Nazarbayev University
1. [Journal] F. Kozhamkulova and M. T. Akhtar, "A hybrid approach to enhanced signal denoising using data-driven multiresolution analysis with detrended-fluctuation-analysis-based thresholding and stationary wavelet transform," Applied Sciences, vol. 14, no. 23, 2024, issn: 2076-3417. View Publication
2. [Conference] M. T. Akhtar, "On Adaptive Feedback Active Noise Control Systems With Online Adaptation of Secondary Path Estimation Filter," in Proc. IEEE MWSCAS 2024, Aug. 11-14, 2024, Springfield, MA, USA, pp. 698-702.
3. [Conference] B. Kurmangaliyev and M. T. Akhtar, "Weighted singular value thresholding and gradient optimization of Stein's unbiased risk estimate for rank estimation of nonnegative matrix factorization in automatic music transcription," in Proc. 2024 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM'24), August 21-23, 2024, University of Victoria, Victoria, B.C., Canada.
4. [Conference] M. T. Akhtar, "On developing a robust filtered-reference RLS algorithm and its Applications for ANC systems targeting impulsive noise sources," in Proc. 2024 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM'24), August 21-23, 2024, University of Victoria, Victoria, B.C., Canada.
5. [Conference] M. T. Akhtar, "Efficient adaptive feedback cancellation method for digital hearing aids employing short processing delays," in Proc. the 22nd IEEE International NEWCAS Conference (IEEE NEWCASE 2024), 16-19 June 2024, Sherbrooke, Canada, pp. 368-372.
6. [Conference] M. T. Akhtar, "Engaging Undergraduate Students in Signal Processing Research: Vision, Strategy, and A Success Story," in Proc. 15th IEEE Global Engineering Education Conference 2024 (IEEE EDUCON 2024), 8-11 May 2024, Kos International Convention Centre, Kos, Greece.
1. [Journal] S. Yergaliyev and M. T. Akhtar, "A Systematic Review on Distributed Arithmetic-based Hardware Implementation of Adaptive Digital Filters," IEEE Access, vol. 11, pp. 85165-85183, 2023. View Publication
2. [Journal] M. T. Akhtar, "Developing a New Filtered-x Recursive Least Squares Adaptive Algorithm Based on a Robust Objective Function for Impulsive Active Noise Control Systems," Applied Sciences, vol. 13, no. 4, article 2715, Feb. 2023. View Publication
3. [Journal] M. T. Akhtar, F. Albu, and A. Nishihara, "Prediction Error Method (PEM)-Based Howling Cancellation in Hearing Aids: Can We Do Better?" IEEE Access, vol. 11, pp. 337-364, 2023. View Publication
4. [Conference] D. Zhakyp and M. T. Akhtar, "Employing Neighborhood Component Analysis (NCA) as a Feature Selection Method for Surface Electromyography (sEMG) Signal Classification," in Proc. The 2023 24th International Conference Digital Signal Processing (24th DSP 2023), 11-13 June 2023, Island of Rhodes, Greece.
5. [Conference] Z. Ermaganbet, A. Mussabayeva, P. K. Jamwal, and M. T. Akhtar, "Subject-Independent P300 Speller Classification using Time-Frequency Representation and Double Input Convolutional Neural Network with Feature Concatenation," in Proc. The 2023 24th International Conference Digital Signal Processing (24th DSP 2023), 11-13 June 2023, Island of Rhodes, Greece.
6. [Conference] O. Demirel and M. T. Akhtar, "Dual-Input Convolutional Neural Network (DiCNN) Employing Color Normalized and Nuclei Segmented Data for Histopathology Image Classification," in Proc. The 22nd IEEE Statistical Signal Processing Workshop (IEEE SSP 2023), 2-5 July 2023, Hanoi, Vietnam, pp. 378-382.
7. [Conference] F. Kozhamkulova, P. K. Jamwal, and M. T. Akhtar, "Signal Denoising Technique Employing Detrended Fluctuation Thresholding and Stationary Wavelet Transform in the Framework of Data-Driven Multiresolution Analysis," in Proc. IEEE ISCAS 2023, May 21-25, 2023, Monterey, California, USA.
1. [Journal] F. Iqbal, M. Tufail, S. Ahmed, and M. T. Akhtar, "A fractional Taylor series-based least mean square algorithm, and its Applications to power signal estimation," Signal Processing, vol. 193, article 108405, April 2022. View Publication
2. [Conference] D. Ungarbayev, Osman Demirel, and M. T. Akhtar, "Interpretable Automatic Data Augmentation Method for Image Classification," in Proc. APSIPA Annual Summit and Conference 2021(APSIPA ASC 2021), November 7-10, 2022, Chiang Mai, Thailand, pp. 1353-1358.
