Fahimeh Farahnakian
Dr

erikoistutkija, Tietojenkäsittelytiede (Tulevaisuuden teknologioiden laitos)

fahimeh.farahnakian@utu.fi
+358 2 333 6962
Vesilinnantie 5
Turku





Asiantuntijuusalueet
Machine learning; deep learning; Computer Vision, Data analysis and Knowledge discovery; Autonomous multi-agent systems.
Cloud Infrastructure and Architectures; Energy-efficient Data center; Virtualization


Biografia
Fahimeh Farahnakian is a Senior Researcher at the Department of Information Technology, the University of Turku, Finland. She was a researcher and PhD candidate at the Department of Information Technology, the University of Turku from 2011-2016. 

Julkaisut
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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 Artikkeli konferenssijulkaisussa)

An Efficient Multi-sensor Fusion Approach for Object Detection in Maritime Environments (2018) 2018 21st International Conference on Intelligent Transportation Systems (ITSC) Mohammad-Hashem Haghbayan, Fahimeh Farahnakian, Jonne Poikonen, Markus Laurinen, Paavo Nevalainen, Juha Plosila, Jukka Heikkonen
(
A4 Artikkeli konferenssijulkaisussa)

Anomaly-based Intrusion Detection Using Deep Neural Networks (2018)
International Journal of Digital Content Technology and Its Applications
Farahnakian Fahimeh, Heikkonen Jukka
(
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

Object Detection Based on Multi-sensor Proposal Fusion in Maritime Environment (2018) 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) Fahimeh Farahnakian, Mohammad-Hashem Haghbayan, Jonne Poikonen, Markus Laurinen, Paavo Nevalainen, Jukka Heikkonen
(
A4 Artikkeli konferenssijulkaisussa)

Energy-aware VM Consolidation in Cloud Data Centers Using Utilization Prediction Model (2016)
IEEE Transactions on Cloud Computing
Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Nguyen Trung Hieu, Hannu Tenhunen
(
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

Self-adaptive resource management system in IaaS clouds (2016)
IEEE International Conference on Cloud Computing
2016 IEEE 9th International Conference on Cloud Computing (CLOUD) Fahimeh Farahnakian, Rami Bahsoon, Pasi Liljeberg, Tapio Pahikkala
(
A4 Artikkeli konferenssijulkaisussa)

Using Ant Colony System to Consolidate VMs for Green Cloud Computing (2015) Fahimeh Farahnakian, Adnan Ashraf, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Ivan Porres, Hannu Tenhunen
(
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

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
(
A4 Artikkeli konferenssijulkaisussa)

Adaptive Load Balancing in Learning-based Approaches for many-core embedded systems (2014)
Journal of Supercomputing
F. Farahnakian, M. Ebrahimi, M. Daneshtalab, P. Liljeberg, J. Plosila
(
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

Artificial Immune System Based Intrusion Detection: Innate Immunity Using an Unsupervised Learning Approach (2014)
International Journal of Digital Content Technology and Its Applications
Farhoud Hosseinpour, Payam Vahdani Amoli, Fahimeh Farahnakian, Juha Plosila, Timo Hämäläinen
(
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

Bi-LCQ: A low-weight clustering-based Q-learning approach for NoCs (2014)
Microprocessors and Microsystems
F. Farahnakian, M. Ebrahimi, M. Daneshtalab, P. Liljeberg, J. Plosila
(
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

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
(
A4 Artikkeli konferenssijulkaisussa)

Energy-Efficient Virtual Machines Consolidation in Cloud Data Centers using Reinforcement Learning (2014) Fahimeh Farahnakian, Pasi Liljeberg, Juha Plosila
(
A4 Artikkeli konferenssijulkaisussa)

Hierarchical VM Management Architecture for Cloud Data Centers (2014) Cloud Computing (CLOUD), 2014 IEEE 7th International Conference on Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila
(
A4 Artikkeli konferenssijulkaisussa)

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
(
A4 Artikkeli konferenssijulkaisussa)

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
(
A4 Artikkeli konferenssijulkaisussa)

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
(
A4 Artikkeli konferenssijulkaisussa)

Adaptive Reinforcement Learning Method for Networks-on-Chip (2012) Fahimeh Farahnakian, Masoumeh Ebrahimi, Masoud Daneshtalab, Juha Plosila, Pasi Liljeberg
(
A4 Artikkeli konferenssijulkaisussa)

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
(
A4 Artikkeli konferenssijulkaisussa)

Optimized Q-learning Model for Distributing Traffic in On-Chip Networks (2012) F Farahnakian, M Ebrahimi, M Daneshtalab, P Liljeberg, J Plosila
(
A4 Artikkeli konferenssijulkaisussa)


Last updated on 2019-26-05 at 02:19