Publications

Selected Research Work

Publications and workshop papers across recommender systems, knowledge graphs, fairness, and AI for education.

Discover Artificial Intelligence, Springer Nature, 2026

Large language model enhanced embeddings for knowledge aware recommender systems

A two-phase framework using LLMs to construct and enrich knowledge graphs, then inject semantic embeddings into recommender models.

Open Publication

XAI.it 2024, co-located with AIxIA 2024

A Comprehensive Strategy to Bias and Mitigation in Human Resource Decision Systems

Study of bias sources, fairness definitions, mitigation strategies, and trade-offs in automated HR decision systems.

Open Publication

MAAI4AIED, Festival of Learning 2026

When Multimodal Features Do Not Improve Fairness in Learning Systems

Research on fairness behavior in learning systems when multimodal features are introduced.

Link can be added in app/portfolio-data.ts.

ACM UMAP 2026 Workshop

A Comprehensive Evaluation Framework for Multi-Level Bias Analysis in Graph-Based Personalization Systems

Framework for analyzing multi-level bias in graph-based personalization and recommender systems.

Link can be added in app/portfolio-data.ts.