Personal information

Remote Sensing, Deep Learning, Digital Image Processing
Peru, Brazil, Germany

Biography

Ph.D. and M.Sc. in Electrical Engineering, with focus on Digital Image Processing of Satellite Imagery, from Pontifical Catholic University of Rio de Janeiro (PUC-Rio) in 2019 and 2014, respectively. Graduated in Mechanical and Electrical Engineering at the National University of Engineering (UNI) in 2010. I have a vast experience in research projects in the areas of Machine Learning, Deep Learning, Computer Vision and Remote Sensing applied for Image Classification, Semantic Segmentation and Object Detection.

Activities

Employment (1)

Institute of Geodesy and Photogrammetry IGP, TU Braunschweig: Braunschweig, Lower Saxony, DE

2021-12-06 to present | Researcher (Architecture, Civil Engineering and Environmental Sciences)
Employment
Source: Self-asserted source
Pedro Achanccaray

Education and qualifications (4)

Consejo Nacional de Ciencia y Tecnología e Innovación Tecnológica: Lima, PE

2019-10-01 to 2021-10-01 | Investigador RENACYT (Grupo Carlos Monge Medrano - Nivel III)
Qualification
CÓDIGO RENACYT: P0017977
Source: check_circle
CONCYTEC
grade
Preferred source (of 2)‎

Pontifícia Universidade Católica do Rio de Janeiro: Rio de Janeiro, RJ, BR

2014-03-12 to 2019-01-30 | Ph.D. (Electrical Engineering)
Education
Source: Self-asserted source
Pedro Achanccaray

Pontifícia Universidade Católica do Rio de Janeiro: Rio de Janeiro, RJ, BR

2012-03-08 to 2014-05-09 | M.Sc. (Electrical Engineering)
Education
Source: Self-asserted source
Pedro Achanccaray

Universidad Nacional de Ingenieria: Lima, Lima, PE

2005-05-02 to 2010-12-10 | B.Sc. (Mechanical Engineering)
Education
Source: Self-asserted source
Pedro Achanccaray

Professional activities (1)

FAPERJ: Rio de Janeiro, Rio de Janeiro, BR

2013-03 | Bolsa Nota 10
Distinction
Source: Self-asserted source
Pedro Achanccaray

Peer review (6 reviews for 2 publications/grants)

Review activity for Ecological informatics. (2)
Review activity for Journal of photogrammetry, remote sensing and geoinformation science. (4)