MARYAM AMIR MAZLAGHANI - Amirkabir University of Technology

Research Interests

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Title

Start date

1

Machine Learning

2

Statistical Modeling

3

Image Processing

4

Optimization

Supervised PhD Theses

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Thesis title

By

Date

1

Graph Structure Learning With Modeling Based on Grap Signal Processing

BEHNAM ROSHANFEKR & MOHAMMAD RAHMATI
Other Supervisor:

2025 Sep

2

Robustness of deep convolutional networks against white-box adversarial attacks based on the loss function

MOHAMMAD KHALOOEI & MOHAMMAD MEHDI HOMAYOUNPOUR
Other Supervisor:

2025 Sep

Supervised MSc Theses

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Thesis title

By

Date

1

Cancer detection in medical images

MAHDI FIROUZBAKHT

2024 Sep

2

Detection of brain tumors from MRI images

FATEMEHZAHRA ADIB & MOHAMMAD RAHMATI
Other Supervisor:

2023 Sep

3

A Defensive Method Against Adversarial Attack to Learning Algorithm In Intrusion Detection Systems

MAHDI SALMANZADEH NAJAFI

2023 Sep

4

An approach for improving the robustness of deep neural network image classifiers against adversarial examples

SOROUSH MAHDI

2023 Sep

5

Predicting the direction and closing prices of Bitcoin exchange rate using hybrid techniques

NEGIN MARIVANI

2023 Jul

6

a spatio-temporal method for air pollution forecasting

MOHAMMADSAEED NABATISARAVANI

2022 Oct

7

Anomaly detection with Generative Adversarial Network

ZAHRA DEHGHANIAN & MOHAMMAD RAHMATI
Other Supervisor:

2022 Sep

8

Investigating the factors affecting reuse intention in digital platforms (Case study of online food delivery platforms)

MARYAM MOHAMMADPANAH & Mohammad bashir Sedighi
Other Supervisor:

2022 Jun

9

Multiview Deep Subspace Clustering based on Graph Learning

NILOOFAR MEHDIZADEH & EHSAN NAZERFARD
Other Supervisor:

2022 Mar

10

feature selection using data graph representation

AMIN REZAEE

2021 Oct

11

semantic textuae similarity measuring and its sapplication in a question answering system

MOHADESE ROGHANGARHA
Other Supervisor: MOHAMMAD MEHDI HOMAYOUNPOUR

2021 Oct

12

image retrieval based on using statistical modeling

MARYAM TAHERI GOLPAYEGANI
Other Supervisor: EHSAN NAZERFARD

2021 Oct

13

Novel method in graph representation learning

ALIREZA AMOUZAD

2021 Sep

14

Deep Learning For Human Activity Recognition Using Mobile and Wearable Sensors

MOHAMMAD TAVAKKOLI & EHSAN NAZERFARD
Other Supervisor:

2021 Sep

15

Improvement of Embedding Techniques in Steganography Via Adversarial Learning

NAYEREH SADAT KHOLDI NASAB

2021 Apr

16

Using voice processing techiques for secure data and voice transmission on cellular networks

MEHRDAD HAMZEH & MOHAMMAD MEHDI HOMAYOUNPOUR
Other Supervisor:

2020 May

17

Denoising of SAR Images Using Shearlet Transform based on Statistical Modeling

ARIAN MORTEZA

2020 Feb

18

Probabilistic multi-person localisation and tracking

FATEMEH NEMATI

2020 Feb

19

Predicting Behavior using Functional Magnetic Resonance Imaging (fMRI) Data

ARASH HEMMATI

2019 Jul

20

Image Steganography by Minimizing Statistical Detectability

MOHAMMAD REZA KHODABANDELOO

2019 Jul

21

Construction of Gene Regulatory Network Using Multiple Datasets

MEHRZAD SAREMI

2019 May

22

Disease Diagnosis using Rest-State functional Magnetic Resonance Imaging (fMRI)

