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

@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

@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

@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},
}