Marco Viola is Assistant Professor in Mathematics at DCU. He got a MSc in Mathematics from University of Naples Federico II and a PhD in Operations Research from Sapienza University of Rome.
He held positions as Post-doctoral Researcher and then Assistant Professor at the University of Campania "L. Vanvitelli" until January 2023. From January 2023 to August 2024 he was Assistant Professor in Applied and Computational Mathematics at University College Dublin, before moving to Dublin City University in September 2024.
Peer Reviewed Journal
| Year | Publication | |
|---|---|---|
| 2025 | Campagna, R.; Crisci, S.; Santin, G.; Toraldo, G.; Viola, M. (2025) 'An algorithm for a constrained P-spline'. BIT Numerical Mathematics, 65 . [Link] [DOI] | |
| 2025 | Landi, G.; Viola, M.; Zama, F. (2025) 'A Scaled Gradient Projection method for the realization of the balancing principle in TGV-based image restoration'. Computational Optimization and Applications, 91 . [Link] [DOI] | |
| 2024 | Crisci, S.; Rebegoldi, S.; Toraldo, G.; Viola, M. (2024) 'Barzilai–Borwein-like rules in proximal gradient schemes for ℓ1-regularized problems'. Optimization Methods and Software, . [Link] [DOI] | |
| 2023 | Serena Crisci; Valentina DE SIMONE; Marco Viola (2023) 'On the Adaptive Penalty Parameter Selection in ADMM'. Algorithms, . [Link] [DOI] | |
| 2023 | Antonelli, L.; De Simone, V.; Viola, M. (2023) 'Cartoon-texture evolution for two-region image segmentation'. Computational Optimization and Applications, . [Link] [DOI] | |
| 2023 | Serafino, D.D.; Krejić, N.; Jerinkić, N.K.; Viola, M. (2023) 'LSOS: LINE-SEARCH SECOND-ORDER STOCHASTIC OPTIMIZATION METHODS FOR NONCONVEX FINITE SUMS'. Mathematics of Computation, . [Link] [DOI] | |
| 2023 | Daniela di Serafino; William W. Hager; Gerardo Toraldo; Marco Viola (2023) 'On the stationarity for nonlinear optimization problems with polyhedral constraints'. Mathematical Programming, Series B, . [Link] [DOI] | |
| 2022 | De Simone, V.; di Serafino, D.; Gondzio, J.; Pougkakiotis, S.; Viola, M. (2022) 'Sparse Approximations with Interior Point Methods'. SIAM Review, . [Link] [DOI] | |
| 2021 | di Serafino, D.; Toraldo, G.; Viola, M. (2021) 'Using gradient directions to get global convergence of Newton-type methods'. Applied Mathematics and Computation, . [Link] [DOI] | |
| 2021 | Di Serafino, D.; Landi, G.; Viola, M. (2021) 'Directional tgv-based image restoration under poisson noise'. Journal of Imaging, . [Link] [DOI] | |
| 2020 | di Serafino, D.; Landi, G.; Viola, M. (2020) 'ACQUIRE: an inexact iteratively reweighted norm approach for TV-based Poisson image restoration'. Applied Mathematics and Computation, . [Link] [DOI] | |
| 2020 | (2020) 'A subspace-accelerated split Bregman method for sparse data recovery with joint $\ell_1$-type regularizers'. Electronic Transactions on Numerical Analysis, . [Link] [DOI] | |
| 2019 | Viola, M.; Sangiovanni, M.; Toraldo, G.; Guarracino, M.R. (2019) 'Semi-supervised generalized eigenvalues classification'. Annals of Operations Research, . [Link] [DOI] | |
| 2018 | DI Serafino, D.; Toraldo, G.; Viola, M.; Barlow, J. (2018) 'A two-phase gradient method for quadratic programming problems with a single linear constraint and bounds on the variables'. SIAM Journal on Optimization, . [Link] [DOI] | |
| 2017 | Viola, M.; Sangiovanni, M.; Toraldo, G.; Guarracino, M.R. (2017) 'A generalized eigenvalues classifier with embedded feature selection'. Optimization Letters, . [Link] [DOI] |
Conference Publication
| Year | Publication | |
|---|---|---|
| 2025 | Martínez, Á.; Viola, M.; Yousefi, M. (2025) Combined First- and Second-Order Directions for Deep Neural Networks Training [Link] [DOI] | |
| 2024 | Sanguin, G.; Pakrashi, A.; Viola, M.; Rinaldi, F. (2024) Exploring the Potential of Bilevel Optimization for Calibrating Neural Networks [Link] | |
| 2023 | Antonelli, L.; De Simone, V.; Viola, M. (2023) Segmenting MR Images Through Texture Extraction and Multiplicative Components Optimization [Link] [DOI] | |
| 2021 | Di Serafino, D.; Landi, G.; Viola, M. (2021) Proceedings - 2021 21st International Conference on Computational Science and Its Applications, ICCSA 2021 TGV-based restoration of Poissonian images with automatic estimation of the regularization parameter [Link] [DOI] | |
| 2020 | di Serafino, D.; Toraldo, G.; Viola, M. (2020) A Gradient-Based Globalization Strategy for the Newton Method [Link] [DOI] | |
| 2018 | Dostál, Z.; Toraldo, G.; Viola, M.; Vlach, O. (2018) Proportionality-based gradient methods with applications in contact mechanics [Link] [DOI] | |
| 2016 | Liberini, M.; Esposito, S.; Reshad, K.; Previtali, B.; Viola, M.; Squillace, A. (2016) Development of an innovative method to predict and to characterize the performances of Ti-6Al-4V LBW joints [Link] [DOI] | |
| 2016 | Guarracino, M.R.; Sangiovanni, M.; Severino, G.; Toraldo, G.; Viola, M. (2016) On the regularization of generalized eigenvalues classifiers [Link] [DOI] |
Book Chapter
Certain data included herein are derived from the © Web of Science (2025) of Clarivate. All rights reserved.
Employment
Research Interests
Current research is mainly focused on the development of nonlinear optimization methods with applications to the solution of problems arising from Machine Learning, Deep Learning and Image Processing applications.