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lorenzo.liverani@univie.ac.at
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Employment

University Assistant (Postdoc)
2026 – Today
University of Vienna, Research Group on Applied Mathematics and Modeling
Assistant Professor (Akademischer Rat auf Zeit)
2025 – 2026
FAU Erlangen-Nürnberg, Chair for Dynamics, Control, Machine Learning and Numerics
Humboldt Postdoctoral Fellow
2024 – 2025
FAU Erlangen-Nürnberg, Chair for Dynamics, Control, Machine Learning and Numerics
Supervisor: Prof. Enrique Zuazua
Postdoctoral Researcher
2023 – 2024
University of Milano-Bicocca
Supervisor: Prof. Veronica Felli

Education

Visiting PhD Student
May 2022
Universitat Politècnica de Catalunya
PhD, Mathematical Models and Methods in Engineering
2019 – 2023
Politecnico di Milano
Thesis title: Stability of Differential Systems of Moore-Gibson-Thompson Type
Ph.D. Supervisor: Vittorino Pata
Master, Mathematics (joint curriculum with SISSA)
2017 – 2019
University of Trieste
Supervisor: Stefano Bianchini
Final grade: 110/110 cum laude
Bachelor, Mathematical Engineering
2014 – 2017
Politecnico di Milano
Final grade: 110/110 cum laude

Grants and Awards

2025
DAAD Project (co-PI)
Co-PI for the DAAD project 57818329 "Control and numerical analysis of complex systems" for the 2026-2027 biennium, in collaboration with the Federal Fluminense University of Rio de Janeiro (Grant ∼ 35000€).
2025
AFOSR Grant (co-PI)
Grant from the Air Force Office for Scientific Research (USA), for the organization of the workshop "Machine Learning and PDEs", held at FAU Erlangen in April 2025 (Grant ∼ 8000€).
2024
Alexander von Humboldt Fellowship for Postdocs (PI)
Two-year fully funded fellowship awarded by the Alexander von Humboldt foundation to support young researchers in Germany.
2020
GNAMPA Project Grant
Rapid decay of solutions of hyperbolic equations with memory effects. Other members: M. Conti, S. Gatti, V. Pata, F. Dell'Oro.
2017
SISSA Scholarship
Competitive fellowship for joint program with University of Trieste. The main selection procedure consists in an entrance examination, written and oral.
2014
Best Freshman Award
Merit based award for the most talented freshmen enrolled in Politecnico di Milano in 2014-15. Main criteria: GPA.
2014-2017
Full scholarship
Merit based scholarship for the most talented students enrolled in Politecnico di Milano and residing out of town. Main criteria: GPA.

Organizational and Project Activities

Machine Learning and PDEs II
2026
Member of the Organizing Committee for the second installment of the workshop Machine Learning and PDEs, held in Erlangen from June 22nd to June 24th, 2026.
FAU MoD Research Centre
2025 – 2026
Member of the Steering Board.
Machine Learning and PDEs
2025
Member of the Organizing Committee for the workshop Machine Learning and PDEs, held in Erlangen from April 28th to April 30th, 2025.
Reading Group "Learning Rate"
2024 – 2025
Main organizer of the reading group focused on topics related to Machine Learning, shared between FAU and the University of Madrid.
GIM Seminars
2021
One of the organizers of the "Graduate Inter-University Math Seminars" (GIMS), a series of biweekly online seminars directed at PhD students.

Teaching

Teaching Assistant for Mathematics for Engineers I and II
2025 – 2026
FAU Erlangen-Nürnberg
Lecturer for Mathematics for Engineers III
2024 – 2025
FAU Erlangen-Nürnberg
Tutor for Equazioni Differenziali (B.Sc. Civil Engineering)
2023
Politecnico di Milano
Teaching Assistant
2019 – 2024
Politecnico di Milano
Analisi 1 (B.Sc. Civil Engineering), one academic year; and Analisi 1 (B.Sc. Mathematical Engineering), four academic years.
Lecturer for the intensive course "Introduction to MATLAB and Simulink"
November 2022
Politecnico di Milano

Supervision Experience

Enhanced Kinematic Robot Calibration: Integrating Advanced Improvement Methods
June 2025
by A.M.T. (M.Sc. Computational Engineering, FAU). In collaboration with Neura Robotics.
A Machine Learning approach to the Stochastic Dynamic Vehicle Routing Problem
April 2026
by M.S. (M.Sc. Computational and Applied Mathematics, FAU).
An overview of modern Continual Learning techniques
August 2026
by S.N.S. (M.Sc. Computational and Applied Mathematics, FAU).

Talk and Conference Presentations (Selected)

June 2026
EZ 65: Control, PDEs and Machine Learning (Bilbao, Spain)
Generalization, Expressivity and Neural ODEs
January 2026
Seminari di Analisi Matematica (Salerno, Italy)
Taxonomy of Neural ODEs
September 2025
FAU MoD Lecture Series (Erlangen, Germany)
HYCO: Hybrid-Cooperative Modeling for PDE Learning
July 2025
ICCOPT (Los Angeles, United States)
SA-NODEs and the Universal Approximation of Dynamical Systems
June 2025
Trends in the Mathematical Sciences (Rio de Janeiro, Brazil)
Stability of Hyperbolic PDEs with non-symmetric relaxation
February 2025
AICOMAS (Paris, France)
SA-NODEs and applications to Model Predictive Control
September 2024
Young Researchers Meeting on PDEs (Milan, Italy)
Spectral stability for the Neumann Laplacian in domains with small holes
August 2024
X Partial differential equations, optimal design and numerics (Benasque, Spain)
Abstract Damped Wave Equation: the optimal decay rate
December 2021
Recent Advances in Analysis, PDEs and Applications (Milan, Italy)
Stability of coupled dissipative/antidissipative systems
September 2021
Partial Differential Equations of Mathematical Physics and Applications (Como, Italy)
On the Moore-Gibson-Thompson equation with memory with nonconvex kernels
September 2021
3 Days on Evolution PDEs (Urbino, Italy)
On the Moore-Gibson-Thompson equation with memory with nonconvex kernels

