Bruno Brandoli

  • PhD in Computer Science
  • ICMC, University of São Paulo
  • WILD ANIMAL RECOGNITION
  • NANOPARTICLE ANALYSIS
  • DRUG RESEARCH

Current Research Interests

AI, Deep Learning

Event Detection and Classification

Latest and Selected Publications

Aircraft fuselage corrosion detection using artificial intelligence

Sensors, 2021
Bruno Brandoli et al.
pdf / bibtex

Pay Attention to Evolution - Time Series Forecasting with Deep Graph-Evolution Learning

TPAMI - Transactions on Pattern Analysis and Machine Intelligence, 2021
Gabriel Spadon, S Song, Bruno Brandoli, S Matwin, Jose F.R.-Jr and Jimeng Sun
pdf / bibtex

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

ACM Multimedia Conference, 2018
Bruno Brandoli et al.
pdf / bibtex / project page

A complex network approach for nanoparticle agglomeration analysis in nanoscale images

Journal of Nanoparticle Research, 2017
Bruno Brandoli et al.
pdf / bibtex / project page

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

Computers and Electronics in Agriculture, 2016
Bruno Brandoli et al.
pdf / bibtex / project page

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

Pattern Recognition Letters, 2010
Hemerson Pistori et al.
pdf / bibtex

Full List of Publications

Awards

2017

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

at ICMC/University 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