Roberto Gheda

PhD student in Machine Learning and Network Science
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About Me

I am Roberto Gheda, PhD student at TU Delft. My research interest spans across graph theory, security and fairness in machine learning, and bayesian networks. I have been working along companies such as ASML and KPN. Feel free to reach out to me for any collaboration opportunity!

For more details about my research and publications, check out my blogposts.

Education

TU Delft, The Netherlands

03/2025 - Present

PhD, Machine Learning and Network Science

Advisors: Prof. Lydia Chen, Prof. Maksim Kitsak

TU Delft, The Netherlands

09/2022 - 01/2025

Master of Science in Computer Science

Advisor: Prof. Lydia Chen
Thesis: "Collaborative and Confidential Junction Trees for Hybrid Bayesian Networks"

University of Trento, Italy

09/2019 - 07/2022

Bachelor of Science in Computer Science

Advisor: Prof. Marco Roveri
Thesis: "Integration of PlanSys2 for a fleet of Automated Guided Vehicles".

Industry Collaboration

Amsterdam, The Netherlands

04/2026 - Present

CWI Amsterdam

Provably forgery-resistant watermarking.

Delft, The Netherlands

03/2025 - Present

KPN

Secure Data Sharing for Networks.

Veldhoven, The Netherlands

02/2024 - 01/2025

ASML

Federated diagnostics of semiconductor manufacturing processes with Bayesian Networks.