Bruno Brandoli

  • PhD in Computer Science
  • Professor at UFMS
  • Department of Computer Science
Brazilian Lattes CV

Welcome! I am an Associate Professor in the Computer Science department at Federal University of Mato Grosso do Sul, Brazil. My main research interests are image analysis and computer vision with focus on texture analysis, complex networks and deep learning methods. 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



Doctorate in Computer Science

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


Master in Computer Science

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


Bachelor in Computer Engineering

in Computer Vision
Dom Bosco Catholic University (UCDB)



Associate Professor

Dept. of Computer Science
Federal University (UFMS)


Assistant Professor

Dept. of Computer Science
Federal University (UFMS)


Data Analyst


Selected Publications

A complex network approach for nanoparticle agglomeration analysis in nanoscale images

Journal of Nanoparticle Research, 2017
Bruno Brandoli et al.

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

ACM Multimedia Conference, 2018
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



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.


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.


Distinguished Student, São Paulo Advanced School on eScience for Bioenergy

at CNPEM - National Center for Research in Energy and Materials, Campinas.


Young Talent, Advanced School of Computing - SP-ASC

at IME - Institute of Mathematics and Statistics, São Paulo.