Norwegian version
Employee directory
Tiina Komulainen

Tiina Komulainen

Job title
  • Professor
Visiting address
  • Pilestredet 35, 0166 Oslo
  • Office number: PS531
Phone
  • Mobile: +47 480 84 638
  • Office: +47 672 38 712
E-mail
  • tiina.komulainen@oslomet.no
Affiliation

Field of study

Dynamic simulation   Control technology   Process modeling   Wastewater treatment   Biogas production

Research groups

Research projects

Completed research projects

  • MaxBiogas project

    OsloMet and Veas collaborate to develop digital technologies that can make biogas production more energy-efficient and minimize environmental impact, and increase digital competence in the water industry.

Publications and research

Scientific publications

Mirlekar, Gaurav; Komulainen, Tiina M. ; Rotondo, Damiano; Thorsen, Kristian (2025). The Proceedings of the 66th International Conference of Scandinavian Simulation Society SIMS 2025: Stavanger, Norway, September 22-24, 2025. Elsevier.
https://doi.org/10.1016/s2405-8963(25)02908-8

Komulainen, Tiina M. ; Jansen, Katrine Marsteng (2025). Feasibility of data-driven and mechanistic models for control studies in the Hias Process. IFAC-PapersOnLine. Vol. 59.
https://doi.org/10.1016/j.ifacol.2025.12.176

Komulainen, Tiina M. ; Pörhö, Henri; Baqeri, Abdul Malik; Juuso, Esko; Tomperi, Jani (2025). Comparison of effluent estimation methods for municipal and industrial WRRFs. IFAC-PapersOnLine. Vol. 59.
https://doi.org/10.1016/j.ifacol.2025.12.191

Komulainen, Tiina M. ; Marsteng, Jansen Katrine; Keprate, Arvind (2024). Analysing the Effect of Additional Instrumentation on Prediction of COD Removal in the Hias Process. Lecture Notes in Civil Engineering. Vol. 524.
https://doi.org/10.1007/978-3-031-63353-9_68

Frafjord, Aksel Johan; Radicke, Jan-Philip; Keprate, Arvind ; Komulainen, Tiina (2024). Data-driven approaches for deriving a soft sensor in a district heating network. Energy. Vol. 292.
https://doi.org/10.1016/j.energy.2024.130426

Komulainen, Tiina M. ; Baqeri, A. Malik; Jansen, Katrine M.; Keprate, Arvind (2024). Comparison of ML and ASM models for effluent nutrient estimation in the Hias Process. Linköping Electronic Conference Proceedings.
https://doi.org/10.3384/ecp212.034

Komulainen, Tiina M. ; Baqeri, Abdul Malik; Jansen, Katrine Marsteng; Saltnes, Torgeir; Bech, Axel Tveiten; Korostynska, Olga (2024). Virtual sensors for the Hias process. Water practice and technology. Vol. 19.
https://doi.org/10.2166/wpt.2024.176

Komulainen, Tiina ; Jonassen, Kjell Rune; Antonsen, Simen (2024). Estimation and Control of WRRF Biogas Production. Energies. Vol. 17.
https://doi.org/10.3390/en17235922

Komulainen, Tiina M. ; Baqeri, A. Malik; Nermo, Einar; Keprate, Arvind ; Saltnes, Torgeir; Jansen, Katrine M.; Korostynska, Olga (2023). Estimation of effluent nutrients in municipal MBBR process. Linköping Electronic Conference Proceedings.
https://doi.org/10.3384/ecp200037

Komulainen, Tiina ; Mukhtar, Bilal; Ødegaard, Truls; Johansen, Hilde; Haualand, Kristine; Jonassen, Kjell Rune; Antonsen, Simen (2023). Modeling and control of WRRF biogas production. Linköping Electronic Conference Proceedings.
https://doi.org/10.3384/ecp200027



See all publications


These publications are obtained from Norwegian Research Information Repository. The list may be incomplete.

Research reports

Marcano, Laura; Komulainen, Tiina M. ; Haugen, Finn ; Sannerud, Arne Ronny (2019). On Process Simulation and Learning Technologies. ISBN: 9788272065316. 156 p. Universitetet i Sørøst-Norge/Universitetet i Søraust-Noreg.
https://hdl.handle.net/11250/4423278

Komulainen, Tiina M. ; Sannerud, Ronny (2014). Survey on simulator training in Norwegian oil & gas industry. ISBN: 9788293208570. 27 p. Høgskolen i Oslo og Akershus.
https://hdl.handle.net/11250/3728920



These publications are obtained from Norwegian Research Information Repository. The list may be incomplete.

Dissemination

Komulainen, Tiina M. ; Baqeri, Abdul Malik; Nermo, Einar; Keprate, Arvind ; Saltnes, Torgeir; Jansen, Katrine M.; Korostynska, Olga (2023). Estimation of effluent nutrients in municipal MBBR process. SIMS2023. Scandinavian Simulation Society and Mälardalen University.
https://hdl.handle.net/11250/5038584

Komulainen, Tiina M. ; Mukhtar, Bilal; Ødegaard, Truls; Johansen, Hilde; Haualand, Kristine; Jonassen, Kjell Rune; Antonsen, Simen (2023). Modeling and control of WRRF biogas production. SIMS2023. Scandinavian Simulation Society and Mälardalen University.
https://hdl.handle.net/11250/3409724

Komulainen, Tiina M. (2023). Virtual sensors for nutrient monitoring in biological wastewater treatment process. Nordiwa. Svenskt Vatten.
https://hdl.handle.net/11250/4308296

Henriksen, Leslie; Øfsti, Anders T.; Komulainen, Tiina M. (2022). Matematikk, bakterier og tingenes internett.
https://hdl.handle.net/11250/4021646

Øfsti, Anders T.; Henriksen, Leslie; Komulainen, Tiina M. (2022). Bakterier renser skittent avløpsvann.
https://hdl.handle.net/11250/5022753

Øye, Olav-Johan ; Komulainen, Tiina M. (2022). Bakterier kan rense skittent avløpsvann Matematikk, bakterier og tingenes internett kan bidra til miljøvennlig rensing av forurenset avløpsvann.
https://hdl.handle.net/11250/4907084

Marte, Frimand; Hilde, Johansen; Komulainen, Tiina M. (2020). Kunstig intelligens skal gjøre vannet renere. MediaPlanet Online.
https://hdl.handle.net/11250/4620794

Komulainen, Tiina M. (2019). Model Predictive Control lectures and Matlab exercises. Systeemitekniikka TX00CY39-3001 course. Metropolia University of Applied Sciences.
https://hdl.handle.net/11250/5071952

Komulainen, Tiina M. (2019). Process simulation and learning technologies. Inspirasjons- og delingsseminar HV. OsloMet / Fakultet for Helsevitenskap.
https://hdl.handle.net/11250/5216575

Cameron, David B.; Waaler, Arild; Komulainen, Tiina M. (2018). Oil and Gas digital twins after twenty years. How can they be made sustainable, maintainable and useful?. The 59th Conference on Simulation and Modelling (SIMS 59). Oslo Metropolitan University.
https://hdl.handle.net/11250/5227280



See all publications


These publications are obtained from Norwegian Research Information Repository. The list may be incomplete.
P.O. Box 4, St. Olavs plass
NO-0130 Oslo
Norway
Tel.: +47 67 23 50 00
Contact us