Fahimeh Farahnakian
PhD
fahimeh.farahnakian@utu.fi Vesilinnantie 5 Turku : 4th floor,452CJ : 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.
- Using Ant Colony System to Consolidate VMs for Green Cloud Computing (2015)
- IEEE Transactions on Services Computing
- Utilization prediction aware VM consolidation approach for green cloud computing (2015) IEEE International Conference on Cloud Computing Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen
- Adaptive Load Balancing in Learning-based Approaches for many-core embedded systems (2014)
- Journal of Supercomputing
- Artificial Immune System Based Intrusion Detection: Innate Immunity Using an Unsupervised Learning Approach (2014)
- International Journal of Digital Content Technology and Its Applications
- Bi-LCQ: A low-weight clustering-based Q-learning approach for NoCs (2014)
- Microprocessors and Microsystems
- Energy-aware Dynamic VM Consolidation in Cloud Data Centers using Ant Colony System (2014) Cloud Computing (CLOUD), 2014 IEEE 7th International Conference on Fahimeh Farahnakian, Adnan Ashraf, Pasi Liljeberg, Tapio Pahikkala, Juha Plosila, Ivan Porres, Hannu Tenhunen
- Energy-Efficient Virtual Machines Consolidation in Cloud Data Centers using Reinforcement Learning (2014) Fahimeh Farahnakian, Pasi Liljeberg, Juha Plosila
- Hierarchical Agent-based Architecture for Resource Management in Cloud Data Centers (2014)
- IEEE International Conference on Cloud Computing
- Hierarchical VM Management Architecture for Cloud Data Centers (2014) 2014 IEEE 6th International Conference on Cloud Computing Technology and Science Fahimeh Farahnakian, Pasi Liljeberg, Tapio Pahikkala, Juha Plosila, Hannu Tenhunen
- Multi-Agent based Architecture for Dynamic VM Consolidation in Cloud Data Centers (2014) Software Engineering and Advanced Applications (SEAA), 2014 40th EUROMICRO Conference on Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen
- Energy Aware Consolidation Algorithm based on K-nearest Neighbor Regression for Cloud Data Centers (2013) 6th IEEE/ACM International Conference on Utility and Cloud Computing Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila
- LiRCUP: Linear Regression based CPU Usage Prediction Algorithm for Live Migration of Virtual Machines in Data Centers (2013) 39th Euromicro Conference on Iv Software Engineering and Advanced Applications (SEAA 2013) Fahimeh Farahnakian, Pasi Liljeberg, Juha Plosila
- Adaptive Reinforcement Learning Method for Networks-on-Chip (2012) Fahimeh Farahnakian, Masoumeh Ebrahimi, Masoud Daneshtalab, Juha Plosila, Pasi Liljeberg
- HARAQ: Congestion-Aware Learning Model for Highly Adaptive Routing Algorithm in On-Chip Networks (2012) Daneshtalab Masoud, Ebrahimi Masoumeh, Farahnakian Fahimeh, Liljeberg Pasi, Plosila Juha, Palesi Maurizio, Tenhunen Hannu
- Optimized Q-learning Model for Distributing Traffic in On-Chip Networks (2012) F Farahnakian, M Ebrahimi, M Daneshtalab, P Liljeberg, J Plosila
- Efficient On-Chip Network architecture Using Reinforcement Learning (2011)
- Digital System Design
- Q-learning based congestion-aware routing algorithm for on-chip network. (2011) Fahimeh Farahnakian, Masoumeh Ebrahimi, Masoud Daneshtalab, Pasi Liljeberg, Juha Plosila
