age prediction.
- Software DeveloperSPEED U UP · Innsbruck, AustriaVoice assistant applications (Alexa Skills & Google Actions), natural language processing, web development, and iOS development with Swift.
Publications
Beyond Top-1: Addressing Inconsistencies in Evaluating Counterfactual Explanations for Recommender Systems (Extended Abstract)
Authors: Amir Reza Mohammadi, Andreas Peintner, Michael Müller, Eva Zangerle
Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-26), Sister Conferences Best Papers • 2026
Measuring What Matters: Consistency and Compactness in Evaluation of Counterfactual Explanations
Authors: Amir Reza Mohammadi, Andreas Peintner, Michael Müller, Eva Zangerle
ACM Transactions on Recommender Systems • 2026
Minimal-Perturbation Counterfactuals through Guided Denoising Diffusion for Recommender Systems Explanation
Authors: Amir Reza Mohammadi, Andreas Peintner, Michael Müller, Eva Zangerle
Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval • 2026
Can Third-Party Annotators Reliably Evaluate Conversational Recommender Systems?
Authors: Michael Müller, Amir Reza Mohammadi, Andreas Peintner, Beatriz Barroso Gstrein, Günther Specht, Eva Zangerle
Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization • 2026
On the Reliability of User-Centric Evaluation of Conversational Recommender Systems
Authors: Michael Müller, Amir Reza Mohammadi, Andreas Peintner, Beatriz Barroso Gstrein, Günther Specht, Eva Zangerle
arXiv preprint arXiv:2602.17264 • 2026
Efficient Session-based Recommendation with Contrastive Graph-based Shortest Path Search
Authors: Andreas Peintner, Amir Reza Mohammadi, Eva Zangerle
ACM Transactions on Recommender Systems • 2025
Sequential Recommendation – A Graph-based Perspective (PhD Thesis)
Authors: Andreas Peintner
University of Innsbruck, Department of Computer Science • 2025
Beyond Top-1: Addressing Inconsistencies in Evaluating Counterfactual Explanations for Recommender Systems
Authors: Amir Reza Mohammadi, Andreas Peintner, Michael Müller, Eva Zangerle
Proceedings of the Nineteenth ACM Conference on Recommender Systems • 2025🏆 Best Short Paper Award
Quantitative Assessment of GNN Counterfactual Explanation Robustness and Reproducibility under Adversarial Influence
Authors: Amir Reza Mohammadi, Michael Müller, Andreas Peintner, Beatriz Barroso Gstrein, Eva Zangerle, Günther Specht
36th GI-Workshop Grundlagen von Datenbanken (GvDB 2025) • 2025
Yearning for Better Metrics: Revisiting the ReDial Dataset for Evaluating Conversational Recommender Systems
Authors: Michael Müller, Amir Reza Mohammadi, Andreas Peintner, Beatriz Barroso Gstrein, Eva Zangerle, Günther Specht
36th GI-Workshop Grundlagen von Datenbanken (GvDB 2025) • 2025
Nuanced Music Emotion Recognition via a Semi-Supervised Multi-Relational Graph Neural Network
Authors: Andreas Peintner, Marta Moscati, Yu Kinoshita, Richard Vogl, Peter Knees, Markus Schedl, Hannah Strauss, Marcel Zentner, Eva Zangerle
Transactions of the International Society for Music Information Retrieval (8) • 2025
Hypergraph-based Temporal Modelling of Repeated Intent for Sequential Recommendation
Authors: Andreas Peintner, Amir Reza Mohammadi, Michael Müller, Eva Zangerle
Proceedings of the ACM on Web Conference 2025 • 2025
Unternehmensleitung in der Aktiengesellschaft und Künstliche Intelligenz
Authors: Simon Ewerz, Andreas Peintner
wbl - Wirtschaftsrechtliche Blätter 2024, 697 • 2024
Are We Explaining the Same Recommenders? Incorporating Recommender Performance for Evaluating Explainers
Authors: Amir Reza Mohammadi, Andreas Peintner, Michael Müller, Eva Zangerle
Proceedings of the 18th ACM Conference on Recommender Systems • 2024
Emotion-Based Music Recommendation from Quality Annotations and Large-Scale User-Generated Tags
Authors: Marta Moscati, Hannah Strauß, Peer-Ole Jacobsen, Andreas Peintner, Eva Zangerle, Marcel Zentner, Markus Schedl
Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization • 2024
SPARE - Shortest Path Global Item Relations for Efficient Session-based Recommendation
Authors: Andreas Peintner, Amir Reza Mohammadi, Eva Zangerle
Proceedings of the 17th ACM Conference on Recommender Systems • 2023
Sequential Recommendation Models - A Graph-based Perspective
Authors: Andreas Peintner
Proceedings of the 17th ACM Conference on Recommender Systems • 2023
Unsupervised Graph Embeddings for Session-based Recommendation with Item Features
Authors: Andreas Peintner, Marta Moscati, Emilia Parada-Cabaleiro, Markus Schedl, Eva Zangerle
CARS: Workshop on Context-Aware Recommender Systems (RecSys ’22) • 2022
Advances in and the Applicability of Machine Learning-Based Screening and Early Detection Approaches for Cancer: A Primer
Authors: Leo Benning, Andreas Peintner, Lukas Peintner
Cancers • 2022
Recognizing Song Mood and Theme: Clustering-based Ensembles
Authors: Maximilian Mayerl, Michael Vötter, Andreas Peintner, Günther Specht, Eva Zangerle
Working Notes Proceedings of the MediaEval 2021 Workshop • 2021
Automated spheroid generation, drug application and efficacy screening using a deep learning classification: a feasibility study
Authors: Leo Benning, Andreas Peintner, Günter Finkenzeller, Lukas Peintner
Scientific Reports • 2020