Ali Aroudi was with the Speech Processing Group at university of Sharif, Tehran, Iran, from 2010 to 2013. He received his master degree in Electrical Engineering in 2012. He was with the Speech Processing Group at Ozyegin university, Istanbul, Turkey, as a research assistant from 2013 to 2014. Since 2014 he is a Ph.D. candidate in the Signal Processing Group at the University of Oldenburg. 

• Machine learning and signal processing
• Brain-computer interface
• Single and multichannel speech enhancement

1. A. Aroudi, S. Doclo, Cognitive-driven binaural beamforming using EEG-based auditory attention decoding, IEEE/ACM Trans. Audio, Speech and Language Processing, in press.
2. A. Aroudi, B. Mirkovic, M. De Vos, S. Doclo, Impact of Different Acoustic Components on EEG-based Auditory Attention Decoding in Noisy and Reverberant Conditions, IEEE Trans. Neural Systems and Rehabilitation Engineering, vol. 27, no. 4, pp. 652-663, Apr. 2019.
3. A. Aroudi, H. Veisi, and H. Sameti, Hidden Markov model-based speech enhancement using multivariate Laplace and Gaussian distributions, IET Signal Processing, vol. 9, no. 2, pp. 177–185, 2015.
4. A. Aroudi, H. Veisi, H. Sameti, and Z. Mafakheri, Speech signal modeling using multivariate distributions, EURASIP Journal on Audio, Speech, and Music Processing, vol. 2015, no. 1, p. 35, 2015.

1. A. Aroudi, T. de Taillez, S. Doclo, Improving auditory attention decoding performance of linear and non-linear methods using state-space model, in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, May 2020.
2. A. Aroudi, S. Doclo, Cognitive-driven binaural LCMV beamformer using EEG-based auditory attention decoding, in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, UK, May 2019, pp. 406-410.
3. A. Aroudi, D. Marquardt, S. Doclo, EEG-based auditory attention decoding using steerable binaural superdirective beamformer, in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Canada, Apr. 2018.
4. A. Aroudi and S. Doclo, EEG-based Auditory Attention Decoding: Impact of Reverberation, Noise and Interference Reduction, in Proc. IEEE International Workshop on Brain-Machine Interface Systems, Banff, Canada, Oct. 2017.
5. A. Aroudi and S. Doclo, EEG-based auditory attention decoding using unprocessed binaural signals in reverberant and noisy conditions, in Proc. International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jeju, South Korea, 2017.
6. A. Aroudi, B. Mirkovic, M. De Vos, and S. Doclo, Auditory attention decoding with EEG recordings using noisy acoustic reference signals, in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, Mar. 2016, pp. 694–698.
7. A. Aroudi, B. Mirkovic, M. De Vos, and S. Doclo, Influence of noisy reference signals on selective attention decoding, in Proc. Int. Conf. of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, Italy, 2015.
8. A. Aroudi, H. Veisi, and H. Sameti, Speech enhancement based on hidden Markov model with discrete cosine transform coefficients using Laplace and Gaussian distributions, in Proc. IEEE International Conference on Information Science, Signal Processing and their Applications (ISSPA), 2012 11th International Conference on. IEEE, 2012, pp. 304–309.

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