Md. Kamrul Hasan

Professor
Department of Electrical & Electronic Engineering

Room 225
ECE Building
Bangladesh University of Engineering & Technology (BUET)
Dhaka - 1205
Bangladesh

+880-2-8611594
+880-1552365843
khasan@eee.buet.ac.bd
Google Scholar

 


Lab Website


Academic Qualifications
  • Ph.D., Chiba University, Japan
  • M.Engg., Chiba University, Japan
  • M.Sc. (Electrical and Electronic Engineering), BUET
  • B.Sc. (Electrical and Electronic Engineering), BUET

 

Research Interests

Elastography, Medical Imaging, Wearable Technologies, Quantitative Ultrasound, Machine Learning, Digital Signal Processing, Speech and Image Processing, and Adaptive Filtering

 

Teaching Interests
  • Digital Signal Processing
  • Signals and Linear System Analysis
  • Telecommunication Engineering
  • Advanced Digital Signal Processing
  • Electrical Circuit Analysis

 

Publications
  • To view the full LIST of PUBLICATIONS click Here

 

Curriculam Vitae

 

Patents
  • S.Y. LEE and M. K. Hasan, Apparatus for removing ring artifact in an X-ray CT (Computed Tomography) and a removing method thereof capable of revising the pixel value of a defective cell, Korean Patent ID: 1020110125696, 22 Nov. 2011.

 

Book Chapters
  • M. K. Hasan and S. R. Ara, Detection and Classification of Breast Lesions Using Ultrasound-based Imaging Modalities, Book tittle: Encyclopedia of Biomedical Engineering, Elsevier publisher, 2018.

 

 

Research Areas

 

Machine Learning

Journal Publications

  1. S. R. Ara, S. K. Bashar, F. Alam, and M. K. Hasan, "EMD-DWT based transform domain feature reduction approach for quantitative multi-class classification of breast lesions", Ultrasonics, vol. 80, pp. 22-33, 2017.
  2. S. R. Ara, F. Alam, M. H. Rahman, S. Akther, R. Awaal, and M. K. Hasan, "Bi-modal multi-parameter based approach for benign-malignant classification of breast tumors", Ultrasound in Medicine and Biology, vol.41, no.7, pp.2022-2038, 2015.
  3. U. Kamal, A. M. Rafi, M. R. Hoque, S. Das, A. Abrar, and M. K. Hasan, "Application of DenseNet in camera model identification and post-processing detection", Submitted to IEEE Trans. Inf. Forensics Security, June 2018.
  4. U. Kamal, T. I. Tonmoy, S. Das, and M. K. Hasan, "Automatic traffic sign detection and recognition using SegU-Net and a modified Tversky loss function with L1-constraint", Submitted to IEEE Trans. Intell. Transp. Syst., July 2018.

 

Elastography

 

Journal Publications

  1. M. S.-E Rabbi and M. K. Hasan, "Speckle tracking and speckle content based composite strain imaging for solid and fluid filled lesions", Ultrasonics, vol. 54, pp. 124-139, 2017.
  2. G. Kibria and M. K. Hasan, "A class of kernel based real-time elastography algorithms", Ultrasonics, vol.61, pp.88-102, 2015.
  3. A. Nahiyan and M. K. Hasan, "Hybrid algorithm for elastography to visualize both solid and fluid filled lesions", Ultrasound in Medicine and Biology, vol. 41, no.4, pp.1058-1078, 2015.
  4. A. Hussain, F. Alam, S. A. Rupa, R. Awaal, S. Y. Lee, and M. K. Hasan, "Lesion edge preserved direct average strain estimation for ultrasound elasticity imaging", Ultrasonics, vol. 54, no. 1, pp. 137-146, 2014.
  5. S. R. Ara, F. Mohsin, F. Alam, S. A. Rupa, R. Awaal, S. Y. Lee, and M. K. Hasan, "Phase-based direct average strain estimation for elastography", IEEE Trans. Ultrason. Ferroelectr. Freq. Control, vol. 60, no. 11, pp.2266-2283, 2013.
  6. M. K. Hasan, E. M. A. Anas, S. K. Alam, and S. Y. Lee, "Direct mean strain estimation for elastography using nearest-neighbor weighted least-squares approach in the frequency domain", Ultrasound in Medicine and Biology, vol. 38, no. 10, pp.1759-1777, 2012.
  7. A. Hussain, E. M. A. Anas, S. K. Alam, S. Y. Lee, and M. K. Hasan, "Direct and gradient based average strain estimation by using weighted nearest neighbor cross-correlation peaks", IEEE Trans. Ultrason. Ferroelectr. Freq. Control, vol. 59, no. 8, pp.1713-1728, 2012.
  8. A. Hussain, E. M. A. Anas, S. K. Alam, S. Y. Lee, and M. K. Hasan, "Robust Strain-Estimation Algorithm Using Combined Radiofrequency and Envelope Cross-Correlation with Diffusion Filtering", Ultrasonic Imaging, vol. 34, pp.93-109, 2012.

