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 |
Areas of expertise
Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Data Analysis, Autonomous Systems and Cloud Computing
Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Data Analysis, Autonomous Systems and Cloud Computing
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.
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 
1 of 2
- A Comprehensive Study of Clustering-Based Techniques for Detecting Abnormal Vessel Behavior (2023)
- Remote Sensing
(Refereed journal article or data article (A1)) - 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)) - Fusing LiDAR and Color Imagery for Object Detection using Convolutional Neural Networks (2020) Proceedings of 2020 IEEE 23rd International Conference on Information Fusion (FUSION) Farahnakian F, Heikkonen J
(Refereed article in conference proceedings (A4)) - RGB-depth Fusion Framework for Object Detection in Autonomous Vehicles (2020) The 14th International Conference on Signal Processing and Communication Systems (ICSPCS) Farahnakian Fahimeh, Heikkonen Jukka
(Refereed article in conference proceedings (A4)) - Comparative Analysis of Image Fusion Methods in Marine Environment (2019) 2019 IEEE International Symposium on Robotic and Sensors Environments (ROSE) Fahimeh Farahnakian, Parisa Movahedi, Jussi Poikonen, Eero Lehtonen, Dimitrios Makris, Jukka Heikkonen
(Refereed article in conference proceedings (A4)) - Deep Convolutional Neural Network-based Fusion of RGB and IR Images in Marine Environment (2019) 2019 IEEE Intelligent Transportation Systems Conference (ITSC) Fahimeh Farahnakian, Jussi Poikonen, Markus Laurinen, Jukka Heikkonen
(Refereed article in conference proceedings (A4)) - Energy-aware VM Consolidation in Cloud Data Centers Using Utilization Prediction Model (2019)
- IEEE Transactions on Cloud Computing
(Refereed journal article or data article (A1)) - Visible and Infrared Image Fusion Framework based on RetinaNet for Marine Environment (2019) 2019 22th International Conference on Information Fusion (FUSION) Farahnakian Fahimeh, Poikkonen Jussi, Laurinen Markus, Markis Dimitrios, Heikkonen Jukka
(Refereed article in conference proceedings (A4)) - A Deep Auto-Encoder based Approach for Intrusion Detection System (2018) 2018 20th International Conference on Advanced Communication Technology (ICACT) Fatimeh Farahnakian, Jukka Heikkonen
(Refereed article in conference proceedings (A4)) - An Efficient Multi-sensor Fusion Approach for Object Detection in Maritime Environments (2018)
- Proceedings of the IEEE international conference on intelligent transportation systems
(Refereed article in conference proceedings (A4)) - Anomaly-based Intrusion Detection Using Deep Neural Networks (2018)
- International Journal of Digital Content Technology and Its Applications
(Refereed journal article or data article (A1))
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