Ehsan Eqlimi

Faculty of Psychology and Educational Sciences > Department of Data-analysis

ORCID iD: 0000-0001-7108-9290
Bio (via ORCID): Postdoc at Ghent University, with a Ph.D. from the same university. Exclusively focused on EEG signal processing and brain oscillations analysis, with a perspective rooted in signal processing, statistical learning, and linear algebra, while also caring about auditory neuroscience. Check my website: https://ehsaneqlimi.github.io/

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- Conference Paper
- open access
Underdetermined Blind Identification via k-Sparse Component Analysis: RANSAC-driven Orthogonal Subspace Search

Ehsan Eqlimi (UGent) , Bahador Makkiabadi, Mayadeh Kouti, Ardeshir Fotouhi and Saeid Sanei

(2023) 2023 31st European Signal Processing Conference (EUSIPCO).
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Time course of EEG complexity reflects attentional engagement during listening to speech in noise

Ehsan Eqlimi (UGent) , Annelies Bockstael (UGent) , Marc Schonwiesner, Durk Talsma (UGent) and Dick Botteldooren (UGent)

(2023) EUROPEAN JOURNAL OF NEUROSCIENCE. 58(9). p.4043-4069
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- Conference Paper
- C1
- open access
Adaptive axonal delays in feedforward spiking neural networks for accurate spoken word recognition

Pengfei Sun (UGent) , Ehsan Eqlimi (UGent) , Yansong Chua, Paul Devos (UGent) and Dick Botteldooren (UGent)

(2023) ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
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- Conference Paper
- C3
- open access
Localization of cortical response to audiovisual, visual, and auditory speech stimuli using functional near-infrared spectroscopy : an exploratory study in normal-hearing adults

Dorien Ceuleers (UGent) , Ehsan Eqlimi (UGent) , Freya Swinnen (UGent) , Hannah Keppler (UGent) and Ingeborg Dhooge (UGent)

(2023) 11th International Symposium on Objective Measures in Auditory Implants (OMAI 2023).
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- PhD Thesis
- open access
Exploring neural markers modulated by learning from speech in environmental noise using single-trial EEG

Ehsan Eqlimi (UGent)

(2022)
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A bio-monitoring tool for quantifying the effect of sound and landscape on metal restoration in real nature and in virtual reality

Jolien Vonck, Jorg De Winne (UGent) , Ehsan Eqlimi (UGent) and Dick Botteldooren (UGent)

(2021) Euronoise 2021, Integrating the Iberian Encouter of Acoustics and the 52nd Spanish Congress on Acoustics, Proceedings. p.157-166
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- Conference Paper
- C1
- open access
EEG correlates of environmental noise impact in daily life

Ehsan Eqlimi (UGent) , Annelies Bockstael (UGent) , Bert De Coensel (UGent) , Durk Talsma (UGent) , Marc Schoenwiesner and Dick Botteldooren (UGent)

(2021) 13th ICBEN Congress on Noise as a Public Health Problem, Proceedings.
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Parkinson’s disease affects the neural alpha oscillations associated with speech-in-noise processing

Evelien De Groote (UGent) , dr. ing. Ehsan Eqlimi (UGent) , Annelies Bockstael (UGent) , Dick Botteldooren (UGent) , Patrick Santens (UGent) and Miet De Letter (UGent)

(2021) EUROPEAN JOURNAL OF NEUROSCIENCE. 54(9). p.7355-7376
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- Journal Article
- A1
- open access
EEG correlates of learning from speech presented in environmental noise

dr. ing. Ehsan Eqlimi (UGent) , Annelies Bockstael (UGent) , Bert De Coensel (UGent) , Marc Schönwiesner, Durk Talsma (UGent) and Dick Botteldooren (UGent)

(2020) FRONTIERS IN PSYCHOLOGY. 11.
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- Conference Paper
- C1
- open access
Evaluating potential EEG-indicators for auditory attention to speech in realistic environmental noise

dr. ing. Ehsan Eqlimi (UGent) , Annelies Bockstael, Bert De Coensel (UGent) and Dick Botteldooren (UGent)

(2019) Proceedings of the 23rd International Congress on Acoustics : integrating 4th EAA Euroregio 2019 : 9-13 September 2019 in Aachen, Germany. p.7631-7638
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A novel underdetermined source recovery algorithm based on k-sparse component analysis

dr. ing. Ehsan Eqlimi (UGent) , Bahador Makkiabadi, Nasser Samadzadehaghdam, Hassan Khajehpour, Fahimeh Mohagheghian and Saeid Sanei

(2019) CIRCUITS, SYSTEMS, AND SIGNAL PROCESSING. 38(3). p.1264-1286
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- Miscellaneous
Adaptive localization of moving EEG sources using augmented complex tensor factorization

Ardeshir Fotouhi, dr. ing. Ehsan Eqlimi (UGent) and Bahador Makkiabadi

(2017) 2017 40th International Conference on Telecommunications and Signal Processing (TSP).
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- Conference Paper
- C3
An efficient K-SCA based unerdetermined channel identification algorithm for online applications

dr. ing. Ehsan Eqlimi (UGent) and Bahador Makkiabadi

(2015) 2015 23rd European Signal Processing Conference (EUSIPCO).
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- Conference Paper
- C3
Multiple sparse component analysis based on subspace selective search algorithm

dr. ing. Ehsan Eqlimi (UGent) and Bahador Makkiabadi

(2015) 2015 23rd Iranian Conference on Electrical Engineering.

Academic Bibliography

Ehsan Eqlimi

Underdetermined Blind Identification via k-Sparse Component Analysis: RANSAC-driven Orthogonal Subspace Search

Time course of EEG complexity reflects attentional engagement during listening to speech in noise

Adaptive axonal delays in feedforward spiking neural networks for accurate spoken word recognition

Localization of cortical response to audiovisual, visual, and auditory speech stimuli using functional near-infrared spectroscopy : an exploratory study in normal-hearing adults

Exploring neural markers modulated by learning from speech in environmental noise using single-trial EEG

A bio-monitoring tool for quantifying the effect of sound and landscape on metal restoration in real nature and in virtual reality

EEG correlates of environmental noise impact in daily life

Parkinson’s disease affects the neural alpha oscillations associated with speech-in-noise processing

EEG correlates of learning from speech presented in environmental noise

Evaluating potential EEG-indicators for auditory attention to speech in realistic environmental noise

A novel underdetermined source recovery algorithm based on k-sparse component analysis

Adaptive localization of moving EEG sources using augmented complex tensor factorization

An efficient K-SCA based unerdetermined channel identification algorithm for online applications

Multiple sparse component analysis based on subspace selective search algorithm

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