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Arghya Bhowmik is an Associate Professor engaged in research focusing on Machine Learning and its application to materials science, particularly in simulating matter at electronic atomic scales. His contributions align with the UN Sustainable Development Goals, emphasizing advancements in technology for sustainable development. Over recent years, he has led several projects involving computational design of materials, deep generative models, and catalysis, collaborating with PhD students and other researchers. He has also presented his findings at various conferences, enhancing the dialogue on renewable energy and electrochemical conversion technologies. His work significantly contributes to the understanding of advanced materials and their functionalities, focusing on innovative approaches to material design and sustainable applications.
Danish Technical University • Kgs. Lyngby, Denmark
Teaching and researching in the field of Materials Science, focusing on computational techniques and machine learning applications.
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.