1. [Journal] A. Mussabayeva, P. K. Jamwal, and M. T. Akhtar, "Ensemble Voting-Based Multi-Channel EEG Classification in Subject-Independent P300 Speller," Applied Sciences, vol. 11, no. 23, article 11252, 2021. View Publication
2. [Journal] R. Zhagypar, K. Zhagyparova, and M. T. Akhtar, "Spatially Smoothed TF-Root-MUSIC for DOA Estimation of Coherent and Non-stationary Sources under Noisy Conditions," IEEE ACCESS, vol. 9, pp. 95754–95766, 2021. View Publication
3. [Journal] M. T. Akhtar, F. Albu, and A. Nishihara, "Maximum Versoria-criterion (MVC)-based adaptive filtering method for mitigating acoustic feedback in hearing-aid devices," Applied Acoustics, vol. 181, article 108156, Oct. 2021. View Publication
4. [Journal] M. T. Akhtar, "Narrowband feedback active noise control systems with secondary path modeling using gain-controlled additive random noise," Digital Signal Processing, vol. 111, article 102976, Apr. 2021. View Publication
5. [Journal] Naveed, M. T. Akhtar, M. F. Siddiqui, and N. ur Rehman, "A statistical approach to signal denoising based on data-driven multiscale representation," Digital Signal Processing, vol. 108, article 102896, Jan. 2021. View Publication
6. [Conference] A. Mussabayeva, Z. Ermaganbet, P. K. Jamwal, and M. T. Akhtar, "Event-related spectrogram representation of EEG for CNN-based P300 speller," in Proc. APSIPA Annual Summit and Conference 2021(APSIPA ASC 2021), Dec 14-17, 2021, Tokyo, Japan, pp. 410-415.
7. [Conference] T. Okhassov, P. K. Jamwal, and M. T. Akhtar, "Cost-effective proportionate affine projection algorithm with variable parameters for acoustic feedback cancellation," in Proc. APSIPA Annual Summit and Conference 2021(APSIPA ASC 2021), Dec 14-17, 2021, Tokyo, Japan, pp. 416-422.
8. [Conference] N. Saidnassim, B. Abdikenov, M. T. Akhtar, R. Kelesbekov, and P. K. Jamwal, "Self-supervised visual transformers for breast cancer diagnosis," in Proc. APSIPA Annual Summit and Conference 2021(APSIPA ASC 2021), Dec 14-17, 2021, Tokyo, Japan, pp. 423-427.
9. [Conference] A. Mussabayeva, P. K. Jamwal, and M. T. Akhtar, "Ensemble learning approach for subject-independent P300 speller," in Proc. IEEE EMBC 2021, Oct. 31 – Nov. 04, 2021, Guadalajara, Mexico, pp. 5900-5903.
10. [Conference] K. Zhagyparova, R. Zhagypar, A. Zollanvari, and M. T. Akhtar, "Supervised learning-based sound source distance estimation using multivariate features," in Proc. 2021 IEEE Region 10 Symposium (TENSYMP 2021), 23-25 August, 2021, Grand Hyatt Jeju, Republic of Korea, pp. 332-336.
1. [Journal] M. T. Akhtar, "On active impulsive noise control (AINC) systems: Developing a filtered-reference adaptive algorithm using convex-combined normalized step-size approach," Circuits, Systems, and Signal Processing, vol. 39, no. 9, pp. 4354–4377, Sept. 2020. View Publication
2. [Conference] R. Zhagypar, K. Zhagyparova, and M. T. Akhtar, "Exploiting the rules of the TF-MUSIC and spatial smoothing to enhance the DOA estimation for coherent and non-stationary sources," in Proc. APSIPA Annual Summit and Conference 2020 (APSIPA ASC 2020), Dec 7-10, 2020, Auckland, New Zealand, pp. 236-241.
3. [Conference] A. Mussabayeva, P. K. Jamwal, and M. T. Akhtar, "Comparison of generic and subject-specific training for features classification in P300 speller," in Proc. APSIPA Annual Summit and Conference 2020 (APSIPA ASC 2020), Dec 7-10, 2020, Auckland, New Zealand, pp. 222-227.