Research Publications

Journal Articles
18 Di Primio, A., & Liverani, L. (2026). Large-time asymptotics of the regularized Moore-Gibson-Thompson equation with Gurtin-Pipkin thermal law. Discrete and Continuous Dynamical Systems - S.
17 Li, Z., Liu, K., Liverani, L., & Zuazua, E. (2026). Universal approximation of dynamical systems by semiautonomous neural ODEs and applications. SIAM J. Numer. Anal., 64(1), 193–223.
16 Crin-Barat, T., Liverani, L., Shou, L.-Y., & Zuazua, E. (2025). Large-time asymptotics for hyperbolic systems with non-symmetric relaxation: An algorithmic approach. Journal de Mathématiques Pures et Appliquées, 202, 103757.
15 Dell'Oro, F., Liverani, L., Pata, V., & Quintanilla, R. (2025). Global attractors for Moore–Gibson–Thompson thermoelastic extensible beams and Berger plates. Nonlinear Analysis: Real World Applications, 84, 104298.
14 Dell'Oro, F., Liverani, L., Pata, V., & Quintanilla, R. (2025). On the double Moore–Gibson–Thompson system of thermoviscoelasticity. Studies in Applied Mathematics, 154(1), e12784.
13 Felli, V., Liverani, L., & Ognibene, R. (2025). Quantitative spectral stability for the Neumann Laplacian in domains with small holes. J. Funct. Anal., 288(6), Paper No. 110817.
12 Liverani, L., Mammeri, Y., Pata, V., & Quintanilla, R. (2025). On the linearized Whitham-Broer-Kaup system on bounded domains. Proc. Roy. Soc. Edinburgh Sect. A, 155(1), 104–123.
11 Bazarra, N., Fernández, J. R., Liverani, L., & Quintanilla, R. (2024). Analysis of a thermoelastic problem with the Moore-Gibson-Thompson microtemperatures. J. Comput. Appl. Math., 438, Paper No. 115571, 20.
10 Antonietti, P. F., Liverani, L., & Pata, V. (2023). Lack of superstable trajectories in linear viscoelasticity: A numerical approach. Numer. Math., 153(4), 611–633.
9 Conti, M., Liverani, L., & Pata, V. (2023). On the Moore-Gibson-Thompson equation with memory with nonconvex kernels. Indiana Univ. Math. J., 72, 1–27.
8 Dell'Oro, F., Liverani, L., & Pata, V. (2023). On the regularized Moore-Gibson-Thompson equation. Discrete Contin. Dyn. Syst. Ser. S.
7 Conti, M., Dell'Oro, F., Liverani, L., & Pata, V. (2022). Spectral analysis and stability of the Moore-Gibson-Thompson-Fourier model. J. Dynam. Differential Equations.
6 Conti, M., Liverani, L., & Pata, V. (2022). Correction to "Thermoelasticity with antidissipation". Discrete Contin. Dyn. Syst. Ser. S, 15, 2429–2431.
5 Conti, M., Liverani, L., & Pata, V. (2022). On the optimal decay rate of the weakly damped wave equation. Commun. Pure Appl. Anal., 21, 3421–3424.
4 Conti, M., Liverani, L., & Pata, V. (2022). Thermoelasticity with antidissipation. Discrete Contin. Dyn. Syst. Ser. S, 15, 2173–2188.
3 Liverani, L., & Quintanilla, R. (2022). Thermoelasticity with temperature and microtemperatures with fading memory. Math. Mech. Solids, 28, 1255–1273.
2 Conti, M., Liverani, L., & Pata, V. (2021). A note on the energy transfer in coupled differential systems. Commun. Pure Appl. Anal., 20, 1821–1831.
1 Conti, M., Liverani, L., & Pata, V. (2021). The MGT-Fourier model in the supercritical case. J. Differential Equations, 301, 543–567.

Collaborators

My research is carried out in collaboration with a number of colleagues across several institutions. At FAU Erlangen-Nürnberg I work with Enrique Zuazua and, on machine-learning topics, with Antonio Álvarez-López, as well as with Alexander Keimer (Universität Rostock) and Hossein Nick Zinat Matin (École Polytechnique) on nonlocal conservation laws. My work on partial differential equations is developed together with Vittorino Pata and Filippo Dell'Oro (Politecnico di Milano), Timothée Crin-Barat (FAU Erlangen-Nürnberg, now Université de Toulouse), and Ramón Quintanilla (Universitat Politècnica de Catalunya). On spectral stability I collaborate with Veronica Felli and Roberto Ognibene (Milano-Bicocca), and on hybrid modelling of brain dynamics with Daniel Lopez-Montero (FAU Erlangen-Nürnberg) and Xenia Kobeleva (Ruhr-Universität Bochum).

Commissions of Trust

I have served as a referee for several international journals, including Journal of Differential Equations, Numerische Mathematik, Neural Networks, Journal of Dynamics and Differential Equations, Pure and Applied Analysis, Asymptotic Analysis, and Annals of Mathematical Physics.