# Giulia De Pasquale

**Source**: https://www.tue.nl/en/research/researchers/giulia-de-pasquale
**Parent**: https://www.tue.nl/en/news-and-events/news-overview/12-11-2025-super-powered-ai-from-eindhoven-helps-doctors-identify-cancer-and-other-diseases-more-quickly

Assistant Professor

# Giulia De Pasquale

- [PURE url](https://research.tue.nl/en/persons/giulia-de-pasquale/ "Research Portal")

##### Contact

[g.de.pasquale@tue.nl](#)

[Flux 5.131](https://www.google.com/maps/dir/?api=1&destination=51.447193,5.491892)

##### Department / Institute

[Electrical Engineering](https://www.tue.nl/en/our-university/departments/electrical-engineering)

##### Group

[Control Systems](https://www.tue.nl/en/research/research-groups/control-systems)

[EAISI](https://www.tue.nl/en/research/research-groups/eaisi)

## RESEARCH PROFILE

Her current research interests include modeling, analysis and control of networked socio-technical systems with a special focus on fairness in automated decision making systems.

## ACADEMIC BACKGROUND

Giulia De Pasquale is an Assistant Professor in the Control Systems group at TU Eindhoven since 2025. Before that she was a PostDoc and Lecturer at ETH Zurich.

She took the PhD in Control and Systems Engineering from the University of Padova, Italy,  in 2023.  During PhD, she spent an abroad period as a Visiting Research Scholar at the University of California, Santa Barbara.

She took both the Master Degree in Control Engineering and the Bachelor Degree in Information Engineering from the University of Padova in 2019 and 2017 respectively.  During her Master Degree she took part in the Erasmus program, with a research experience at the Luleå Tekniska Universitet, Sweden, in collaboration with RI.SE.SICS Luleå and ABB Västerås working on system identification for the airflow in datacenters. She also spent six months at ETH Zurich, Switzerland,  working on her Master Thesis.

## Recent Publications

- [See all publications](https://research.tue.nl/en/persons/giulia-de-pasquale//publications/)

- [### Network-aware Recommender System via Online Feedback Optimization

  IEEE Transactions on Automatic Control

  (2026)

  Sanjay Chandrasekaran,Giulia De Pasquale,Giuseppe Belgioioso,Florian Dorfler](https://research.tue.nl/nl/publications/e373eb09-b9c0-4ab9-8296-a17e0a604c6e)
- [### Hypergraph Reconstruction from Dynamics

  Nature Communications

  (2025)

  Robin Delabays,Giulia De Pasquale,Florian Dorfler,Yuanzhao Zhang](https://research.tue.nl/nl/publications/839c6f50-7455-4a4c-a2df-eaf17d16e818)
- [### Optimizing Social Network Interventions via Hypergradient-Based Recommender System Design

  42nd International Conference on Machine Learning, ICML 2025

  (2025)

  Marino Kuehne,Panagiotis G. Grontas,Giulia De Pasquale,Giuseppe Belgioioso,Florian Dörfler,John Lygeros](https://research.tue.nl/nl/publications/481c7c77-917d-43cc-88aa-f8647a720d9a)
- [### Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel

  38th Conference on Neural Information Processing Systems, NeurIPS 2024

  (2024)

  Jialin Li,Marta Zagarowska,Giulia De Pasquale,Alisa Rupenyan,John Lygeros](https://research.tue.nl/nl/publications/5716fe49-5f02-4654-be1b-b6d6eb9ddd7a)
- [### Fairness in Social Influence Maximization via Optimal Transport

  38th Conference on Neural Information Processing Systems, NeurIPS 2024

  (2024)

  Shubham Chowdhary,Giulia De Pasquale,Nicolas Lanzetti,Ana-Andreea Stoica,Florian Dorfler](https://research.tue.nl/nl/publications/574e2687-8812-4e86-87e1-d4d3622d97a6)

## Ancillary Activities

No ancillary activities