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Murat Külahci is a Professor at the Technical University of Denmark in the Department of Applied Mathematics and Computer Science and holds a position in the Department of Business Administration and Technology Social Sciences at Luleå University of Technology in Sweden. His research primarily focuses on designing physical computer experiments, statistical process control, time series analysis, and forecasting. Külahci specializes in large data analytics for descriptive, inferential, and predictive purposes, particularly in high-dimensional and high-frequency data. He has contributed significantly to projects involving machine learning and Big Data, collaborating with industries for advancements in digital manufacturing. Külahci has authored over 80 refereed journal articles and two books in the field of time series analysis and forecasting. He holds a PhD in Industrial Engineering from the University of Wisconsin, Madison, and has held several academic positions, including guest professorships and research roles at various institutions.
Technical University of Denmark • Kgs. Lyngby
Leading research in applied mathematics and computer science.
Luleå University of Technology • Luleå, Sweden
Engaging in academic collaboration and research.
Arizona State University • USA
Teaching and conducting research in engineering.
University of Wisconsin-Madison • USA
Conducting research in industrial engineering.
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.