Paris Papavasileiou

According to our database, Paris Papavasileiou authored at least 5 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Integrating supervised and unsupervised learning approaches to unveil critical process inputs.

Paris Papavasileiou, Dimitrios G. Giovanis, Gabriele Pozzetti, Martin Kathrein, Christoph Czettl, Ioannis G. Kevrekidis, Andreas G. Boudouvis, Stéphane P. A. Bordas, Eleni D. Koronaki

Comput. Chem. Eng., 2025

2024

Hybrid equation-based and Data-Driven Computational Workflows for Analysis and Prediction of Industrial deposition Processes.

Paris Papavasileiou

PhD thesis, 2024

Implementing LLMs in industrial process modeling: Addressing Categorical Variables.

Eleni D. Koronaki, Geremy Loachamín Suntaxi, Paris Papavasileiou, Dimitrios G. Giovanis, Martin Kathrein, Andreas G. Boudouvis, Stéphane P. A. Bordas

CoRR, 2024

Discovering deposition process regimes: leveraging unsupervised learning for process insights, surrogate modeling, and sensitivity analysis.

Geremy Loachamín Suntaxi, Paris Papavasileiou, Eleni D. Koronaki, Dimitrios G. Giovanis, Georgios Gakis, Ioannis G. Aviziotis, Martin Kathrein, Gabriele Pozzetti, Christoph Czettl, Stéphane P. A. Bordas, Andreas G. Boudouvis

CoRR, 2024

2023

Equation-based and data-driven modeling strategies for industrial coating processes.

Paris Papavasileiou, Eleni D. Koronaki, Gabriele Pozzetti, Martin Kathrein, Christoph Czettl, Andreas G. Boudouvis, Stéphane P. A. Bordas

Comput. Ind., August, 2023