Roberto Souza

Assistant Professor

Department of Electrical and Computer Engineering

PhD in Computer Engineering

University of Campinas (UNICAMP), Brazil (2017)

MSc (Eng) in Computer Engineering

University of Campinas (UNICAMP), Brazil (2014)

BSc (Eng) in Electrical Engineering

Federal University of Pará (UFPA), Brazil (2012)

Contact information


Data Mining and Machine Learning (ENEL 645) – Winter 2021

Preferred method of communication


Research and teaching

Research areas

  • Machine Learning
  • Image Processing
  • Inverse Problems


Roberto Souza is a dual citizen from Brazil and the United States, working as an Assistant Professor at the Electrical and Computer Engineering Department at the University of Calgary, Canada, since July 2020. He has a B.Sc. in electrical engineering from the Federal University of Pará (2012), an M.Sc. (2014) and Ph.D. (2017) both in computer engineering from the University of Campinas (UNICAMP). Before becoming an Assistant Professor, he worked for three years as a postdoctoral scholar at the University of Calgary. He has international experience, having worked as an intern at the Grenoble Institute of Technology, France, and the University of Pennsylvania, United States. Dr. Souza has extensive expertise in image processing and machine learning. His research is currently focused on smart strategies for data integration and data mining. Look at his Google Scholar page for a list of relevant publications.


Souza, R., et al., “Enhanced Deep-learning-based Magnetic Resonance Image Reconstruction by Leveraging Prior Subject-specific Brain Imaging: Proof-of-concept using a Cohort of Presumed Normal Subjects”. IEEE Journal of Selected Topics in Signal Processing, 2020.

Souza, R., et al., “Dual-domain Cascade of U-nets for Multi-channel Magnetic Resonance Image Reconstruction”. Elsevier Magnetic Resonance Imaging, 2020.

Chung, K. J., Souza, R., et al., “Restoration of Lossy JPEG-compressed Magnetic Resonance Brain Images using Cross-domain Neural Networks”, IEEE Signal Processing Letters, 2019.

Lucena, O., Souza, R. et al., “Convolutional Neural Networks for Skull-stripping in Brain MR Imaging using Consensus-based Silver Standard Masks”, Artificial Intelligence in Medicine, 2019.

Souza, R., et al., “An Open, Multi-vendor, Multi-field-strength Brain MR Dataset and Analysis of Publicly Available Skull Stripping Methods Agreement”, NeuroImage, 2017.

Souza, R., et al., “iamxt: Max-tree Toolbox for Image Processing and Analysis”, SoftwareX, 2017. Mendes Jr., P., Souza, R., et al., “Nearest Neighbors Distance Ratio Open-set Classifier”, Machine Learning, 2017.

Souza, R., et al., “A Comparison between k-Optimum Path Forest and k-Nearest Neighbors Supervised Classifiers”. Pattern Recognition Letters, 2014.


2020 Canada Open Neuroscience Platform Research Scholar ($50,000 CAD)

2019 NVIDIA Titan V GPU ($3,000 USD – co-applicant)

2019 AWS Cloud Credits for Research Program ($17,000 USD – co-applicant)

2018 NVIDIA Titan V GPU ($3,000 USD – co-applicant)

2018 T. Chen Fong Postdoctoral Fellowship ($60,000 CAD)

2018 AWS Cloud Credits for Research Program ($5,500 USD)

2017 NSERC CREATE I3T Postdoctoral Fellowship ($20,000 CAD)

2017 Banting Allowance ($5,000 CAD)

2016 UNICAMP Inventor’s Award

2012 Engineering Kawaguchi Award

2012 Electrical Engineering Kawaguchi Award