Bruno Brandoli

  • PhD in Computer Science
  • Professor at UFMS
  • Department of Computer Science
  • brunobrandoli@gmail.com
Brazilian Lattes CV

Welcome! I am an Associate Professor in the Computer Science department at Federal University of Mato Grosso do Sul, Brazil. My research has lately been focused on the application of computational methods bridging precision agriculture and ecology. I am currently taking part in the Research Network of Agritechnology between Brazil and the UK.

Research Interests

Image Analysis and Computer Vision

Application in Precision Agriculture

Machine Learning

Application in Animal Ecology

Education

2016

Doctorate in Computer Science

in Complex Systems/Computer Vision
ICMC, University of São Paulo (USP)

2010

Master in Computer Science

in Data Analysis and Visualization
ICMC, University of São Paulo (USP)

2007

Bachelor in Computer Engineering

in Computer Vision
Dom Bosco Catholic University (UCDB)

Positions

2016

Associate Professor

Dept. of Computer Science
Federal University (UFMS)

2013

Assistant Professor

Dept. of Computer Science
Federal University (UFMS)

2007

Data Analyst

Tecsinapse

Selected Publications

A smartphone application to measure the quality of pest control spraying machines via image analysis

ACM Multimedia Conference, 2018
Bruno Brandoli et al.

A complex network approach for nanoparticle agglomeration analysis in nanoscale images

Journal of Nanoparticle Research, 2017
Bruno Brandoli et al.

BioLeaf: a professional mobile application to measure foliar damage caused by insect herbivory

Computers and Electronics in Agriculture, 2016
Bruno Brandoli et al.

Mice and larvae tracking using a particle filter with an auto-adjustable observation model

Pattern Recognition Letters, 2010
Hemerson Pistori et al.

Full List of Publications

Awards

2017

Best Doctorate Thesis from the Institute of Mathematical and Computer Science, USP

at ICMC/Unversity of São Paulo, São Carlos. Under supervision of Prof. Jose F. Rodrigues Jr.
http://www.icmc.usp.br

2017

Finalist of the Best Thesis Contest promoted by the Brazilian Computer Society

at Mackenzie University, São Paulo. Under supervision of Prof. Jose F. Rodrigues Jr.
http://www.sbc.org.br

2012

Distinguished Student, São Paulo Advanced School on eScience for Bioenergy

at CNPEM - National Center for Research in Energy and Materials, Campinas.
http://cnpem.br

2010

Young Talent, Advanced School of Computing - SP-ASC

at IME - Institute of Mathematics and Statistics, São Paulo.
https://www.ime.usp.br/en