Welcome to
Mengaldo's MathEXLab

Mathematical and Computational Lab for Complex Systems

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What we do

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We adopt an interdisciplinary approach for the analysis and forecast of complex systems. Understanding and modeling complex systems require integrating different disciplines with mathematics being the unifying language.

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We are also committed to reproducible, open-source and high-performance software as it is a cornerstone of modern science. All our codes related to scientific publications are freely available at github.com/MathEXLab.

NUS MathEXLab Gianmarco Mengaldo SitesGo Singapore

To cite Galileo Galilei , in Il Saggiatore (1623):
"Philosophy [i.e., natural philosophy or physics] is written in this grand book — I mean the universe — which stands continually open to our gaze, but it cannot be understood unless one first learns to comprehend the language and interpret the characters in which it is written. It is written in the language of mathematics, and its characters are triangles, circles, and other geometrical figures, without which it is humanly impossible to understand a single word of it; without these, one is wandering around in a dark labyrinth. "

NUS MathEXLab Gianmarco Mengaldo SitesGo Singapore

Latest News

Media & Interviews

Watch Prof. Mengaldo’s interview with the Italian Embassy in Singapore, in honor of the Italian Research Day 2024, as he talks about MathExLab’s work, the importance of interdisciplinary research, and its applications to solve for real-world problems.

Italian Research Day 2024
Publish Date
22 April 2024

Interview with Italian Embassy in Singapore

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Gianmarco Mengaldo at Robosoft San Diego
Publish Date
14-17 of April 2024

We are attending RoboSoft in San Diego!

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Deeksha Varshney NUS MathEXLab Gianmarco Mengaldo SitesGo Singapore
Publish Date
New Member

New Research Fellow, Deeksha Varshney

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Research Themes

Discover our projects
NUS MathEXLab Gianmarco Mengaldo SitesGo Singapore

Nonlinear dynamical systems

Lorenz attractor colored by newly developed indices

NUS MathEXLab Gianmarco Mengaldo SitesGo Singapore

Partial differential equations

Large-eddy simulation of a road car via high-order spectral element methods

NUS MathEXLab Gianmarco Mengaldo SitesGo Singapore

Data-driven predictive modeling

Spectral proper orthogonal decomposition of high-resolution ERA5 climate reanalysis data

Our Collaborators

We are supported by a number of grants. We acknolwedge support from Singapore's Ministry of Education (MOE), National University of Singapore (NUS), and Temasek Laboratory at NUS.

Politechnico Italy
Kaust MathEXLab
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