
I am an assistant professor at Johannes Kepler University - JKU. Prior to it, I was a post doctoral researcher at Idiap Research Institute (affiliated with EPFL), and a PhD candidate at TU Wien. I explore deep learning methods in natural language processing and information retrieval, with a focus on fairness and algorithmic bias mitigation.
Contact
Univ. Ass., Dr. Navid Rekab-saz
Assistant Professor
Publications
Peer-Reviewed Journal and Conference Papers
Oleg Lesota,
Stefan Brandl,
Matthias Wenzel,
Alessandro B. Melchiorre,
Elisabeth Lex,
Navid Rekab-saz,
Markus Schedl
Exploring Cross-group Discrepancies in Calibrated Popularity for Accuracy/Fairness Trade-off Optimization
Proceedings of the 2nd Workshop on Multi-Objective Recommender Systems co-located with 16th {ACM} Conference on Recommender Systems (RecSys 2022), Seattle, WA, USA, 18th-23rd September 2022, 2022