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.
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