20002020

Research output per year

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Personal profile

Profile

Murat Kulahci is an Associate Professor in the Department of Applied Mathematics and Computer Science,at the Technical University of Denmark and a 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. 

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Research Output

Experiences with big data: Accounts from a data scientist’s perspective

Kulahci, M., Frumosu, F. D., Khan, A. R., Rønsch, G. Ø. & Spooner, M. P., 1 Jan 2020, (Accepted/In press) In : Quality Engineering.

Research output: Contribution to journalJournal articleResearchpeer-review

On monitoring industrial processes under feedback control

Capaci, F., Vanhatalo, E., Palazoglu, A., Bergquist, B. & Kulahci, M., 1 Jan 2020, (Accepted/In press) In : Quality and Reliability Engineering International. 18 p.

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File
2 Downloads (Pure)

Discussion on “Søren Bisgaard’s contributions to Quality Engineering

Kulahci, M., 2 Jan 2019, In : Quality Engineering. 31, 1, p. 154-156

Research output: Contribution to journalComment/debateResearchpeer-review

Discussion on “Søren Bisgaard’s contributions to Quality Engineering: Design of experiments”

Kulahci, M., 2019, In : Quality Engineering. 31, 1, p. 149-153

Research output: Contribution to journalJournal articleResearchpeer-review

Outliers detection using an iterative strategy for semi-supervised learning

Frumosu, F. D. & Kulahci, M., 1 Jan 2019, In : Quality and Reliability Engineering International. 16 p.

Research output: Contribution to journalJournal articleResearchpeer-review

Projects

Activities

  • 1 Guest lectures, external teaching and course activities at other universities

Introduction to Applied Statistics with R for PhD Students

Anders Stockmarr (Lecturer), , Bjarne Kjær Ersbøll (Lecturer), , Elisabeth Wreford Andersen (Guest lecturer), , Murat Kulahci (Lecturer), , Andreas Baum (Lecturer), , Camilla Thyregod (Other), & Jesper Fink Andersen (Other)

9 Jun 201730 Jun 2017

Activity: Talks and presentationsGuest lectures, external teaching and course activities at other universities