Development of Artificial Intelligence and Machine Learning for Online Perception and Operating Mode Optimization in Process Industry (AIMODE) - Project results

Aug 5, 2026

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Research report summarizing outcomes of the AIMODE project funded by Business Finland and VTT. The work developed artificial intelligence methods to capture and interpret interactions among variables required for improved operational knowledge and performance in process industry settings. The publication compiles project results by topic and provides pointers to where the same results were published in academic papers. Project ran from 09/2022 to 08/2025 and includes participating companies and research institutes.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages15

Reading Time38 min

AccessFree to download

Preface

1. Introduction to the project

2. AIMODE project description

Contents

This document is downloaded from the VTT Research Information Portal [https://cris.vtt.fi](https://cris.vtt.fi) VTT Technical Research Centre of Finland Development of Artificial Intelligence and Machine Learning for Online Perception and Operating Mode Optimization in Process Industry (AIMODE) -Project results Linnosmaa, Joonas; Seppi, Mikko; Zeb, Akhtar; Verma, Nikhil; Freimane, Liva Published: 13/10/2025 Document Version Publisher's final version Link to publication Please cite the original version: Linnosmaa, J. , Seppi, M. , Zeb, A. , Verma, N. , & Freimane, L. (2025) . Development of Artificial Intelligence and Machine Learning for Online Perception and Operating Mode Optimization in Process Industry (AIMODE) -Project results. VTT Technical Research Centre of Finland. VTT Research Report No. VTT-R-00442-25 VTT [https://www.vttresearch.com](https://www.vttresearch.com) VTT Technical Research Centre of Finland Ltd [P.O. box 1000](P.O. box 1000)[ ](P.O. box 1000)[FI-02044 VTT](FI-02044 VTT)[ ](FI-02044 VTT)Finland By using VTT Research Information Portal you are bound by the following Terms & Conditions. I have read and I understand the following statement: This document is protected by copyright and other intellectual property rights, and duplication or sale of all or part of any of this document is not permitted, except duplication for research use or educational purposes in electronic or print form. You must obtain permission for any other use. Electronic or print copies may not be offered for sale. Download date: 15. Feb. 2026 Docusign Envelope ID: 22583CCD-4AAE-45B2-873E-58C830E286D3 RESEARCH REPORT VTT-R-00442-25 Development of Artificial Intelligence and Machine Learning for Online Perception and Operating Mode Optimization in Process Industry (AIMODE)– Project results Authors: Joonas Linnosmaa, Mikko Seppi, Akhtar Zeb, Nikhil Verma, Liva Freimane Confidentiality: VTT Public Version: 13.10.2025 Docusign Envelope ID: 22583CCD-4AAE-45B2-873E-58C830E286D3 RESEARCH REPORT VTT-R-00442-25 1 (13) | Report’s title
Development of Artificial Intelligence and Machine Learning for Online Perception and Operating Mode Optimization in Process Industry (AIMODE)– Project results | | | | --- | --- | --- | | Customer, contact person, address
Business Finland | | Order reference
9650/31/2021 | | Project name
Development of Artificial Intelligence and Machine Learning for Online Perception and Operating Mode Optimization in Process Industry | | Project number/Short name
132628 / BF_AIMODE | | Author(s)
Joonas Linnosmaa, Mikko Seppi, Akhtar Zeb, Nikhil Verma, Liva Freimane | | Pages
13/ | | Keywords
artificial intelligence, process industry, optimization, surrogate model | | Report identification code
VTT-R-00442-25 | | Summary
This report summarises the VTT research project results from Business Finland project called Development of Artificial Intelligence and Machine Learning for Online Perception and Operating Mode Optimization in Process Industry (AIMODE) . Already, during the project, the participating researchers have published their results in academic papers, thus, this report gathers the achieved results by topic and communicates where these results have been published. As such it is a shortcut document to quickly find the project results and point-out where more information can be found. | | | | Confidentiality | VTT Public | | | Espoo 13.10.2025
Written by
Joonas Linnosmaa
Senior Scientist | Reviewed by
Mikko Tahkola
Research Scientist | | | VTT’s contact address
VTT Technical Research Centre of Finland Ltd P.O. Box 1000, FI-02044 VTT, Finland | | | | Distribution (customer and VTT)
VTT Register Office + internet | | | | The use of the name of “VTT” in advertising or publishing of a part of this report is only permissible with written authorisation from VTT Technical Research Centre of Finland Ltd. | |

FAQs

What is the AIMODE project and what does it focus on?

AIMODE is a Business Finland- and VTT-funded project developing AI methods to understand interactions between variables needed for better operational knowledge and performance in process industry.

What period did the project run?

The project started in 09/2022 and ended in 08/2025.

How does the report help readers access project outputs?

It gathers achieved results by topic and communicates where related work has been published in academic papers, serving as a quick lookup for project outcomes.

Aug 5, 2026

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