Software

SUMO Lab has developed (or contributed to) software tools for efficient and accurate modeling, simulation, and optimization of complex physical systems, with applications in different fields of science and engineering, such as electronics, photonics, mechanics, physics, automotive, aviation, etc.

Our software has been successfully used by academic and business partners worldwide.


- Surrogate modeling

SUrrogate MOdeling (SUMO)

Matlab Surrogate Modeling Toolbox

More information | Download

ooDACE

Matlab Kriging Toolbox

More information | Download

Trieste

Python toolbox for Bayesian optimization

More information | Download


- Health care 

ECGEncode

Deep learning feature encoder for ECG signals

Overview


- Macromodeling

Fast, Relaxed Vector Fitting (VF3)

Matlab code (vectfit3) for Rational macromodeling

Download

Complex Vector Fitting (CVF)

Matlab code for Rational macromodeling

Download


- Active learning

Sequential Experimental Design (SED)

Matlab Sequential Experimental Design Toolbox

More information | Download

ALBATROS

Adaptive Line-Based Sampling Trajectories for Sequential Measurements

Download


- Datasets 

Radar

Activity and event recognition using compact radar devices

Overview