 

Quantitative Ultrasound and Imaging

 

Journal Publications

  1. J. Dey and M. K. Hasan, "Ultrasonic tissue reflectivity function estimation using correlation constrained multichannel FLMS algorithm with missing RF data", Biomed. Phys. Eng. Express, vol.4, no.4, 2018.
  2. N. I. Nizam, S. K. Alam, and M. K. Hasan, "EEMD domain AR spectral method for mean scatterer spacing estimation of breast tumors from ultrasound backscattered RF data", IEEE Trans. Ultrason. Ferroelectr. Freq. Control, pp.1487-1500, vol. 64, no. 10, 2017.
  3. M. K. Hasan, M. S. E. Rabbi, and S. Y. Lee, "Blind deconvolution of ultrasound images using l1-norm-constrained block-based damped variable step-size multichannel LMS algorithm", IEEE Trans. Ultrason. Ferroelectr. Freq. Control, in press, 2016.
  4. M. K. Hasan, M. A. Hussain, S. R. Ara, S. Y. Lee, and S. K. Alam, "Using nearest neighbors for accurate estimation of ultrasonic attenuation in the spectral domain", IEEE Trans. Ultrason. Ferroelectr. Freq. Control, vol. 60, no. 6, pp.1098-1114, 2013.

 

MRI

 

Journal Publications

  1. K. Bashar and M. K. Hasan, "Empirical mode decomposition based GRAPPA reconstruction algorithm for parallel MRI", Biomed. Phys. Eng. Express, 1, 045006, 2015.
  2. K. Bashar and M. K. Hasan, "HASAN: Highly accurate sensitivity for auto-contrast-corrected pMRI reconstruction", Submitted to Magnetic Resonance Imaging, Elsevier, 2018.

 

CT

 

Journal Publications

  1. A. Haque, M. O. Ahmad, M. N. S. Swamy, M. K. Hasan, and S. Y. Lee, "Adaptive projection selection for computed tomography", IEEE Trans. Image Processing, vol. 22, no. 12, pp.5085-5095, 2013.
  2. S. Rashid, S. Y. Lee, and M. K. Hasan, "An improved method for the removal of ring artifacts in high resolution CT imaging", EURASIP Journal on Advances in Signal Processing, Elsevier, vol. 2012:93, 2012.
  3. E. M. A. Anas, S. Y. Lee and M. K. Hasan, "High quality 3-D correction of ring and radiant artifacts in flat panel detector based cone beam volume CT imaging", Physics in Medicine and Biology, IOP, vol.56, no.19, pp.6495-6519, 2011.
  4. E. M. A. Anas, S. Y. Lee and M. K. Hasan, "Comparison of ring artifact removal methods using flat panel detector based CT images", Biomedical Engineering Online, 10:72, doi:10.1186/1475-925X-10-72, 2011.
  5. N. M. Ashrafuzzaman, S. Y. Lee and M. K. Hasan, "A self-adaptive approach for the detection and correction of stripes in the sinogram: Suppression of ring artifacts in CT imaging", EURASIP Journal on Advances in Signal Processing, Elsevier,doi:10.1155/2011/183547, Volume 2011, Jan. 2011.
  6. M. K. Hasan, F. Sadi, and S. Y. Lee, "Removal of ring artifacts in micro-CT imaging using iterative morphological filter", DOI 10.1007/s11760-010-0170-z, Signal, Image and Video Processing (SIViP), Springer (UK), Published online, June, 2010.
  7. F. Sadi, S. Y. Lee, and M. K. Hasan, "Removal of ring artifacts in computed tomographic imaging using iterative center weighted median filter", vol. 40, no. 1, pp.109-118, Computers in biology and medicine, Elsevier, Jan. 2010.
  8. E. M. A. Anas, S. Y. Lee and M. K. Hasan, "Removal of ring artifacts in CT imaging through detection and correction of stripes in the sinogram", Physics in Medicine and Biology, IOP, vol. 55, pp.6911-6930, 2010.

 

ECG

 

Journal Publications

  1. M. S. Islam, M. S.-E Rabbi, A. M. A. Dobaie, and M. K. Hasan, "PREHEAT: Precision heart rate monitoring from intense motion artifact corrupted PPG signals using constrained RLS and Wavelets", Biomedical Signal Processing and Control, Elsevier, vol. 38, pp. 212-223, 2017.
  2. E. Khan, F. A. Hossain, S. Z. Uddin, S. K. Alam, and M. K. Hasan, "A robust heart rate monitoring scheme using photoplethysmographic signals corrupted by intense motion artifacts ", IEEE Trans. Biomed. Eng., vol. 63, no. 3, pp.550-562, 2016.
  3. A. Arafat, A. W. Chowdhury, and M. K. Hasan, "A simple time domain algorithm for the detection of ventricular fibrillation in electrocardiogram", Signal, Image and Video Processing (SIViP), Springer (UK), vol.5, pp.1-10, 2011.
  4. E. M. A. Anas and M. K. Hasan, "Exploiting correlation of ECG with certain EMD functions for ventricular fibrillation detection", Computers in biology and medicine, Elsevier, vol. 41, pp.110-114, 2011.
  5. E. M. A. Anas and M. K. Hasan, "Sequential algorithm for ventricular tachycardia and fibrillation identification based on mean signal strength and low-order EMD functions", Biomedical Engineering online (UK), DOI: 10.1186/1475-925X-9-43, 9:43, 2010.
  6. A. Arafat, J. Sieed, and M. K. Hasan, "Detection of ventricular fibrillation using empirical mode decomposition and Bayes decision theory", vol. 39, no. 11, pp.1051-1057, Computers in biology and medicine, Elsevier, Nov. 2009.
  7. A. Haque, M. K. Hasan and H. Tazawa, "Investigation of the nonlinearity in the heart rate dynamics", Medical Engineering & Physics, Elsevier Science B.V., vol.27, no.2, pp.27-31, 2001.

