Fahimeh Farahnakian
PhD
fahimeh.farahnakian@utu.fi Vesilinnantie 5 Turku Office: 4th floor,452CJ ORCID identifier: https://orcid.org/https://orcid.org/0000-0002-7672-9346?lang=en |
Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Data Analysis, Autonomous Systems and Cloud Computing
Computer Science
I am adjunct professor of Computer Science the University of Turku (UTU), Finland. From 2011-2016, I was a researcher and PhD candidate at the department of future technologies, University of Turku. I have worked in academia since 2009 in several positions such as research assistant, teacher assistant, post-doctoral researcher, lecturer and senior researcher. I have a proven ability in mentoring, proposal-writing, project management and state-of-the-art computer proficiencies.
I have worked in academia since 2009 in several positions such as research assistant, teacher assistant, post-doctoral researcher, lecturer and senior researcher. I jointed the University Turku as a research visitor in 2011 and then after 6 months I got an offer to start my Ph.D. During my Ph.D, I have also visited and worked the Birmingham University for almost half year in 2015. I have also worked at the Kingston University in London as a research visitor in 2019. I have collaborated with these universities and worked on various projects. These international research visits greatly helped me in building new connection for further international collaborations in many ways. Currently, I am working on several projects at UTU and supervising several M.Sc. student. My research interests include Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Data Analysis, Autonomous Systems and Cloud Computing. I have published +30 articles in journal and conference proceedings.
I have 10+ years’ experience in teaching and research specializing in Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Data Analysis, Autonomous Systems and Cloud Computing. You can find more information about my projects from my webpage.
- GeoFusion: A hybrid convolutional neural network-transformer model for boreal peatland classification (2026)
- Engineering Applications of Artificial Intelligence
(A1 Refereed original research article in a scientific journal) - A Comparative Study of a Real-Time Multi-Person Tracking System in an Urban Square Dataset (2025) 2025 International Conference on Activity and Behavior Computing (ABC) Jafarzadeh, Pouya; Zelioli, Luca; Farahnakian, Fahimeh; Nevalainen, Paavo; Heikkonen, Jukka
(A4 Refereed article in a conference publication ) - Enhancing hurdles athletes’ performance analysis: A comparative study of cnn-based pose estimation frameworks (2025)
- Multimedia Tools and Applications
(A1 Refereed original research article in a scientific journal) - Maritime vessel movement prediction: A temporal convolutional network model with optimal look-back window size determination (2025)
- Multimodal transportation
(A1 Refereed original research article in a scientific journal) - Multi-modal Fusion of LiDAR and PRISMA Data for Cobalt Mapping: A Case Study from the Áramo Mine, Spain (2025)
- Lecture Notes in Computer Science
(A4 Refereed article in a conference publication ) - Peatland pixel-level classification via multispectral, multiresolution and multisensor data using convolutional neural network (2025)
- Ecological Informatics
(A1 Refereed original research article in a scientific journal) - S34I Project: Secure and Sustainable Supply of Raw Materials for EU Industry (2025) Proceedings of the 11th International Conference on Geographical Information Systems Theory, Applications and Management Teodoro, Ana Cláudia; Cardoso-Fernandes, Joana; Gheorghe, Mihaela; Falabella, Francesco; Calò, Fabiana; Pepe, Antonio; Hanelli, Delira; Knobloch, Andreas; De La Rosa, Roberto; Farahnakian, Fahimeh; Georgalas, Georgios Periklis; Sanz-Ablanedo, Enoc; Williams, Vaughan; Oštir, Krištof
(A4 Refereed article in a conference publication ) - A comparative study of state-of-the-art deep learning architectures for rice grain classification (2024)
- Journal of agriculture and food research
(A1 Refereed original research article in a scientific journal) - Addressing imbalanced data for machine learning based mineral prospectivity mapping (2024)
- Ore Geology Reviews
(A2 Refereed review article in a scientific journal ) - Enhancing Peatland Classification using Sentinel-1 and Sentinel-2 Fusion with Encoder-Decoder Architecture (2024) 2024 27th International Conference on Information Fusion (FUSION) Zelioli, Luca; Farahnakian, Fahimeh; Farahnakian, Farshad; Middleton, Maarit; Heikkonen, Jukka
(A4 Refereed article in a conference publication )
