About us
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.
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.
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.
Our research team is led by Principal Investigator Dr Gianmarco Mengaldo.
Nonlinear dynamical systems:
Lorenz attractor colored by newly developed indices
Partial differential equations:
Large-eddy simulation of a road car via high-order
spectral element methods
Data-driven predictive modeling:
Spectral proper orthogonal decomposition of high-resolution
ERA5 climate reanalysis data
Sponsors
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.
Latest news
Paper accepted in Nature Machine Intelligence on the evaluation of post-hoc interpretability for neural networks in time series classification tasks.
We are participating to SIAM CSE in Amsterdam from 26th Feb to 3rd March.
Looking for a self-motivated, proactive and creative Postdoctoral Fellow to join our group.