Mike Pereira

Post doc at Automatic Control

I am a postdoctoral researcher within the project STONE, which is carried out jointly by the Division of Applied Mathematics and Statistics in the Department of Mathematical Sciences and the Automatic Control Group within the Department of Electrical Engineering. The goal of the project is to use stochastic partial differential equations to model traffic flows and to estimate parameters based on data from real measurements.

My research areas are primarily spatial and computational statistics. But I also have strong interests in Machine Learning, graph theory and stochastic partial differential equations, and how these domains can foster new approaches to deal with spatial data.

Source: chalmers.se
Image of Mike Pereira

Showing 3 publications

2021

Traffic Reaction Model

Gyorgy Liptak, Mike Pereira, Balázs Adam Kulcsár et al
Preprint
2020

A matrix-free approach to geostatistical filtering

Mike Pereira, Nicolas Desassis, Cédric MAGNERON et al
Preprint

Download publication list

You can download this list to your computer.

Filter and download publication list

As logged in user (Chalmers employee) you find more export functions in MyResearch.

You may also import these directly to Zotero or Mendeley by using a browser plugin. These are found herer:

Zotero Connector
Mendeley Web Importer

Showing 2 research projects

2021–2024

Efficient approximation methods for random fields on manifolds

Annika Lang Applied Mathematics and Statistics
Mike Pereira Automatic Control
Erik Jansson Applied Mathematics and Statistics
Swedish Research Council (VR)

2020–2022

STOchastic Traffic NEtworks (STONE)

Annika Lang Applied Mathematics and Statistics
Balázs Adam Kulcsár Automatic Control
Pinar Boyraz Baykas Crash Analysis and Prevention
Mike Pereira Applied Mathematics and Statistics
Chalmers AI Research Centre (CHAIR)
Chalmers

There might be more projects where Mike Pereira participates, but you have to be logged in as a Chalmers employee to see them.