Erasmo Purificato

Otto von Guericke University Magdeburg. Universitätsplatz 2, 39106 Magdeburg, Germany
Leibniz Institute for Educational Media | Georg Eckert Institute. Freisestraße 1, 38118 Brunswick, Germany

Based in Magdeburg

I am a Research Assistant and a Ph.D. student at the Faculty of Computer Science of the Otto von Guericke University Magdeburg (OVGU), working with Prof. Dr.-Ing. Ernesto W. De Luca in the Human-Centred Artificial Intelligence research group. Starting from the analysis of the fairness capabilities of state-of-the-art user profiling Graph Neural Network-based models, my doctoral research focuses on presenting innovative human-centred approaches for bias detection and mitigation on this specific domain and technological architectures, by also providing ways for monitoring the results via novel explainable user interfaces, which are a crucial concept of any Human-Centred Artificial Intelligence (HCAI) system.

I am also employed as a Research Fellow in the Human-Centred Technologies for Educational Media department of the Leibniz Institute for Educational Media | Georg Eckert Institute (GEI), where I co-coordinate the development of the institute’s Usability Lab and am involved in the establishment of a systematic user monitoring process for the digital infrastructures and services.

Before I joined OVGU and GEI, I worked for three as an IT Consultant at Blue Reply with project management and AI systems development roles. Previously, I received my Bachelor and Master degree in Computer Engineering at University of Naples and a 2nd level Master degree in Artificial Intelligence at University of Turin.

I’m a technology enthusiast and a great football passionate.
My life is marked by Muhammad Ali’s quote “Impossible is nothing”.



The pre-print version of our article “User Modeling and User Profiling: A Comprehensive Survey” has been released on arXiv (Link).


Our tutorial “Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Emerging Trends” (Website) has been accepted at UMAP 2024.


Attending AIxIA 2023 for presenting our discussion paper “Recent Advances in Fairness Analysis of User Profiling Approaches in E-Commerce with Graph Neural Networks”.


Attending CIKM 2023 for presenting our tutorial “Leveraging Graph Neural Networks for User Profiling: Recent Advances and Open Challenges” (check the website).