AMIN AMINI

2019 Feb

23

A pathwork image watermarking method in contourlet domain

ABBAS ZOLFAGHARI

2018 Jul

24

Synthetic Aperture Radar ( SAR) Images Denoising Using the Copula Theory

ALIREZA SALIMI

2018 Feb

25

High Capacity Image Steganograph Using Contourlet Transform

FARID SALEH

2017 Jul

26

Improving Stego- Images Quality in Secret Image Sharing With Steganography

AMIR MAHMOOD AHMADIAN

2017 Feb

27

Anomaly Detection In Network Traffic Based on Matrix Factorization

MOHAMMAD HOSSEIN POURSHAMSI BONDARABAD

2017 Feb

28

Preventing phishing attacks based on using watermarking

MAHDI HAJIALI

2016 Sep

29

Designing a watermark system for audio signals based on a statistical approach

SAMANEH NOROUZI POUDEH

2016 Feb

30

Anomaly Detection in Network Traffic using Statistical Modeling

SAJJAD HOSSEINZADEH

2015 Oct

31

Interpretability of Deep Learning in financial time series forecasting

ALI AMIRYAN

2025 Mar

32

Anomaly detection in industrial images using semi-supervised learning

SAMAN MOHAMMADIRAOUF

2025 Aug

33

Proposing a method to improve the explainability of deep learning models in medical image analysis

NEWSHA SHAHBODAGHKHAN & MOHAMMAD RAHMATI
Other Supervisor:

2025 Apr

Journal Papers

1

M. Firouzbakht, M. Amir Mazlaghani, "Breast cancer detection in mammography images using Neighborhood Attention transformer and Shearlet Transform", Computers In Biology and Medicine, 2025 Nov vol. 198, no. , pp.111239-111239, 2025.

2

A. Ghiasvand, A. Javaherian, M. Amir Mazlaghani, Mohammad Reza Saberi, H. Mahdavi Basir, "A physics-informed deep learning approach for 3D acoustic impedance estimation from seismic data: Application to an offshore field in the Southwest Iran", Scientific Reports, 2025 Nov vol. 15, no. 0, pp.1-23, 2025.

3

Z. Dehghanian, M. Nabatisaravani, M. Amir Mazlaghani, M. Rahmati, "Anomaly Detection Using Complete Cycle Consistent Generative Adversarial Network", International Journal of Neural Systems, 2024 Nov vol. 2, no. 35, pp.255000-255000, 2024.

4

S. Saadati, M. Amir Mazlaghani, "Revolutionizing endometriosis treatment: automated surgical operation through artificial intelligence and robotic vision", Journal of Robotic Surgery, 2024 Oct vol. 18, no. 1, pp.383-383, 2024.

5

Nima Rastegra, Mohammad Barbod Amirmazlaghani, Siamak Alizadehnia, M. Amir Mazlaghani, "Analyzing driving behavior for fuel efficiency using ECU data based on artificial intelligence", , 2024 Apr vol. 71, no. 1, pp.1-15, 2024.

6

A. Amouzad, Z. Dehghanian, M. Nabatisaravani, M. Amir Mazlaghani, B. Roshanfekr, "Graph isomorphism U-Net", Expert Systems With Applications, 2024 Feb vol. 236, no. 1, pp.1-10, 2024.

7

M. Tavakkoli, E. Nazerfard, M. Amir Mazlaghani, "Wavelet-domain human activity recognition utilizing convolutional neural networks", Journal of Ambient Intelligence and Smart Environments, 2023 Nov vol. 16, no. 1, pp.1-14, 2023.

8

H. Mohasel Arjomandi, M. Khalooei, M. Amir Mazlaghani, "Low-epsilon adversarial attack against a neural network online image stream classifier", Applied Soft Computing, 2023 Nov vol. 147, no. 1, pp.1-13, 2023.

9

M. Khalooei, M.M. Homayounpour, M. Amir Mazlaghani, "A survey on vulnerability of deep neural networks to adversarial examples and defense approaches to deal with them", , 2023 Oct vol. 20, no. , pp.113-144, 2023.

