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Deena Francis is an Assistant Professor at the Technical University of Denmark, focusing on various research domains contributing to the UN Sustainable Development Goals (SDGs). Her expertise encompasses key areas such as Machine Learning, Artificial Intelligence (AI), Scalability, and Time Series Analysis. She actively collaborates on projects that analyze seabed environmental impacts and develop innovative solutions in liquid-phase sensing. Currently, she is the principal investigator for projects related to Machine Learning applications in monitoring beehives. With a robust academic background, Deena has participated in multiple research initiatives aimed at understanding and improving environmental and service usability aspects through advanced technological methods.
Technical University of Denmark • Ballerup, Denmark
Conducting research and teaching in areas related to Machine Learning and AI.
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.