PhD Candidate
E-mail: chiara.novelli@ulb.be
Location: Av. Franklin Roosevelt 50
Career Summary:
Chiara Novelli has been pursuing a PhD at ULB since 2023 within the Marie Curie project ENCODING. My research focuses on developing digital twins for combustion systems using data-driven machine learning techniques such as Gaussian Process Regression (GPR) and Neural Networks, combined with data from CFD simulations. She is a PhD student in Combustion at ULB as part of the ENCODING project and a visiting researcher at Universidad Politécnica de Madrid (UPM). Chiara Novelli obtained her Master’s degree in Chemical Engineering from the University of Pisa in 2023, graduating with a score of 110/110. In 2019, she completed an internship at Acque Industriali, where she worked on the chemical treatment of industrial wastewater.
Main Research Topics and Interests:
- Development of digital twins for combustion systems fuelled by synthetic fuels
- Leveraging reduced-order modelling
- Data assimilation to accurately predict combustion dynamics
- Low-emission
- Ammonia combustion
- Clustering
- Synthetic fuels
Involvement in Projects:
- ENCODING
- COST Action CYPHER
- Princeton-Combustion Institute Summer School on Combustion and the Environment
Involvement in Meetings:
2025:
- 12th European Combustion Meeting - Edinburgh, Scotland, UK
- CYPHER 2nd General Meeting
WG3 / WG4 Meeting