10

S. Etemad, M. Amir Mazlaghani, "SherVine: A graphical dependency modeling for shearlet transform and its application in image quality assessment", Expert Systems With Applications, 2023 Sep vol. 225, no. 1, pp.1-20, 2023.

11

M. Khalooei, M.M. Homayounpour, M. Amir Mazlaghani, "Layer-wise regularized adversarial training using layers sustainability analysis framework", Neurocomputing, 2023 Jul vol. 540, no. 1, pp.1-20, 2023.

12

N.S. Kholdi Nasab, M. Amir Mazlaghani, "An adversarial learning based image steganography with security improvement against neural network steganalysis", Computers and Electrical Engineering, 2023 May vol. 108, no. 1, pp.1-10, 2023.

13

B. Roshanfekr, M. Amir Mazlaghani, M. Rahmati, "Learning graph from graph signals: An approach based on sensitivity analysis over a deep learning framework", Knowledge-Based Systems, 2022 Nov vol. 260, no. 1, pp.1-15, 2022.

14

A. Sarvar, M. Amir Mazlaghani, "Defense against adversarial examples based on wavelet domain analysis", Applied Intelligence, 2022 Apr vol. 1, no. 1, pp.1-17, 2022.

15

A. Morteza, M. Amir Mazlaghani, "A Novel Gaussian-Copula modeling for image despeckling in the shearlet domain", Signal Processing, 2022 Mar vol. 192, no. 1, pp.1-20, 2022.

16

H.R. Hakim Davoodi, M. Amir Mazlaghani, H. Amindavar, "A new multivariate equation-error autoregressive moving average system with conditional heteroscedastic noise: Maximum likelihood identification", Digital Signal Processing, 2021 Nov vol. 118, no. 1, pp.1-20, 2021.

17

S. Etemad, M. Amir Mazlaghani, "Color texture image retrieval based on Copula multivariate modeling in the Shearlet domain", Engineering Applications of Artificial Intelligence, 2021 Jun vol. 102, no. 102, pp.1-17, 2021.

18

M. Saremi, M. Amir Mazlaghani, "Reconstruction of Gene Regulatory Networks using Multiple Datasets", Ieee-Acm Transactions On Computational Biology and Bioinformatics, 2021 Feb vol. 0, no. 0, , 2021.

19

M. Amir Mazlaghani, A. Salimi, "A Novel Wavelet Domain Speckle Suppression Method for SAR Images", , 2021 Jan vol. 7, no. 2, pp.93-104, 2021.

20

A. Morteza, M. Amir Mazlaghani, "A novel statistical approach for multiplicative speckle removal using t-locations scale and non-sub sampled shearlet transform", Digital Signal Processing, 2020 Dec vol. 107, no. 0, pp.1-21, 2020.

21

H.R. Hakim Davoodi, M. Amir Mazlaghani, "Using autoregressive-dynamic conditional correlation model with residual analysis to extract dynamic functional connectivity", Journal of Neural Engineering, 2020 Jun vol. 17, no. 3, pp.1-35, 2020.

22

S. Hosseinzadeh, M. Amir Mazlaghani, M. Shajari, "An aggregated statistical approach for network flood detection using Gamma-Normal mixture modeling", Computer Communications, 2020 Jan vol. 152, no. 0, pp.137-148, 2020.

23

Mansoor Rezghi, M. Amir Mazlaghani, "Even-order Toeplitz tensor: framework for multidimensional structured linear systems", Computational and Applied Mathematics, 2019 Sep vol. 38, no. 3, pp.1-24, 2019.

24

A.M. Ahmadian, M. Amir Mazlaghani, "A novel secret image sharing with steganography scheme utilizing Optimal Asymmetric Encryption Padding and Information Dispersal Algorithms", Signal Processing-Image Communication, 2019 May vol. 74, no. 0, pp.78-88, 2019.

