Daniel Rocha

Daniel Rocha is a Guest Assistant Professor at the Polytechnic Institute of Cávado and Ave (IPCA), Portugal, and a researcher engineer in the Nanofabrication for Optoelectronic Applications group at INL. His work focuses on applying computer vision and machine learning to energy applications, particularly in photovoltaics. He holds a Master's degree in Electronics and Computer Engineering from IPCA (2018).

Research Interests: Daniel's research integrates advanced computational techniques with renewable energy systems, emphasizing defect detection in photovoltaic (PV) plants and failure mode analysis using deep learning. His work addresses challenges in large-scale PV plant maintenance and optoelectronic system optimization through interdisciplinary approaches.

Publications: His recent work includes developing multidefect detection tools for PV plants and exploring infrared image analysis for PV failure prediction. These studies highlight trends in applying AI-driven methods to renewable energy infrastructure.

Lab/Team Affiliation: Daniel contributes to INL's Nanofabrication group, focusing on optoelectronic applications with practical industry relevance.