Research Summary

PostDoc Research


My postdoctoral research at University of Luxembourg - SnT focuses on the trustworthiness of artificial intelligence systems, with particular emphasis on explainability, robustness, and generalization capabilities of machine learning algorithms.

PhD Research


My PhD research at Orange Innovation focused on developing artificial intelligence techniques for anomaly detection on time series and root cause diagnosis of low-latency applications used over time-varying capacities network (4G/5G, WiFi).

Research interests


  • Explainable AI (XAI) for VLMs
  • Trustworthy AI
  • Machine Learning Robustness
  • Anomaly Detection for Time Series
  • Tabular Data
  • Low-Latency Applications

Research Service


Program Commitee Member

  • PC Member for European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases: ECML PKDD 2026

Conference/Journal Reviewing

Conferences

  • Reviewer for IEEE/ACM International Conference on Automated Software Engineering: ASE 2025
  • Reviewer for European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases: ECML PKDD 2025
  • Reviewer at IEEE Symposium on Computers and Communications: ISCC 2024, ISCC 2023
  • Reviewer at IEEE International Conference on Communications: ICC 2023, ICC 2022

Journal

  • Reviewer for Computer Networks: ComNets 2026
  • Reviewer for IEEE Transactions on Network and Service Management: TNSM 2025

Scientific dissimination


Conference

Seminar