Journal papers
Eqlimi, E., Bockstael, A., De Coensel, B., Schönwiesner, M., Talsma, D., & Botteldooren, D. (2023). Time course of EEG complexity reflects attentional engagement during listening to speech in noise. European Journal of Neuroscince, [PDF].
Eqlimi, E., Bockstael, A., De Coensel, B., Schönwiesner, M., Talsma, D., & Botteldooren, D. (2020). EEG correlates of learning from speech presented in environmental noise. Frontiers in Psychology, 11, 1850, [PDF].
De Groote, E., Eqlimi, E., Bockstael, A., Botteldooren, D., Santens, P., & De Letter, M. (2021). Parkinson’s disease affects the neural alpha oscillations associated with speech‐in‐noise processing. European Journal of Neuroscience, 54(9), 7355-7376., [PDF].
Eqlimi, E., Makkiabadi, B., Samadzadehaghdam, N., Khajehpour, H., Mohagheghian, F., & Sanei, S. (2019). A novel underdetermined source recovery algorithm based on k-sparse component analysis. Circuits, Systems, and Signal Processing. Circuits, Systems, and Signal Processing, 38, 1264-1286, [PDF].
Conference proceedings papers (Full paper)
Eqlimi E, Makkiabadi B, Kouti M, Fotouhi A, Sanei S. Underdetermined Blind Identification via k-Sparse Component Analysis: RANSAC-driven Orthogonal Subspace Search. in proceeding of EUSICO 2023, Helsinki, Finland. [PDF], [Matlab Codes].
Sun P, Eqlimi E, Chua Y, Devos P, Botteldooren D (2023), Adaptive Axonal Delays in feedforward spiking neural networks for accurate spoken word recognition, in proceeding of ICASSP 2023, Greece, [PDF].
Eqlimi E, Bockstael A, De Coensel B, Schönwiesner M, Talsma D and Botteldooren D (2021), EEG correlates of environmental noise impact in daily life. in proceeding of 13th ICBEN Congress on Noise as a Public Health Problem, Stockholm, Sweden (ICBEN 2021), pp. 7631-7638, [PDF].
Vonck J, De Winne J, Eqlimi E, Botteldooren D, A bio-monitoring tool for quantifying the effect of sound - and landscape on mental restoration in real nature and in virtual reality, in proceeding of Euronoise 2021, Portugal, [PDF].
Eqlimi E, Botteldooren D, Bockstael A. Evaluating potential EEG-indicators for auditory attention to speech in realistic environmental noise, in 23rd International Congress on Acoustics (ICA), integrating 4th EAA Eu- roregio 2019, Aachen, Germany, [PDF].
Fotouhi A, Eqlimi E, Makkiabadi B, Adaptive localization of moving EEG sources using augmented complex tensor factorization, in 40th International Conference on Telecommunications and Signal Processing (TSP), IEEE, 2017, pp. 439-443, [PDF].
Aarabi MH, Kamalian A, Mohajer B, Shirin Shandiz M, Eqlimi E et al., A statistical approach in human brain connectome of Parkinson Disease in elderly people using Network Based Statistics, in 2015 37th Annual In- ternational Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, Italy, 2015, pp. 4310-4313, [PDF].
Eqlimi E, Makkiabadi B, An efficient k-SCA based underdetermined channel identification algorithm for online applications, in 23rd European Signal Processing Conference (EUSIPCO) (IEEE, 2015), pp. 2661–2665. [PDF], [Matlab Codes V1], [Matlab Codes V2].
Eqlimi E, Makkiabadi B, Multiple sparse component analysis based on subspace selective search algorithm, in 2015 23rd Iranian Conference on Electrical Engineering (ICEE) (IEEE, 2015), pp. 550–554, [PDF], [Matlab Codes].
Eqlimi E, Riyahi Alam N, Sahraian M, Eshaghi A, Riyahi Alam S, Ghanaati H, Firouznia K, Karami E, Resting state functional connectivity analysis of multiple sclerosis and neuromyelitis optica using graph theory, XIII Mediterranean Conference on Medical and Biological Engineering and Computing, 2013 (41) (2013), pp. 206-209, [PDF].
Doctoral Thesis
Eqlimi, E. (2022). Exploring neural markers modulated by learning from speech in environmental noise using single-trial EEG (Doctoral dissertation, Ghent University), [PDF].
Master Thesis
Eqlimi, E. (2012). Analysis of Brain Networks in functional MRI using graph theory for patients with MS and NMO, (in Persian, Msc in Biomedical Engineering dissertation, Tehran University).