John Bagterp Jørgensens forsker i beregningsmetoder og algoritmer til model prædiktiv regulering, optimering og simulering. Resultaterne udvikles ofte i tæt samarbejde med industri- og erhvervs-virksomheder. Algoritmerne bruges bl.a. til styring af cementfabrikker. Algoritmerne har brede anvendelsesmuligheder og bruges konkret til at forbedrede olieudvindingsgraden i Nordsøen samt i en kunstig bugspytkirtel til mennesker med sukkersyge.

CV

Education

1997 - 2005 PhD - Technical University of Denmark
1991 - 1997 M.Sc. - Technical University of Denmark

Academic grades

PhD

M.Sc. (Eng)

Professional experience

2005 - Assistant Professor (DTU) - Technical University of Denmark, Informatics and Mathematical Modelling
2003 - CEO, Partner - 2-control ApS
2001 - 2003 CTO, Partner - 2-control ApS
1997 - 2001 PhD Student - Technical University of Denmark, Department of Chemical Engineering

Languages

Danish, English, German

Expertise

Model Predictive Control Numerical Optimization Numerical Solution of Differential Equations Dynamic Optimization System Identification State Estimation Process Modelling Process Optimization

International experience

Department of Chemical Engineering, NTNU, Trondheim, 1994

Department of Chemical Engineering, University of Wisconsin-Madison, 2000

 

 

Other information

Nordic Energy Research Award, 1994

My files

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Publications

(319)

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  • IFAC-PapersOnLine

    ISSNs: 2405-8963

    Elsevier, Denmark

    Scopus rating (2016): CiteScore 0.45 SJR 0.263 SNIP 0.334

    Local database

    Journal

  • Journal of Process Control

    ISSNs: 0959-1524

    Additional searchable ISSN (Electronic): 1873-2771

    Elsevier Ltd, United Kingdom

    BFI (2017): BFI-level 1, Scopus rating (2016): CiteScore 3.41 SJR 1.21 SNIP 2.241, ISI indexed (2013): ISI indexed yes, Web of Science (2017): Indexed Yes

    Central database

    Journal

  • Journal of Diabetes Science and Technology

    ISSNs: 1932-2968

    Sage Publications, Inc., United States

    BFI (2017): BFI-level 1, Scopus rating (2016): CiteScore 2.14 SJR 0.804 SNIP 1.124, ISI indexed (2013): ISI indexed no, Web of Science (2017): Indexed yes

    Central database

    Journal

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