Personal profile
Research interests
My research interests cover a wide range of topics in applied and computational mathematics, mostly related to multiscale modeling and numerical methods for phenomena described by nonlinear partial differential equations, in particular hyperbolic and mean-field/kinetic equations. These problems have been addressed using different methodologies in various fields of applied sciences and scientific computing, ranging from classical physics and engineering (fluid dynamics, rarefied gases, semiconductors, plasma physics, granular materials, quantum mechanics) to socio-economic and life sciences (traffic flow, opinion formation, wealth distribution, finance, epidemiology, hemodynamics). Recently, my interests have focused on problems of uncertainty quantification, optimal control, global optimization and machine learning.
Biography
Lorenzo Pareschi is Chair of Applied and Computational Mathematics at the School of Mathematics, Heriot-Watt University, Edinburgh UK. He received his Ph.D. in Mathematics from the University of Bologna, Italy, and subsequently helds visiting professorships at the Georgia Institute of Technology, Atlanta, USA, the University of Wisconsin-Madison, USA, the University of Orléans, France, and the University of Toulouse, France. He is Professor of Numerical Analysis and served as Head of the Department of Mathematics and Computer Science at the University of Ferrara, Italy. Lorenzo was awarded as Nelder Fellow at the Imperial College, London, UK, in 2015, John von Neumann Professor at the Technical University of Munich, Germany, in 2019 and Wolfson Fellow of the Royal Society in 2023. He is currently member of the steering committee of the Italian Society for Industrial and Applied Mathematics (SIMAI), and member of the Committee for Applications and Interdisciplinary Relations (CAIR) of the European Mathematical Society (EMS). He served as associate editor for several international journals among which Multiscale Modeling and Simulation, and SIAM Journal on Scientific Computing. The results of his research activity are reported in more than 200 scientific publications and 5 books.
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Collaborations and top research areas from the last five years
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A data augmentation strategy for deep neural networks with application to epidemic modelling
Awais, M., Ali, A. S., Dimarco, G., Ferrarese, F. & Pareschi, L., Mar 2026, In: Bollettino dell'Unione Matematica Italiana. 19, 1, p. 87-103 17 p.Research output: Contribution to journal › Article › peer-review
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Augmented data and neural networks for robust epidemic forecasting: Application to COVID-19 in Italy
Dimarco, G., Ferrarese, F. & Pareschi, L., 9 Jan 2026, In: Mathematical Biosciences and Engineering. 23, 2, p. 474-498 25 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Downloads (Pure) -
Robust feedback control of collisional plasma dynamics in presence of uncertainties
Albi, G., Dimarco, G., Ferrarese, F. & Pareschi, L., 1 Feb 2026, In: Journal of Computational Physics. 546, 114512.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Conservative Polynomial Approximations and Applications to Fokker–Planck Equations
Laidin, T. & Pareschi, L., Apr 2025, In: SIAM Journal on Scientific Computing. 47, 2, p. A1279-A1303 25 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile13 Downloads (Pure) -
Emerging properties of the degree distribution in large non-growing networks
Franceschi, J., Pareschi, L. & Zanella, M., Aug 2025, In: Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. 481, 2319, 20240682.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Link opens in a new tab Citation (Scopus)32 Downloads (Pure)
Prizes
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Royal Society Wolfson Fellowship
Pareschi, L. (Recipient), 2 Oct 2023
Prize: Fellowship awarded competitively
Press/Media
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Professor Lorenzo Pareschi receives prestigious Advanced Grant from the Italian Science Fund (FIS)
10/03/25
1 Media contribution
Press/Media: Research
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