My name is Arian (Persian: آریان ) – you can also call me Ari. I am a Ph.D. student and research assistant in Departement of Electrical and Computer Engineering at Concordia University. I received my M.Sc. in Computer Engineering (Artificial Intelligence and Robotics) from the Department of Computer Engineering, Amirkabir University of Technology (Tehran Polytechnic). I also received my B.Sc. in Computer Engineering (Computer Hardware) from the CSE & IT Department of Shiraz University. I find great fulfillment in exploring the intersection of theoretical principles in machine and deep learning with their diverse applications. My master's research centered on statistical signal processing, specifically modeling space-time-frequency representations in image processing. I explored image decomposition techniques to uncover latent representations across new domains, coupled with the statistical analysis of the resulting coefficients. In terms of Methodology, my previous work was grounded in Applied Machine Learning and Deep Learning. Currently, my research focuses on statistical modeling, optimization, and reinforcement learning. In terms of Application, I have worked across diverse domains, including medical image processing, wireless communication, and time series analysis.

News

[2026-01]: A Novel Whittle Index-Based Scheduling for Age of Information Minimization in IoT Networks was published in Conference IEEE SmartIOT 2025.
[2025-02]: Successful Completion of Ph.D. Comprehensive Exam.
[2024-09]: Continuing Ph.D. under the co-supervision of Dr. Y.R. Shayan and Dr. D. Qiu.
[2024-04]: Shifted research focus toward the theoretical aspects of optimization and reinforcement learning.
[2022-09]: Started Ph.D. studies at the IMPACT Lab, Departement of Electrical and Computer Engineering, Concordia University, under the supervision of Dr. H. Rivaz
[2022-03]: A Novel Gaussian-Copula modeling for image despeckling in the shearlet domain was published in Journal of Signal Processing.
[2020-12]: A novel statistical approach for multiplicative speckle removal using t-locations scale and non-sub sampled shearlet transform was published in Journal of Digital Signal Processing.

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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},
}

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 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}
}

Talk 1 on Relevant Topic in Your Field

Published: March 01, 2012

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Tutorial 1 on Relevant Topic in Your Field

Published: March 01, 2013

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Talk 2 on Relevant Topic in Your Field

Published: February 01, 2014

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Arian Morteza

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