Alejandro C. Frery received in 1983 the B.Sc. degree in Electronic and Electrical Engineering from the Universidad de Mendoza, Mendoza, Argentina. His M.Sc. degree was in Applied Mathematics (Statistics) from the Instituto de Matemática Pura e Aplicada (IMPA, Rio de Janeiro, 1990) and his Ph.D. degree was in Applied Computing from the Instituto Nacional de Pesquisas Espaciais (INPE, São José dos Campos, Brazil, 1993).

He served as Visiting Researcher at INPE during 1994 and 1995, then he moved to the Universidade Federal de Pernambuco, Recife, Brazil where he was Visiting Professor (1996) and Assistant Professor (1997–2003).

Since 2003 he is full professor at the Universidade Federal de Alagoas, Brazil. He is the leader of LaCCAN – Laboratório de Computação Científica e Análise Numérica. Since 2016 he is the University Vice-President for Research, Graduate Courses, and Innovation.

His research interests are statistical computing and stochastic modeling.

After serving as Associate Editor for more than five years, Prof. Frery is currently Editor in Chief of the IEEE Geoscience and Remote Sensing Letters. Since 2015 he is one of the IEEE Geoscience and Remote Sensing Society Distinguished Lecturers.

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ResearchGate

• Frery, A. C. & Gómez Déniz, L. (2020). A Badging System for Reproducibility and Replicability in Remote Sensing Research. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 4988-4995 [Bibtex]
• Ferral, A., Scavuzzo, C. M., Solorza, R., Marquez, J., Salvia, M., Gómez Déniz, L. et al. (2019). Remote Sensing Spring School in Argentina: SAR for Environmental and Production Monitoring [Education]. IEEE Geoscience and Remote Sensing Magazine, 7(3), 107-109 [Bibtex]
• Santana Cedrés, D., Gómez Déniz, L., Alvarez, L. & Frery, A. C. (2019). Despeckling PolSAR Images With a Structure Tensor Filter. IEEE Geoscience and Remote Sensing Letters, 1-3 [Bibtex] [Online version]
• Gómez Déniz, L., Ospina, R. & Frery, A. C. (2017). Unassisted quantitative evaluation of despeckling filters. Remote Sensing, 9(4), 389 [Bibtex] [Online version]
• Gómez Déniz, L., Alvarez, L., Mazorra Manrique de Lara, L. & Frery, A. C. (2017). Fully PolSAR image classification using machine learning techniques and reaction-diffusion systems. Neurocomputing, 255, 52 - 60 [Bibtex] [Online version]