During her PhD studies, Wenyue Ma explored fairness-aware graph mining, addressing how to make network-based algorithms equitable across tasks like influence maximization, resource allocation, and graph representation. Wenyue introduced new measures and methods to prevent bias against groups and individuals, balancing fairness and efficiency under real-world constraints, with validated solutions showing impact across diverse applications. The PhD study was completed at the Department of Computer Science, Faculty of Natural Sciences, Aarhus University.

This summary was prepared by the PhD student.

Time: Friday, 29th November 2024 at 15:00
Place: Building 5355, room 295, Nygaard Møderum, Department of Computer Science, Aarhus University, Åbogade 34, 8200 Aarhus N, Denmark.
Title of PhD thesis: Fairness-aware Graph Mining
Contact information: Wenyue Ma, e-mail: wenyuema@cs.au.dk, tel.: +45 91 82 03 00
Members of the assessment committee:
Associate Professor Michael Mathioudakis, Department of Computer Science, University of Helsinki, Finland
Associate Professor Yan Zhao, Department of Computer Science, Aalborg University, Denmark.
Associate Professor Hans-Jörg Schulz (chair), Department of Computer Science, Aarhus Universitet, Danmark
Main supervisor:
Professor Panagiotis Karras, Department of Computer Science, Aarhus University, Denmark
Language: The PhD dissertation will be defended in English

The defence is public. The PhD thesis is available for reading at the Graduate School of Natural Sciences/GSNS, Ny Munkegade 120, building 1521, 8000 Aarhus C