Fahimeh Farahnakian
 PhD


fahimeh.farahnakian@utu.fi

Vesilinnantie 5

Turku

Office4th floor,452CJ


ORCID identifierhttps://orcid.org/https://orcid.org/0000-0002-7672-9346?lang=en

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Areas of expertise
Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Data Analysis, Autonomous Systems and Cloud Computing

Research community or research topic
Computer Science

Biography
 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. 

Research

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. 



Teaching

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.



Publications
  
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  • 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 )


  •   (2025)  
    • Multimedia Tools and ApplicationsJournal of agriculture and food research
     Jafarzadeh, Pouya; Zelioli, Luca; Virjonen, Petra; Farahnakian, Fahimeh; Nevalainen, Paavo; Heikkonen, Jukka
    (
    A1 Refereed original research article in a scientific journal)


  • 2025
    • Multimodal transportation
     Farahnakian, Farshad; Nevalainen, Paavo; Farahnakian, Fahimeh; Vähämäki, Tanja; Heikkonen, Jukka
    (
    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, SpainEnhancing Peatland Classification using Sentinel-1 and Sentinel-2 Fusion with Encoder-Decoder Architecture  (2025
    • Lecture Notes in Computer Science
    Pattern Recognition. ICPR 2024 International Workshops and Challenges: Kolkata, India, December 1, 2024, Proceedings, Part IV Farahnakian, Fahimeh; Farahnakian, Farshad; Sheikh, Javad; Downey, Steven; Williams, Vaughan; Heikkonen, Jukka
    (
    A4 Refereed article in a conference publication )


  •   (2025)  
    • Ecological Informatics
     Zelioli, Luca; Farahnakian, Fahimeh; Middleton, Maarit; Pitkänen, Timo P.; Tuominen, Sakari; Nevalainen, Paavo; Pohjankukka, Jonne; Heikkonen, Jukka
    (
    A1 Refereed original research article in a scientific journal)


  • S34I Project: Secure and Sustainable Supply of Raw Materials for EU IndustryPose estimation of sow and piglets during free farrowing using deep learning  (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 )


  •   (2024)  
       Farahnakian Farshad, Sheikh Javad, Farahnakian Fahimeh, Heikkonen Jukka
      (
      A1 Refereed original research article in a scientific journal)


    • Addressing imbalanced data for machine learning based mineral prospectivity mapping  (2024)  
      • Ore Geology Reviews
       Farahnakian, Fahimeh; Sheikh, Javad; Zelioli, Luca; Nidhi, Dipak; Seppä, Iiro; Ilo, Rami; Nevalainen, Paavo; Heikkonen, Jukka
      (
      A2 Refereed review article in a scientific journal )


    •   (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 )


    •   (2024)  
      • Remote Sensing
       Farahnakian, Fahimeh; Luodes, Nike; Karlsson, Teemu
      (
      A1 Refereed original research article in a scientific journal)


    •   (2024)  
      • Journal of agriculture and food research
       Farahnakian Fahimeh, Farahnakian Farshad, Björkman Stefan, Bloch Victor, Pastell Matti, Heikkonen Jukka
      (
      A1 Refereed original research article in a scientific journal)


    • SEDA: Similarity-Enhanced Data Augmentation for Imbalanced Learning  (2024)  
      • Lecture Notes in Computer Science
      Pattern Recognition: 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part XXVI Sheikh, Javad; Farahnakian, Farshad; Farahnakian, Fahimeh; Zelioli, Luca; Heikkonen, Jukka
      (
      A4 Refereed article in a conference publication )


    • Short and Long Term Vessel Movement Prediction for Maritime Traffic  (2024)  
      • Lecture Notes in Computer Science
      Critical Information Infrastructures Security 18th International Conference, CRITIS 2023, Helsinki Region, Finland, September 13–15, 2023, Revised Selected Papers Farahnakian, Farshad; Farahnakian, Fahimeh; Sheikh, Javad; Nevalainen, Paavo; Heikkonen, Jukka
      (
      A4 Refereed article in a conference publication )


    • A Comprehensive Study of Clustering-Based Techniques for Detecting Abnormal Vessel Behavior  (2023)  
      • Remote Sensing
       Farahnakian Farshad, Nicolas Florent, Farahnakian Fahimeh, Nevalainen Paavo, Sheikh Javad, Heikkonen Jukka, Raduly-Baka Csaba
      (
      A1 Refereed original research article in a scientific journal)


    •   (2023)  2023 IEEE International Symposium on Robotic and Sensors Environments (ROSE) Farahnakian Fahimeh, Zelioli Luca, Middleton Maarit, Seppä Iiro, Pitkänen Timo P., Heikkonen Jukka
      (
      A4 Refereed article in a conference publication )


    • Deep Learning and Computer Vision in Remote Sensing  (2023)   Farahnakian Fahimeh, Heikkonen Jukka, Jafarzadeh Pouya
      (
      C2 Editorial work for a scientific compilation book)


    • Enhancing Minerals Prospects Mapping with Machine Learning: Addressing Imbalanced Geophysical Datasets and Data Visualization Approaches  (2023)  
      • Proceedings of Conference of Open Innovations Association FRUCT
      Proceedings of the 34th Conference of Open Innovations Association FRUCT Nidhi Dipak Kumar, Seppä Iiro, Farahnakian Fahimeh, Zelioli Luca, Heikkonen Jukka, Kanth Rajeev
      (
      A4 Refereed article in a conference publication )


    • Ice-Water Segmentation Using Deep Convolutional Neural Network-Based Fusion Approach  (2023)  The 28th International Conference on Automation and Computing: Digitalisation for Smart Manufacturing and Systems Sheikh Javad, Farahnakian Fahimeh, Farahnakian Farshad, Heikkonen Jukka
      (
      A4 Refereed article in a conference publication )


    • Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland  (2023)  2023 26th International Conference on Information Fusion (FUSION) Farahnakian Fahimeh, Zelioli Luca, Pitkänen Timo, Pohjankukka Jonne, Middleton Maarit, Tuominen Sakari, Nevalainen Paavo, Heikkonen Jukka
      (
      A4 Refereed article in a conference publication )


    • Real-Time Military Tank Detection Using YOLOv5 Implemented on Raspberry Pi  (2023)  2023 the 4th International Conference on Artificial Intelligence, Robotics and Control (AIRC 2023) Jafarzadeh Pouya, Zelioli Luca, Farahnakian Fahimeh, Nevalainen Paavo, Heikkonen Jukka, Hemminki Petteri, Andersson Christian
      (
      A4 Refereed article in a conference publication )



    Last updated on 2023-12-07 at 12:34