Diego Nieves Avendano

Diego Nieves Avendano is a postdoctoral researcher at Ghent University's Faculty of Engineering and Architecture, affiliated with the Department of Electronics and Information Systems. His work focuses on machine learning applications in predictive maintenance, anomaly detection, and industrial IoT systems.

His research interests span Artificial Intelligence, Signal Processing, and Biomedical Signal Processing, with particular emphasis on Transfer Learning and Modelling & Simulation across mechanical and industrial engineering domains.

Recent publications show a consistent focus on predictive maintenance applications, leveraging Deep Learning and Unsupervised Learning techniques for wind power forecasting, bearing diagnostics, and manufacturing process optimization. His 2024 work on CNN-based wind forecasting and 2023 predictive maintenance architecture demonstrate cross-industry applicability.

While no specific student advising information or scientific awards are documented in the provided texts, his 2018-2024 publications reveal persistent engagement with Industrial Internet of Things technologies, Z-normalization in time series analysis, and Remaining Useful Life estimation algorithms.