Saeed Akhavan Behabadi

1. Robust 3-D Multi-Source Localization With a Movable Antenna Array via Sparse Signal Processing

mansourian amir, FADAKAR ALIREZA, Akhavan Behabadi Saeed, maham behrouz (2025)., IEEE Open Journal of the Communications Society, 6(-), 3664-3682.

2. SUM: Saliency Unification Through Mamba for Visual Attention Modeling

hoseini alireza, kazerouni amirhossein, Akhavan Behabadi Saeed, Brudno Michael, Taati Babak (2025)., 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 26 February-6 March, Tucson, United States Of America (USA).

1. Multi-Source 2D-AOA Estimation via Deep Learning

fadakar alireza, jafari ashkan, Akhavan Behabadi Saeed (2024)., 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall), 7-10 October, Washington, D.C., United States Of America (USA).

2. Enhanced K-SVD Based Approach for Multi-Source 3D Localization with a Mobile Receiver

mansourian amir, fadakar alireza, Akhavan Behabadi Saeed (2024)., 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall), 7-10 October, Washington, D.C., United States Of America (USA).

3. Localization Using Convolutional Neural Networks with Mobile Array

fadakar alireza, mansourian amir, Akhavan Behabadi Saeed (2024)., 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall), 7-10 October, Washington, D.C., United States Of America (USA).

4. Deep learning based 2D-DOA estimation using L-shaped arrays

fadakar alireza, jafari ashkan, tavana parisa, jahani reza, Akhavan Behabadi Saeed (2024)., JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 361(6), 106743.

1. Deep learning aided multi-source passive 3D AOA wireless positioning using a moving receiver: A low complexity approach

fadakar alireza, mansourian amir, Akhavan Behabadi Saeed (2023)., Ad Hoc Networks, 154(154).

1. Dictionary learning for sparse representation of signals with hidden Markov model dependency

Akhavan Behabadi Saeed, Baghestani Barzoki Farnoush, [] [], Karami Ali, Soltanian Zadeh Hamid (2022)., DIGITAL SIGNAL PROCESSING, 123(123), 103420.

1. Blind separation of sparse sources from nonlinear mixtures

Akhavan Behabadi Saeed, Soltanian Zadeh Hamid (2021)., DIGITAL SIGNAL PROCESSING, 118(103220), 103220.

2. Alternating Projection Approach for Nonlinear Blind Separation of Sparse Sources

Akhavan Behabadi Saeed, Soltanian Zadeh Hamid (2021)., 2021 29th European Signal Processing Conference (EUSIPCO), 23-27 August.

1. Geometry‐based solution of joint diagonalisation in blind source separation

Akhavan Behabadi Saeed, Esmaeilidarake Samaneh, Soltanian Zadeh Hamid (2019)., IET SIGNAL PROCESSING, 13(9), 755-765.

2. A dictionary learning approach for spatio-temporal characterization of absence seizures

Akhavan Behabadi Saeed, Phlypo R., Soltanian Zadeh Hamid, Kamarehei Mahmoud, Jutten cii (2019)., PHYSIOLOGICAL MEASUREMENT, 40(10).

3. Separation of static and dynamic sources in absence epileptic seizures using depth cortical measurements

Akhavan Behabadi Saeed, Ronald Phlypo, Kamarehei Mahmoud, Soltanian Zadeh Hamid, Jutten cao (2019)., SIGNAL PROCESSING, -(-).

4. Spatio Temporal Modeling of Absence Epileptic Seizures Using Depth Recordings

Akhavan Behabadi Saeed, Kamarehei Mahmoud, Soltanian Zadeh Hamid (2019)., IEEE EUROCON 2019 -18th International Conference on Smart Technologies, 1-4 July.

5. Multichannel blind deconvolution via maximum likelihood estimator: application in neural recordings

Akhavan Behabadi Saeed, Esmaeili Samane, Kamarehei Mahmoud, Soltanian Zadeh Hamid (2019)., Inverse Problems, -(-).

1. Geometrical Interpretation of Joint Diagonalization

Akhavan Behabadi Saeed, esmaeili S.., Kamarehei Mahmoud, Soltanian Zadeh Hamid (2018)., 2018 25th National and 3rd International Iranian Conference on Biomedical Engineering (ICBME), 29-30 November, Qom, Iran.

2. Learning Overcomplete Dictionaries from Markovian Data

Akhavan Behabadi Saeed, Esmaeili Samane, Babaie-Zadeh Masoud, Soltanian Zadeh Hamid (2018)., 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM), 8-11 July, Sheffield, England.

3. Unmixing of Absence Epileptic Seizures in GAERS

Akhavan Behabadi Saeed, Ronald Phlypo, Soltanian Zadeh Hamid, Kamarehei Mahmoud, Christian Jutten (2018)., 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM), 8-11 July, Sheffield, England.

4. Static and Dynamic Modeling of Absence Epileptic Seizures Using Depth Recordings

Akhavan Behabadi Saeed, Phlypo Ronald, Soltanian Zadeh Hamid, Kamarehei Mahmoud, C Jutten (2018)., International Conference on Latent Variable Analysis and Signal Separation, 2-6 July, England.

1. Dictionary Learning for Sparse Representation Based on Smoothed L0 Norm

Akhavan Behabadi Saeed, Soltanian Zadeh Hamid (2017)., 2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME), 30 November-1 December.

2. Topology tracking of static and dynamic networks based on structural equation models

Akhavan Behabadi Saeed, Soltanian Zadeh Hamid (2017)., 19th Artificial Intelligence and Signal Processing Conference (AISP’2017), 25-27 October, Shiraz, Iran.

3. Characterizing Absence Epileptic Seizures from Depth Cortical Measurements

Akhavan Behabadi Saeed, Phlypo R., Soltanian Zadeh Hamid, Studer F., Depaulis A., Jutten C. (2017)., 25th European Signal Processing Conference, 28 August-2 September, Athens, Greece.

1. Universal Image Steganalysis Based on GARCH Model

Akhavan Behabadi Saeed, Akhaey Mohammad Ali, Sarreshtedari Saeed (2014)., 22th European Signal Processing Conference, 1-5 September, Lisbon, Portugal.