Pauliina Salmi
Contact search available for JYU staff members. Web page: https://sites.google.com/view/pauliinasalmi ORCID link: https://orcid.org/0000-0003-3247-2259 ResearchGate address: https://www.researchgate.net/profile/Pauliina-Salmi |
General description
I am a researcher-group leader, and I am interested in remote sensing and technological applications in monitoring and protecting natural resources. I am also interested in teaching and mentoring, as they are key factors in the formation of new innovations and expertise.
Active JYU affiliations
- Faculty of Information Technology, Academy Research Fellow
Previous, inactive or other affiliations
- Department of Biological and Environmental Science (University of Jyväskylä), Grant Researcher, Ended
- Faculty of Information Technology (University of Jyväskylä), Postdoctoral Researcher, Ended
- Faculty of Information Technology (University of Jyväskylä), Postdoctoral Researcher, Ended
- Department of Biological and Environmental Science (University of Jyväskylä), Grant Researcher, Ended
- Open University (University of Jyväskylä), Part-Time Teacher, Ended
Research interests
My research focuses on the application of computational methods in remote sensing and innovative biotechnology processes. With the help of modern sensorics, comprehensive, real-time information about the environment and biotechnology processes can be obtained. However, we need robust and reliable models for solving nonlinear inverse problems and making predictions.
The direction of digital environmental research is supported by simultaneous development of hardware and computational algorithms. At the same time, the sources of variation in the ground truth must be controllable. In addition to utilizing digital technologies and artificial intelligence models, we conduct field and experimental research and make extensive use of analytical methods, including imaging techniques from the microscopic level to Earth orbit.
The direction of digital environmental research is supported by simultaneous development of hardware and computational algorithms. At the same time, the sources of variation in the ground truth must be controllable. In addition to utilizing digital technologies and artificial intelligence models, we conduct field and experimental research and make extensive use of analytical methods, including imaging techniques from the microscopic level to Earth orbit.
Fields of science
Follow-up groups
Projects as Principal investigator
- Bio-optical functional groups of phytoplankton in inland waters
- Research Council of Finland
- Next level process integration in microalgae biotechnology with digital applications
- Research Council of Finland
- Robust Algae Systems
- Business Finland
- BIO-OPTICAL PROPERTIES OF MICROALGAE IN ENVIRONMENTAL MONITORING
AND RESEARCH- Research Council of Finland
Projects as Team Member
- Next level process integration in microalgae biotechnology with digital applications (Consortium MIDAS – Microalgae Digital Applications)
- Pulkkinen, Katja
- Research Council of Finland
Publications and other outputs
1 of 2
Author of research datasets
- Assessment of microalgae species, biomass and distribution from spectral images using a convolution neural network (2021) Salmi, Pauliina; et al.
- Eutrophication effect on production and transfer of omega-3 fatty acids in boreal lake food webs (Dataset) (2023) Calderini, Marco; et al.
- Lipid monitoring of Chlorella vulgaris using non-invasive near-infrared spectral imaging ; Pääkkönen, Salli; et al.
- Metabolic plasticity of mixotrophic algae is key for their persistence in browning environments (2022) Calderini, Marco; et al.
- Non-invasive monitoring of microalgae cultivations in laboratory scale using hyperspectral imager (2022) Pääkkönen, Salli; et al.
- Original data for article: Comparison of epifluorescence microscopy and flow cytometry in counting freshwater picophytoplankton (2019) Salmi, Pauliina; et al.; 10.17011/jyx/dataset/66278
- Original data for article: Particle balance and return loops for microplastics in a tertiary-level wastewater treatment plant (2020) Salmi, Pauliina; et al.; 10.17011/jyx/dataset/71624
- Plastid 23S rRNA gene sequence data for several algae strains (2022) Rigaud, Cyril; et al.
- Temperature, phosphorus, and species composition will all influence phytoplankton synthesis and content of polyunsaturated fatty acids (complete dataset) (2023) Calderini, Marco; et al.
- Temperature, phosphorus, and species composition will all influence phytoplankton synthesis and content of polyunsaturated fatty acids (dataset) (2023) Calderini, Marco; et al.