25

M. Amir Mazlaghani, "Heteroscedastic watermark detector in the contourlet domain", Iet Computer Vision, 2019 Apr vol. 13, no. 3, pp.249-260, 2019.

26

M. Hajiali, M. Amir Mazlaghani, H. Kordestani, "Preventing phishing attacks using text and image watermarking", Concurrency and Computation-Practice and Experience, 2018 Nov vol. 32, no. 1, pp.1-11, 2018.

27

S. Etemad, M. Amir Mazlaghani, "A new multiplicative watermark detector in the contourlet domain using t Location-Scale distribution", Pattern Recognition, 2018 May vol. 77, no. 0, pp.99-112, 2018.

28

M. Hassannezhad Bibalan, H. Amindavar, M. Amir Mazlaghani, "Characteristic function based parameter estimation of skewed alpha-stable distribution: An analytical approach", Signal Processing, 2017 Jan vol. 130, no. 0, pp.323-336, 2017.

29

M. Amir Mazlaghani, "Additive watermark detection in the wavelet domain using 2D-GARCH model", Information Sciences, 2016 Nov vol. 370, no. 0, pp.1-17, 2016.

30

Mehdi Rabizadeh, M. Amir Mazlaghani, Mahmoud Ahmadian-attari, "A new detector for contourlet domain multiplicative image watermarking using Bessel K form distribution", Journal of Visual Communication and Image Representation, 2016 Oct vol. 40, no. 0, pp.324-334, 2016.

31

S.M.A. Tayaranian Hosseini, H. Amindavar, M. Amir Mazlaghani, "A New Robust Vital Sign Detection in Complex Environments Using Ultrawideband Radar", Ieee Transactions On Geoscience and Remote Sensing, 2016 Aug vol. 54, no. 11, pp.6771-6782, 2016.

32

S.M.A. Tayaranian Hosseini, H. Amindavar, M. Amir Mazlaghani, "A new robust vital sign detection in complex environments using ultrawideband radar", Ieee Transactions On Geoscience and Remote Sensing, 2016 Jul vol. 54, no. 11, pp.6771-6782, 2016.

33

M. Amir Mazlaghani, Mansoor Rezghi, H. Amindavar, "A novel robust scaling image watermarking scheme based on Gaussian Mixture Model", Expert Systems With Applications, 2015 Mar vol. 42, no. 4, pp.1960-1971, 2015.

34

M. Amir Mazlaghani, H. Amindavar, "Statistical modeling and denoising Wigner-Ville distribution", Digital Signal Processing, 2013 Feb vol. 23, no. 2, pp.506-513, 2013.

35

M. Amir Mazlaghani, H. Amindavar, "A Novel Sparse Method for Despeckling SAR Images", Ieee Transactions On Geoscience and Remote Sensing, 2012 Dec vol. 50, no. 12, pp.5024-5032, 2012.

36

Sara Mihandoost, Mehdi Amirani, M. Amir Mazlaghani, Mihandoost, "Automatic feature extraction using generalised autoregressive conditional heteroscedasticity model:an application to electroencephalogram classification", Iet Signal Processing, 2012 Sep vol. 6, no. 9, pp.829-838, 2012.

37

M. Amir Mazlaghani, H. Amindavar, "Wavelet Domain Bayesian Processor for Speckle Removal in Medical Ultrasound Images", Iet Image Processing, 2012 Jul vol. 6, no. 5, pp.580-588, 2012.

38

M. Amir Mazlaghani, H. Amindavar, "Two Novel Bayesian Multiscale Approaches for Speckle Suppression in SAR Images", Ieee Transactions On Geoscience and Remote Sensing, 2010 Jul vol. 48, no. 7, pp.2980-2993, 2010.

39

A. Ghiasvand, A. Javaherian, M. Amir Mazlaghani, M.R. Saberi, H. Mahdavi Basir, B. Khadem, "Determining acoustic impedance cube by inverting seismic data using feedforward and radial basis neural networks in an Iranian oilfield", Scientific Reports, 2026 Winter vol. 16, no. 1, pp.1-21, 2026.

