Author

Dadmehr Rahbari

Postdoctoral Researcher at TalTech – Tallinn University of Technology - Cited by 564 - Distributed computing - Information security - Machine learning

Biography

He is currently a postdoctoral researcher in the Communication System Research Group, Thomas Johann Seebeck, Department of Electronics, School of Information Technologies, Tallinn University of Technology, Estonia. His major research interests include resource management and security in distributed computing, and also Machine Learning.
Title
Cited by
Year
Scheduling of fog networks with optimized knapsack by symbiotic organisms search
D Rahbari, M Nickray2017 21st Conference of Open Innovations Association (FRUCT), 278-283, 2017201
103
2017
Saving time and cost on the scheduling of fog-based IoT applications using deep reinforcement learning approach
P Gazori, D Rahbari, M NickrayFuture Generation Computer Systems 110, 1098-1115, 2020202
82
2020
Low-latency and energy-efficient scheduling in fog-based IoT applications
D Rahbari, M NickrayTurk J Elec Eng & Comp Sci 27 (2), 1406-1427, 2019201
82
2019
Task offloading in mobile fog computing by classification and regression tree
D Rahbari, M NickrayPeer-to-Peer Networking and Applications 13, 104-122, 2020202
69
2020
A hyper heuristic algorithm for scheduling of fog networks
S Kabirzadeh, D Rahbari, M Nickray2017 21st Conference of Open Innovations Association (FRUCT), 148-155, 2017201
54
2017
Fog-based energy-efficient routing protocol for wireless sensor networks
EM Borujeni, D Rahbari, M NickrayThe Journal of Supercomputing 74 (12), 6831-6858, 2018201
38
2018
A security aware scheduling in fog computing by hyper heuristic algorithm
D Rahbari, S Kabirzadeh, M Nickray2017 3rd Iranian Conference on Intelligent Systems and Signal Processing …, 2017201
34
2017
ReFOCUS: A hybrid fog-cloud based intelligent traffic re-routing system
M Rezaei, H Noori, D Rahbari, M Nickray2017 IEEE 4th International Conference on Knowledge-Based Engineering and …, 2017201
18
2017
Optimized module placement in IoT applications based on fog computing
Z Rezazadeh, D Rahbari, M NickrayElectrical engineering (ICEE), Iranian conference on, 53-58, 2018201
15
2018
Help the genetic algorithm to minimize the urban traffic on intersections
D RahbariInternational Journal of Research in Computer Science 4 (4), 1-9, 2014201
11
2014
Fast and fair computation offloading management in a swarm of drones using a rating-based federated learning approach
D Rahbari, MM Alam, Y Le Moullec, M JenihhinIEEE Access 9, 11332-11349, 2021202
8
2021
Computation offloading and scheduling in edge-fog cloud computing
D Rahbari, M NickrayJournal of Electronic & Information Systems 1 (1), 26-36, 2019201
7
2019
A novel approach in classification by evolutionary neural networks
D RahbariInternational Journal of Computer Science and Network Security (IJCSNS) 14 …, 2014201
6
2014
High Performance Data mining by Genetic Neural Network
D RahbariBRAIN. Broad Research in Artificial Intelligence and Neuroscience 4 (1-4), 60-70, 2013201
5
2013
Multi-Niche Crowing in a Steady State Evolutionary Algorithms for Dynamic Multicast Routing
D Rahbari, S ToosizadehInternational Journal of Computer Science and Network Security (IJCSNS) 13 …, 2013201
5
2013
A two-stage technique for quick and low power offloading in iot
D Rahbari, M Nickray, G HeydariProceedings of the international conference on smart cities and internet of …, 2018201
5
2018
Energy saving scheduling in a fog-based IoT application by Bayesian task classification approach
G Heydari, D Rahbari, M NickrayTurkish Journal of Electrical Engineering and Computer Sciences 27 (6), 4167 …, 2019201
5
2019
Digital handwritten recognition by optimized neural networks
D RahbariIntegrated Journal of British, http://www.ijbritish.com 1 (1), 9, 20120
4
2014
Edge-to-Fog Collaborative Computing in a Swarm of Drones
D Rahbari, M Mahtab Alam, Y Le Moullec, M Jenihhin10th International Conference on Model and Data Engineering (MEDI 2021 …, 2021202
3
2021
IMPROVING RESPONSE TIME OF TASK OFFLOADING BY RANDOM FOREST, EXTRA-TREES AND ADABOOST CLASSIFIERS IN MOBILE FOG COMPUTING
E Darbanian, D Rahbari, R Ghanizadeh, M NickrayJordanian Journal of Computers and Information Technology (JJCIT) 6 (4), 2020202
1
2020

Referred From: https://scholar.google.com/citations?user=5UYrTicAAAAJ

Cited by
Citations 564
h-index 10
i10-index 10
Open Access Journals