Fahimeh Farahnakian
Dr

Senior Researcher, Computer Science (Department of Future Technologies)

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





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


Biography
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. 

Publications

A Deep Auto-Encoder based Approach for Intrusion Detection System (2018)Fatimeh Farahnakian, Jukka Heikkonen
(
A4 Article in conference proceedings)

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 Journal article – refereed)

Self-adaptive resource management system in IaaS clouds (2016)
IEEE International Conference on Cloud Computing
Fahimeh Farahnakian, Rami Bahsoon, Pasi Liljeberg, Tapio Pahikkala
(
A4 Article in conference proceedings)

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 Journal article – refereed)

Utilization prediction aware VM consolidation approach for green cloud computing (2015)Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen
(
A4 Article in conference proceedings)

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 Journal article – refereed)

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 Journal article – refereed)

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 Journal article – refereed)

Energy-aware Dynamic VM Consolidation in Cloud Data Centers using Ant Colony System (2014)Fahimeh Farahnakian, Adnan Ashraf, Pasi Liljeberg, Tapio Pahikkala, Juha Plosila, Ivan Porres, Hannu Tenhunen
(
A4 Article in conference proceedings)

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

Hierarchical VM Management Architecture for Cloud Data Centers (2014)Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila
(
A4 Article in conference proceedings)

Multi-Agent based Architecture for Dynamic VM Consolidation in Cloud Data Centers (2014)Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen
(
A4 Article in conference proceedings)

Energy Aware Consolidation Algorithm based on K-nearest Neighbor Regression for Cloud Data Centers (2013)Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila
(
A4 Article in conference proceedings)

LiRCUP: Linear Regression based CPU Usage Prediction Algorithm for Live Migration of Virtual Machines in Data Centers (2013)Fahimeh Farahnakian, Pasi Liljeberg, Juha Plosila
(
A4 Article in conference proceedings)

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

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 Article in conference proceedings)

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

Efficient On-Chip Network architecture Using Reinforcement Learning (2011)F Farahnakian, M Daneshtalab, P Liljeberg, J Plosila
(
A4 Article in conference proceedings)

Q-learning based congestion-aware routing algorithm for on-chip network. (2011)Fahimeh Farahnakian, Masoumeh Ebrahimi, Masoud Daneshtalab, Pasi Liljeberg, Juha Plosila
(
A4 Article in conference proceedings)


Last updated on 2018-14-11 at 14:09