Tharsika Pakeerathan Srirajan
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Tharsika Pakeerathan Srirajan Department of Business Development and Technology Birk Centerpark 15
Building 8001, room Innovatorium, CET
7400 Herning
Denmark
Research
My research focuses on the utilization of machine learning techniques, particularly explainable AI methods, to accelerate the site assessment process of wind turbine projects. While machine learning and AI are widely employed in the wind energy industry, there is an imbalance in their application across all phases of a wind turbine project’s lifecycle. Consequently, my research targets one of the early phases, specifically the planning phase. By integrating explainable AI techniques with traditional machine learning methods, my aim is to enable more informed decision-making.
Teaching activities
I strive to create an engaging learning environment where students can grasp challenging topics with confidence. I primarily teach Master's courses in Machine Learning and Software Development and supervise Master's theses and semester projects that explore data-driven decision-making, machine learning, and software development. I also contribute to a variety of other courses, where I share how machine learning can offer fresh perspectives within different fields.