Sajjad Afrakhteh

Assegnista di ricerca

Dipartimento di Ingegneria e Scienza dell'Informazione

Via Sommarive, 9 - 38123 Povo

sajjad.afrakhteh[at]unitn [dot] it

Competenze:

Biologia computazionale

Calcolo

Diagnostica biomedica per immagini

Elaborazione del segnale

Elaborazione digitale delle immagini

Elettronica

Gestione dei dati

Imaging ad ultrasuoni

Intelligenza artificiale

Interazione macchina-persona (HCI)

Modelli e simulazioni

Ottimizzazione

Ricerca di informazioni

Salute mentale

Sistemi informatici

Formazione

2021, PhD at Iran University of Science and Technology (IUST),Tehran, Iran.

2017, M.SC at Iran University of Science and Technology (IUST),Tehran, Iran.

2015, B.Sc at Shiraz University of Technology (SUTECH), Shiraz, Iran.

Carriera accademica ed attività didattica

Positions

January 2022 - Present, Postdoc Position at University of Trento, Italy. Working with Prof Libertario Demi and Prof. Giovanni Iacca

IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY, TEHRAN (IRAN)
Teacher Assistant in Ultrasound (2021)
Teacher Assistant in Discrete-Time Signal Processing (2020)
Teacher Assistant in Discrete-Time Signal Processing (2019)
Teacher Assistant in Signal and Systems (2019)
Teacher Assistant in Discrete-Time Signal Processing (2018)
Teacher Assistant in Discrete-Time Signal Processing (2017)
Teacher Assistant in Ultrasound (2020)
Teacher Assistant in Electronic 1 (2015)
Teacher Assistant in Electronic 2 (2016)
SHIRAZ UNIVERSITY OF TECHNOLOGY, SHIRAZ (IRAN)
Teacher Assistant in Differential Equations (2014)
Teacher Assistant in Differential Equations (2013)

Interessi di ricerca

Ultrasound Imaging

Artificial Intelligence

Image Processing

Signal Processing

System Design

Attività di ricerca

As Co-supervisor at Iran University of Science and Technology in the fields of :

Medical Image Classification

Medical Ultrasound Imaging

Beamforming

EEG Signal Processing

Appartenenza a società e comitati scientifici

Reviewer at

Ultrasonics (Elsevier)

Memetic Computing (Springer)

Premi e riconoscimenti

National Elite Foundation Scholarship, 2017.

National Elite Foundation Scholarship, 2018.

Ahadi Prize of the National Elite Foundation for doctoral studies, 2017-2021.

Undergraduate Student Award (First Grade), 2017.

Altre attività


TITOLO	CITATA DA	ANNO
High-resolution and high-contrast ultrafast ultrasound imaging using coherent plane wave adaptive compounding M Hashemseresht, S Afrakhteh, H Behnam Biomedical Signal Processing and Control 73, 103446		2022
Efficient Synthetic Transmit Aperture Ultrasound based on Tensor Completion S Afrakhteh, H Behnam Ultrasonics 117, 106553	1	2021
Coherent Plane Wave Compounding Combined with Tensor Completion Applied for Ultrafast Imaging S Afrakhteh, H Behnam IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 68 …	2	2021
Classification of sleep apnea using EMD-based features and PSO-trained neural networks S Afrakhteh, A Ayatollahi, F Soltani Biomedical Engineering/Biomedizinische Technik 66 (5), 459-472		2021
Low-complexity adaptive minimum variance ultrasound beam-former based on diagonalization S Afrakhteh, H Behnam Biomedical Signal Processing and Control 62, 102110	3	2020
A fast and high frame rate adaptive beamforming using DCT‐based RF‐line recovery in line‐by‐line ultrasound imaging S Afrakhteh, H Behnam International Journal of Imaging Systems and Technology 30 (4), 1080-1094	2	2020
Applying an efficient evolutionary algorithm for EEG signal feature selection and classification in decision-based systems S Afrakhteh, MR Mosavi Energy Efficiency of Medical Devices and Healthcare Applications, 25-52	3	2020
An efficient method for selecting the optimal features using evolutionary algorithms for epilepsy diagnosis S Afrakhteh, MR Mosavi Journal of Circuits, Systems and Computers 29 (12), 2050195	3	2020
Energy Efficiency of Medical Devices and Healthcare Applications A Abdaoui, AA Abdellatif, S Afrakhteh, A Al-Ali, AAM Ms, CF Chiasserini, ... Elsevier 1, 1-170		2020
An efficient method for classifying motor imagery using CPSO-trained ANFIS prediction MR Mosavi, A Ayatollahi, S Afrakhteh Evolving Systems, 1-18	10	2019
Accurate classification of EEG signals using neural networks trained by hybrid population-physic-based algorithm S Afrakhteh, MR Mosavi, M Khishe, A Ayatollahi International Journal of Automation and Computing	22	2018
Classification of two motor imagery based on EEG signals in brain computer interface systems using LDA, SVM and GMM methods S Afrakhteh, A Amirkhani, MR Mosavi, A Ayatollahi		2016
Review and comparing different types of D flip-flops in terms of delay and their sensitivity to the power supply changes S Afrakhteh 1st. International Conference on Application of Research in Sciences and …		2016

Note

You can access my other links:

Researchgate

Google Scholar

LinkedIn

Email address: sajjad.afrakhteh@unitn.it