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Justinas Smertinas is a PhD student at the Technical University of Denmark, focusing on active research areas that contribute to the UN Sustainable Development Goals. His expertise includes Non-Parametric Estimation, Characteristic Extraction of Energy Systems, and Grey-Box Modeling within the context of Machine Learning. With a strong interest in delivering insights through data analysis and understanding service usage, Justinas is engaged in projects aimed at enhancing information extraction and report generation. He is looking to contribute significantly to the academic community through his ongoing research and collaboration with various projects.
Technical University of Denmark • Kgs. Lyngby, Denmark
Engaged in a PhD process focusing on data extraction, insights generation, and understanding service usage with an emphasis on research topics related to sustainability and machine learning.
This requirement applies generally across Technical University of Denmark (DTU) MSc programs including Computer Science, Applied Mathematics, and Engineering disciplines. Specific prerequisites vary by department/curriculum.