Daniel Rocha
Research Engineer
Daniel is a researcher engineer in the Nanofabrication for Optoelectronic Applications group at INL where his research is focused on computer vision and machine learning sector for energy applications.
In 2018, obtained a Master degree in Electronics and Computer Engineering from the IPCA, Portugal.
Daniel is also a Guest Assistant Professor at Polytechnic Institute of Cávado and Ave (IPCA), Portugal.
Selected Publications
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Multidefect Detection Tool for Large-Scale PV Plants: Segmentation and Classification
IEEE JOURNAL OF PHOTOVOLTAICS, 2023 -
A Deep Learning Approach for PV Failure Mode Detection in Infrared Images: First Insights
2022 IEEE 49th Photovoltaics Specialists Conference (PVSC), 2022