4. [Conference] M. T. Akhtar, "Novel recursive least squares-based filtered-x adaptive algorithm developed for active control of impulsive noise sources," in Proc. IEEE International Conference Systems, Man, and Cybernetics (IEEE SMC 2020), October 11-14, 2020, Toronto, Canada, pp. 2359-2364.
5. [Conference] M. T. Akhtar, M. V. S. Lima, and P. S. R. Diniz, "On adaptation of cancelation path modeling filter in single-channel feedback-type adaptive active noise control systems," in Proc. IEEE MWSCAS 2020, Aug. 09-12, 2020, Springfield, MA, USA, pp. 852-885.
1. [Journal] M. T. Akhtar, "A time-varying normalized step-size based generalized fractional moment adaptive algorithm and its Applications to ANC of impulsive sources," Applied Acoustics, vol. 155, pp. 240-249, Dec. 2019. View Publication
2. [Journal] M. Tufail, S. Ahmed, M. Rehan, M. T. Akhtar, "A two adaptive filters-based method for reducing effects of acoustic feedback in single-channel feedforward ANC systems," Digital Signal Processing, vol. 90, pp. 18-27, Jul. 2019. View Publication
3. [Journal] M. T. Akhtar, F. Albu, and A. Nishihara, "Acoustic feedback cancellation in hearing aids using dual adaptive filtering and gain-controlled probe signal," Biomedical Signal Processing & Control, vol. 52, pp. 1-13, Jul. 2019. View Publication
4. [Conference] M. T. Akhtar, "Adaptive feedback active noise control (AFB-ANC) system equipped with online adaptation and convergence monitoring of the cancellation-path estimation (CPE) filter," in Proc. IEEE GlobalSIP 2019, Nov. 11-14, 2019, Ottawa, Ontario, Canada.
5. [Conference] M. T. Akhtar, "On reducing effect of acoustic feedback in hearing aids by employing lattice prediction and hybrid adaptive filtering," in Proc. 10th IEEE Annual Information Technology, Electronics, Mobile Communication Conference (IEEE IEMCON 2019), Oct. 17-19, 2019, Vancouver, Canada, pp. 0878-0884. (Certificate of Best Presenter)
6. [Conference] M. T. Akhtar, "A fully adaptive feedback ANC system employing online estimation of the cancellation path," in Proc. IEEE MWSCAS 2019, Aug. 04-07, 2019, Dallas, TX, USA, pp. 674-677.
1. [Journal] M. T. Akhtar, "An adaptive algorithm - based on modified tanh non-linearity and fractional processing - for impulsive active noise control systems," Journal of Low Frequency Noise, Vibration and Active Control, vol. 37, no. 3, pp. 495-508, Sept. 2018. View Publication
2. [Conference] M. T. Akhtar, and A. Nishihara, "Two-adaptive filter-based method using gain controlled probe noise for acoustic feedback neutralization in digital hearing aids," in Proc. 16th International Workshop on Acoustic Signal Enhancement (IWAENC 2018), Sept. 17-20, 2018, Tokyo, Japan, pp. 176-180.
3. [Conference] M. T. Akhtar, "A convex-combined step-size-based normalized modified filtered-x least mean square algorithm for impulsive active noise control systems," in Proc. EUSIPCO 2018, Sept. 03-07, 2018, Rome, Italy, pp. 2468-2472.
4. [Conference] M. T. Akhtar, "A normalized filtered-x generalized fractional lower order moment adaptive algorithm for impulsive ANC systems," in Proc. IEEE MWSCAS 2018, Aug. 05-08, 2018, Windsor, ON, Canada, pp. 821-824.
1. [Conference] A. K. Tahir, A. Fazal, M. Ali, and M. T. Akhtar, "On Implementation of Prediction Error Method-based Adaptive Feedback Cancellation (AFC) in Digital Hearing Aids," in Proc. 2017 International Symposium Recent Advances Electrical Engineering (RAEE'17), Oct. 24-26, 2017, Islamabad, Pakistan.
2. [Conference] M. T. Akhtar, and A. Nishihara, "Lattice adaptive filtering-based method for acoustic feedback cancellation in hearing aids with robustness against sudden changes in the feedback path," in Proc. The Eighth International Workshop Signal Design Applicationss Communications (IWSDA2017), Sept. 24-28, 2017, Sapporo, Japan, pp. 59-63.
[Journal - In Preparation] O. Demirel and M. T. Akhtar, "Color Dependence Analysis of Dual-Input Type Convolutional Neural Networks Employing Color Normalized and Nuclei Segmented Data for Histopathology Image Classification," IEEE Access, vol. 11, pp. xxx-xx, 2024 (in preparation).