معرفی
Nicola Ferro is a Researcher in the Department of Molecular Sciences and Nanosystems at Ca' Foscari University of Venice, specializing in numerical analysis and computational mathematics. He actively contributes to teaching and research, with a strong focus on numerical methods for PDEs, optimization, and mesh adaptation.
His research interests lie at the intersection of applied mathematics and engineering, particularly in numerical methods for partial differential equations, topology optimization, mesh adaptation, and their applications in biomedical engineering, solid mechanics, and sustainable technologies. His work bridges theoretical developments with real-world applications in medical devices and environmental monitoring.
The recent publications highlight a consistent trend in computational modeling, particularly in developing advanced numerical techniques for biomedical applications (e.g., vascular stents) and data-efficient simulation (e.g., mesh adaptation and data compression). His research integrates high-performance computing with multiphysics modeling to solve complex engineering challenges.
- Editor’s Choice (2024) for a paper in Mathematical and Computational Applications
- PhD Olympiad Winner (2021) – ECCOMAS Congress
- Research Scholarship (2021) – Istituto Nazionale di Alta Matematica (INdAM)
- Research Scholarship (2020) – Fondazione Fratelli Confalonieri
- Premio Cercignani (2016) – Best Master's Thesis in Computational Science and Engineering, Politecnico di Milano
Nicola Ferro has secured multiple research grants, including as Principal Investigator in GNCS INdAM projects (2023, 2025) and the Finanziamento Giovani Ricercatori (2019). He is involved in national projects such as PRIN P2022JLNPJ (RESET) and PRIN 20204LN5N5, and collaborates with industry partners like Thales Alenia Space Italia. He mentors students and contributes to academic service as a guest editor and reviewer for top journals.
He is part of a vibrant research group focused on computational mathematics and numerical methods, collaborating closely with researchers such as Simona Perotto, Umberto Morbiducci, and Claudio Chiastra. His work is embedded in interdisciplinary teams tackling challenges in biomedical engineering and sustainable technology development.
