Presenters and Speakers
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Programme committeePresenters dashboardSpeakersPostersGuhan velupillai Gowthaman Malarvizhi
Software Development Engineer - Machine Learning, FormFactor Inc
Biography
Guhan Velupillai Gowthaman Malarvizhi is a Master's graduate in Embedded Systems from the Technical University of Chemnitz. He was a Master thesis student at Fraunhofer IWES in Bremerhaven, Germany, where he worked on a project focused on optimizing wind turbine operation and maintenance using machine learning techniques. His work contributed to the development of a machine learning-based method for predicting the mass imbalance of wind turbines, which has significant implications for the wind energy sector. Guhan is passionate about machine learning and its potential to drive innovation in various fields. He strongly believes that incorporating technology and machine learning can help to address some of the world's most serious challenges and contribute to the development of sustainable solutions.Presentations
- Monitoring, modelling condition and lifetime
Machine Learning-Based Prediction of Mass Imbalance in Wind Turbines: A Key Step Towards Optimizing Operation and Maintenance
Posters
- Machine Learning-Based Prediction of Mass Imbalance in Wind Turbines: A Key Step Towards Optimizing Operation and Maintenance
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