Projects per year
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Jerker Björkqvist
- Faculty of Science and Engineering, Information Technology - Professor
- Technologies for a Sustainable Future
- Data-driven green transition in industry
- High performance, energy efficient algorithms and low emission computing platforms for artificial intelligence and machine learning
Person: Academic
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Sebastien Lafond
- Faculty of Science and Engineering, Information Technology - Professor
Person: Academic
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Andreas Lundell
- Faculty of Science and Engineering, Information Technology - Associate Professor (tenure track)
- Data-driven green transition in industry
- High performance, energy efficient algorithms and low emission computing platforms for artificial intelligence and machine learning
- Mission critical software systems
Person: Academic
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DAZE: Data Analytics for Zero Emission Marine
Björkqvist, J. (Principal Investigator), Lundell, A. (Co-Principal Investigator) & Böling, J. (Co-Principal Investigator)
01/09/23 → 31/08/26
Project: Industry/Business Finland
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Algorithms and Software for Large-Scale Optimization
Lundell, A. (Principal Investigator), Björkqvist, J. (Co-Investigator), Olama, A. (Participant) & Blomqvist, J. (Participant)
01/09/23 → 30/06/26
Project: Foundation
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DDSM: Data-Driven Sustainability Management
Björkqvist, J. (Principal Investigator), Lundell, A. (Co-Principal Investigator) & Sell, A. (Co-Principal Investigator)
01/05/23 → 31/01/26
Project: Industry/Business Finland
Publications
- 1 Published conference proceeding
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Benchmarking Large Language Models for Reputational Risk Assessment in Supply Chains: A Case Study
Davoodi, L., Salimi, S., Jyote, A. K., Mezei, J. & Ginter, F., Jul 2025, 29th International Symposium on Logistics (2025). Potter, A., Pawar, K. S., Kalverkamp , M. & Rogers , H. (eds.). University of Nottingham, p. 272-279Research output: Chapter in Book/Conference proceeding › Published conference proceeding › Scientific › peer-review
Open Access
Datasets
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SODD – Subaquatic Object Detection Dataset
Imam, H. M. A. (Creator), Basso, E. A. (Creator), Hoff, S. A. (Creator), Rexha, H. (Creator), Lafond, S. (Creator) & Iancu, B. (Creator), Zenodo, 30 Nov 2023
Dataset