Conference Papers

1

A. Ghiasvand, A. Javaherian, M. Amir Mazlaghani, Mohammad Reza Saberi, H. Mahdavi Basir, Benyamin Khadem, Benyamin Khadem, "Physics-guided machine learning for acoustic impedance inversion: a comparative study of MLFN and RBFN in data-constrained in an oilfield using rock physics-based pseudo-wells,", The 7th Applied Geophysics Conference in Oil Exploration, Oct 2025.

2

A. Ghiasvand, A. Javaherian, M. Amir Mazlaghani, Mohammad Reza Saberi, Mohammad Reza Saberi, H. Mahdavi Basir, Benyamin Khadem, "Novel Integration of Seismic Attributes and Geochemical Ratios in Hydrocarbon Exploration,", The 7th Applied Geophysics Conference in Oil Exploration, Oct 2025.

3

T.S. Mohadese, A. Javaherian, M. Amir Mazlaghani, H. Mahdavi Basir, "Using machine learning algorithms to detect faults in seismic data,", 21st Iranian Geophysical Conference, Dec 2024.

4

M. Firouzbakht, M. Amir Mazlaghani, "Enhanced Breast Cancer Classification with Neighborhood Attention Transformer and Wavelet Scattering Transform,", 10th International Conference on Signal Processing and Intelligent Systems (ICSPIS), Dec 2024.

5

S.A. Tabatabaee, Z. Dehghanian, N. Movaghatian, M. Amir Mazlaghani, "No more blah-blah: Embracing real text in the image synthesis world,", The International Conference on Learning Representations (ICLR) 2024, May 2024.

6

M. Niknejad, M. Firouzbakht, M. Amir Mazlaghani, "Enhancing Precision in Dermoscopic Imaging using TransUNet and CASCADE,", 32nd International Conference on Electrical Engineering (ICEE), May 2024.

7

H. Mohasel Arjomandi, M. Khalooei, M. Amir Mazlaghani, "Limited Budget Adversarial Attack Against Online Image Stream,", ICML 2021 Workshop on Adversarial Machine Learning, Jul 2021.

8

A. Arjomandbigdeli, M. Amir Mazlaghani, M. Khalooei, "Defense against adversarial attacks using DRAGAN,", 6th Iranian Conference on Signal Processing and Intelligent Systems, Dec 2020.

9

M. Amir Mazlaghani, "new method,", ISC, Oct 2018.

10

S. Etemad, M. Amir Mazlaghani, "A new statistical detector for CT-based multiplicative image watermarking using the t location-scale distribution,", 9th International Conference on Information and Knowledge Technology, Oct 2017.

11

M. Amir Mazlaghani, "A Novel Statistical Detector for Contourlet Domain Image Watermarking Using 2D-GARCH Model,", 19th International conference on Image Analysis and Processing - ICIAP 2017, Sep 2017.

12

F. Saleh, M. Amir Mazlaghani, "A Novel Multiplicative Steganography Technique in Contourlet Domain,", 14th International ISC conference on information security & cryptology, Sep 2017.

13

A.M. Ahmadian, M. Amir Mazlaghani, "Computationally Secure Secret Image Sharing,", 25th Iranian Conference on Electrical Engineering, May 2017.

14

M. Barazandeh, M. Amir Mazlaghani, "A new statistical detector for additive image watermarking based on dual-tree complex wavelet transform,", 2nd International Conference on Signal Processing And Intelligence System, Dec 2016.

15

H.R. Hakim Davoodi, M. Amir Mazlaghani, "Maximum likelihood estimation of generalized linear models with generalized Gaussian residuals,", 2016 2nd International Conference of Signal Processing and Intelligent Systems (ICSPIS), Dec 2016.

