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Personal profile


Murat Kulahci is Professor in the Department of Applied Mathematics and Computer Science,at the Technical University of Denmark and Professor in the Department of Business Administration, Technology and Social Sciences at Luleå University of Technology in Sweden. His research focuses on design of physical and computer experiments, statistical process control, time series analysis and forecasting, and financial engineering. His current research is primarily on large data analytics for descriptive, inferential and predictive purposes. Many of his research applications involve high dimensional, high frequency data demanding analysis methods in chemometrics and machine learning. He has been collaborating with various industries in many Big Data projects and digital manufacturing. He has more than 80 refereed journal articles and 2 books on time series analysis and forecasting. 

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy

Education/Academic qualification

PhD in Industrial Engineering, University of Wisconsin, Madison-USA


MS in Finance, University of Wisconsin, Madison-USA


ME in Chemical Engineering, Illinois Institute of Technology-USA


BS in Industrial Engineering, Bogazici University-Turkey


BS in Chemical Engineering, Bogazici University-Turkey


External positions

Guest Professor, Luleå University of Technology, Sweden


Assistant Professor , Arizona State University-USA


Research Associate, University of Wisconsin-Madison, USA


Quantitative Analyst, State of Wisconsin Investment Board, Madison, WI, USA



  • User defined:
  • Experimental design
  • Design and analysis of simulation and computer experiments
  • Big Data Analytics
  • Financial engineering
  • Time series analysis and forecasting
  • Statistitical process monitoring and control


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Collaborations and top research areas from the last five years

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