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Xiufeng Liu is a researcher affiliated with the Technical University of Denmark. He has a PhD from Aalborg University, Denmark, awarded in 2012. Liu's research primarily focuses on Smart Meter Data Analytics, Data Warehousing, and Big Data, with an emphasis on aligning these areas with the United Nations Sustainable Development Goals. His work aims to contribute to educational and developmental efforts in the context of sustainable energy solutions. He has held external positions including research scientist at IBM Canada and postdoctoral researcher at the University of Waterloo. Liu's active projects include the Semantic 3D Energy Model for Integrated Photovoltaics Systems and OPTIX: Optimising Positive-Energy Districts. He has participated in various conferences and workshops related to big data and smart city analytics, contributing both as a speaker and organizer. Liu's work is recognized in several collaborative projects that enhance energy predictions and optimize transport through digital platforms.
IBM Canada • Canada
Engaged in research for enhancing smart meter analytics and data warehousing.
University of Waterloo • Canada
Focused on smart grid technologies and data analytics.
Åbo Akademi University • Finland
Conducted research in energy systems and data analytics.
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.