16

S. Etemad, M. Amir Mazlaghani, "Additive Watermark Detector in Contourlet Domain Using the t Location-Scale Distribution,", 2nd International Conference on Signal Processing And Intelligence System, Dec 2016.

17

S. Hosseinzadeh, M. Amir Mazlaghani, "Anomaly detection in network traffic using wavelet transform and generalized likelihood ratio test,", Computer Society of Iran Computer Conference (CSICC 2016), Mar 2016.

18

S. Norouzi Poudeh, M. Amir Mazlaghani, "Robust audio watermarking in wavelet domain based on generalized Gaussian Distribution,", Computer Society of Iran Computer Conference (CSICC 2016), Mar 2016.

19

Habib Yajam, A.S. Mousavi, M. Amir Mazlaghani, "A new linguistic steganography scheme based on lexical substitution,", 11th International ISC Conference on Information Security and Cryptology (ISCISC), 2014, Sep 2014.

20

M. Amir Mazlaghani, H. Amindavar, "A Novel Curvelet Domain Speckle Suppression Method for SAR Images,", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2012) c, Mar 2012.

21

M. Amir Mazlaghani, H. Amindavar, "A NOVEL CURVELET DOMAIN SPECKLE SUPPRESSION METHOD FOR SAR IMAGES,", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP, Mar 2012.

22

Hamed Danandeh, Hamid Abrishami Moghaddam, M. Amir Mazlaghani, "Tracking of Multiple Number of Deformable Cells Using Toboggan Edge Preserving Smoothing and correlation coefficient and Rao- Blackwellized Particle Filter with adaptive template update,", 18th Iranian Conference of Biomedical Engineering ICBME 2011, Dec 2011.

23

M. Amir Mazlaghani, H. Amindavar, "A novel statistical approach for speckle filtering of SAR images,", IEEE DSP/SPE Workshop 2009, Jan 2010.

24

M. Amir Mazlaghani, H. Amindavar, "Modeling and Denoising Wigner-Ville Distribution,", IEEE DSP/SPE workshop 2009, Jan 2010.

25

M. Amir Mazlaghani, H. Amindavar, "A novel wavelet domain statistical approach for denoising SAR images,", IEEE International Conference on Image Processing (ICIP), 2009, Nov 2009.

26

M. Amir Mazlaghani, H. Amindavar, "EMG Signal Denoising via Bayesian Wavelet Shrinkage Based on GARCH Modeling,", IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009, Apr 2009.

27

M. Amir Mazlaghani, H. Amindavar, "Speckle suppression in medical ultrasound images using two dimensional GARCH model,", IEEE Pacific Rim Conference on Communication, Computer and Signal Processing 2007, Aug 2007.

28

M. Amir Mazlaghani, H. Amindavar, "Image Denoising Using Two-Dimensional GARCH Model,", IWSSIP and EC-SIPMCS 2007, Jun 2007.

29

M. Amir Mazlaghani, Mahmoud Salmasizadeh, Javad Mohajeri, "A new exact payment method with user anonymity,", iscisc, Sep 2005.

Taught Courses

#

Course title

Description

Headlines

Date

1

Data Mining

4051

2

Convex Optimization

4051

3

Trustworthy Machine Learning

پیشرفت های اخیر در یادگیری ماشین، به ویژه شبکه های عصبی عمیق و مدل های زبان بزرگ، طراحی و اجرای سیستم ها را متحول کرده است. با این حال، به د�

4042

4

Applied Linear Algebra

4032

5

(Foundations of Statistical Learning)

4032

6

(Convex Optimization)

4031

7

Engineering Mathematics

4031

8

Data Mining

4031

Inventions/Patents

#

Invention title

Reg. number

Country

contributers

Reg. date

Exp. date

1

ACTIVITY IDENTIFICATION OF A BRAIN REGION

2024/11/1

-

2

GENERALIZED LIKELIHOOD RATIO TEST (GLRT) BASED NETWORK INTRUSION DETECTION SYSTEM IN WAVELET DOMAIN

2021/09/1

-