Publications

A Novel Whittle Index-Based Scheduling for Age of Information Minimization in IoT Networks

Published in IEEE Smart Internet of Things (SmartIoT), 2025

[C1] A. Morteza, D. Qiu, and Y. R. Shayan, "A Novel Whittle Index-Based Scheduling for Age of Information Minimization in IoT Networks," Proc. IEEE International Conference on Smart Internet of Things (SmartIoT), Sydney, Australia, pp. 184–190, 2025.

Paper

Age of Information Whittle Index Markov Decision Process Reinforcement Learning MQTT IoT Scheduling

@inproceedings{Morteza2025SmartIoT,
  author    = {Arian Morteza and Dongyu Qiu and Y. R. Shayan},
  title     = {A Novel Whittle Index-Based Scheduling for Age of Information Minimization in IoT Networks},
  booktitle = {2025 IEEE International Conference on Smart Internet of Things (SmartIoT)},
  year      = {2025},
  pages     = {184--190},
  address   = {Sydney, Australia},
  doi       = {10.1109/SmartIoT66867.2025.00033},
  keywords  = {Age of Information, Whittle Index, Markov Decision Process, Reinforcement Learning, MQTT, IoT Scheduling}
}

A Novel Gaussian-Copula modeling for image despeckling in the shearlet domain

Published in Signal Processing, 2022

[J2] A. Morteza and M. Amirmazlaghani, "A Novel Gaussian-Copula modeling for image despeckling in the shearlet domain," Signal Processing, vol. 192, pp. 108340, 2022.

Demo Paper

Multiplicative noise Non sub sampled shearlet transform BCGM Gaussian-Copula Shearlet transform

@article{MORTEZA2022108340,
title = {A Novel Gaussian-Copula modeling for image despeckling in the shearlet domain},
journal = {Signal Processing},
volume = {192},
pages = {108340},
year = {2022},
issn = {0165-1684},
doi = {https://doi.org/10.1016/j.sigpro.2021.108340},
url = {https://www.sciencedirect.com/science/article/pii/S0165168421003777},
author = {Arian Morteza and Maryam Amirmazlaghani},
keywords = {Multiplicative noise, Non sub sampled shearlet transform, BCGM, Gaussian-Copula, Shearlet transform},
}

A novel statistical approach for multiplicative speckle removal using t-locations scale and non-sub sampled shearlet transform

Published in Digital Signal Processing, 2020

[J1] A. Morteza and M. Amirmazlaghani, "A novel statistical approach for multiplicative speckle removal using t-locations scale and non-sub sampled shearlet transform," Digital Signal Processing , vol. 107, pp. 102857, 2020.

Demo Paper

Despeckling Multiplicative noise Non-sub sampled shearlet transform T-location scale

@article{MORTEZA2020102857,
  title = {A novel statistical approach for multiplicative speckle removal using t-locations scale and non-sub sampled shearlet transform},
  journal = {Digital Signal Processing},
  volume = {107},
  pages = {102857},
  year = {2020},
  issn = {1051-2004},
  doi = {https://doi.org/10.1016/j.dsp.2020.102857},
  url = {https://www.sciencedirect.com/science/article/pii/S1051200420302025},
  author = {Arian Morteza and Maryam Amirmazlaghani},
  keywords = {Despeckling, Multiplicative noise, Non-sub sampled shearlet transform, T-location scale},
}