Field of Expertise
Machine learning and deep learning for predictive maintenance in engineering systems, with a focus on applying convolutional neural networks (CNNs) to harmonic and frequency-domain data for fault detection and reliability analysis.
Expertise
Experienced in Python, R, C, and C++ programming, with strong proficiency in data analysis and machine learning using libraries such as pandas, scikit-learn, scikit-image and the R's tidyverse ecosystem. Skilled in deep learning with PyTorch, particularly for vision and other applications.