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
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.
- A comparative study of state-of-the-art deep learning architectures for rice grain classification (2024)
- Journal of agriculture and food research
(Refereed journal article or data article (A1)) - Pose estimation of sow and piglets during free farrowing using deep learning (2024)
- Journal of agriculture and food research
(Refereed journal article or data article (A1)) - A Comprehensive Study of Clustering-Based Techniques for Detecting Abnormal Vessel Behavior (2023)
- Remote Sensing
(Refereed journal article or data article (A1)) - CNN-based Boreal Peatland Fertility Classification from Sentinel-1 and Sentinel-2 Imagery (2023) 2023 IEEE International Symposium on Robotic and Sensors Environments (ROSE) Farahnakian Fahimeh, Zelioli Luca, Middleton Maarit, Seppä Iiro, Pitkänen Timo P., Heikkonen Jukka
(Refereed article in conference proceedings (A4)) - Deep Learning and Computer Vision in Remote Sensing (2023) Farahnakian Fahimeh, Heikkonen Jukka, Jafarzadeh Pouya
(Editorship of a scientific special issue, book or conference proceedings (C2)) - Enhancing Minerals Prospects Mapping with Machine Learning: Addressing Imbalanced Geophysical Datasets and Data Visualization Approaches (2023)
- Proceedings of Conference of Open Innovations Association FRUCT
(Refereed article in conference proceedings (A4)) - 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
(Refereed article in conference proceedings (A4)) - 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
(Refereed article in conference proceedings (A4)) - 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
(Refereed article in conference proceedings (A4)) - Sea Ice Concentration Estimation Via Fusion of Sentinel-1 and AMSR2 Based on Encoder-Decoder Architecture (2023)
- Proceedings of the IEEE international conference on intelligent transportation systems
(Refereed article in conference proceedings (A4)) - A Comparative Study of Deep Learning-based RGB-depth Fusion Methods for Object Detection (2021) 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA) Farahnakian Fahimeh, Heikkonen Jukka
(Refereed article in conference proceedings (A4)) - Driver Drowsiness Detection Using Deep Convolutional Neural Network (2021) 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Farahnakian Farshad, Leoste Janika, Farahnakian Fahimeh
(Refereed article in conference proceedings (A4)) - IoT-Based Household Energy Consumption Prediction Using Machine Learning (2021) Advances in Industrial Internet of Things, Engineering and Management Jafarzadeh Pouya, Farahnakian Fahimeh, Paalassalo Jari-Pekka, Eerola Osmo
(Refereed article in compilation book (A3)) - Multi-pig Pose Estimation Using DeepLabCut (2021) 2021 11th International Conference on Intelligent Control and Information Processing (ICICIP) Farahnakian Fahimeh, Heikkonen Jukka, Björkman Stefan
(Refereed article in conference proceedings (A4)) - Pose Estimation of Hurdles Athletes using OpenPose (2021) 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Jafarzadeh Pouya, Virjonen Petra, Nevalainen Paavo, Farahnakian Fahimeh, Heikkonen Jukka
(Refereed article in conference proceedings (A4)) - RGB and Depth Image Fusion for Object Detection Using Deep Learning (2021) Deep Learning Applications, Volume 3 Farahnakian Fahimeh, Heikkonen Jukka
(Refereed article in compilation book (A3)) - Towards Autonomous Industrial Warehouse Inspection (2021) 2021 26th International Conference on Automation and Computing (ICAC) Farahnakian Fahimeh, Koivunen Lauri, Mäkilä Tuomas, Heikkonen Jukka
(Refereed article in conference proceedings (A4)) - Transfer Learning for Maritime Vessel Detection using Deep Neural Networks (2021)
- Proceedings of the IEEE international conference on intelligent transportation systems
(Refereed article in conference proceedings (A4)) - Comparing CNN-Based Object Detectors on Two Novel Maritime Datasets (2020)
- IEEE International Conference on Multimedia and Expo Workshops
(Refereed article in conference proceedings (A4)) - Deep Learning Based Multi-Modal Fusion Architectures for Maritime Vessel Detection (2020)
- Remote Sensing
(Refereed journal article or data article (A1))