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.
- Comparing CNN-Based Object Detectors on Two Novel Maritime Datasets (2020)
- IEEE International Conference on Multimedia and Expo Workshops
(A4 Refereed article in a conference publication ) - Deep Learning Based Multi-Modal Fusion Architectures for Maritime Vessel Detection (2020)
- Remote Sensing
(A1 Refereed original research article in a scientific journal) - 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
(A4 Refereed article in a conference publication ) - 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
(A4 Refereed article in a conference publication ) - 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
(A4 Refereed article in a conference publication ) - 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
(A4 Refereed article in a conference publication ) - Energy-aware VM Consolidation in Cloud Data Centers Using Utilization Prediction Model (2019)
- IEEE Transactions on Cloud Computing
(A1 Refereed original research article in a scientific journal) - 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
(A4 Refereed article in a conference publication ) - A Deep Auto-Encoder based Approach for Intrusion Detection System (2018) 2018 20th International Conference on Advanced Communication Technology (ICACT) Fatimeh Farahnakian, Jukka Heikkonen
(A4 Refereed article in a conference publication ) - An Efficient Multi-sensor Fusion Approach for Object Detection in Maritime Environments (2018)
- Proceedings of the IEEE international conference on intelligent transportation systems
(A4 Refereed article in a conference publication )