 

Speech, Image and Digital Signal Processing

 

Journal Publications

  1. M. K. Molla, K. Hirose, and M. K. Hasan, "Voiced/non-voiced speech classification using adaptive thresholding with bivariate EMD", Pattern Analysis and Application (PAA), Springer (UK), DOI 10.1007/s10044-015-0449-3, January, 2015.
  2. E. Deger, M. K. I. Molla, K. Hirose, N. Minematsu, and M. K. Hasan, "Subband DCT and EMD based hybrid soft thresholding for speech enhancement", Advances in Acoustics and Vibration, Hindawai, vol. 2014, http://dx.doi.org/10.1155/2014/765454, 2014.
  3. A. Haque, T. Islam and M. K. Hasan, "Robust speech dereverberation based on blind adaptive estimation of acoustic channels", IEEE Trans. Audio, Speech, Language Process., vol.19, no.4, pp.775-787, May 2011.
  4. K. Roy, K. I. Molla, K. Hirose and M. K. Hasan, "Harmonic modification and data adaptive filtering based approach to robust pitch estimation", International Journal of Speech Technology (IJST), Springer, vol. 14, pp.339-349, 2011.
  5. Ryyan Khan and M. K. Hasan, "A novel model for show-through in scans of duplex printed documents", in press (published online DOI 10.1007/s11760-010-0192-6), Signal, Image and Video Processing (SIViP), Springer (UK), Mar. 2010.
  6. M. K. Hasan, M. A. Haque, and T. Islam, "Channel shortening using spectrally constrained least-squares minimization technique", Journal IET Signal Processing (formerly IEE Proceedings, UK), vol.4, no.6, pp.698-707,  Dec. 2010.
  7. Hasan and M. K. Hasan, "MMSE estimator for speech enhancement considering the constructive and destructive interference of noise", Journal IET Signal Processing (formerly IEE Proceedings, UK), vol. 4, no. 1, pp.1-11, Jan. 2010.
  8. Ryyan Khan, Hafiz Imtiaz, and M. K. Hasan, "Show-through correction in scanned images using joint histogram", Signal, Image and Video Processing (SIViP), Springer (UK), vol.4, pp.337-351, 2010.
  9. M. K. Hasan, M. S. Apu, and M. K. I. Molla, "A robust method for parameter estimation of AR systems using empirical mode decomposition", Signal, Image and Video Processing (SIViP), Springer (UK), vol. 4, pp.451-461, 2010.
  10. Islam and M. K. Hasan, "Improved eigenfilter design method for channel shortening equalizers for DMT systems", IEEE Signal Processing Letters, vol. 16, no. 5, pp.386-389, May 2009.
  11. Hasan and M. K. Hasan, "Suppression of residual noise from speech signals using empirical mode decomposition", IEEE Signal Processing Letters, vol. 16, no. 1, pp.2-5, Jan. 2009.
  12. A. Haque and M. K. Hasan, "Robust multichannel LMS-type algorithms with fast decaying transient for blind identification of acoustic channels", Journal IET Signal Processing (formerly IEE Proceedings, UK), vol. 2, no. 4, pp.431-441, Dec. 2008.
  13. A. Haque and M. K. Hasan, "Noise robust multichannel frequency-domain LMS-type algorithms for blind channel identification", IEEE Signal Processing Letters, pp.305-308, vol.15, 2008.
  14. A. Haque and M. K. Hasan, "Variable step-size multichannel frequency-domain LMS algorithm for blind identification of finite impulse response systems", Journal IET Signal Processing (formerly IEE Proceedings, UK), vol. 1, no. 4, pp.182-189, 2007.
  15. A. Haque, M. S. A. Bashar, P. A. Naylor, K. Hirose and M. K. Hasan, "Energy constrained frequency-domain normalized LMS algorithm for blind channel identification", Signal, Image and Video Processing (SIViP), Springer (UK), pp.203-213, 2007.
  16. D. Gaubitch, M. K. Hasan, and P. A. Naylor, "Generalized optimal step-size for blind multichannel LMS system identification", IEEE Signal Processing Letters, vol. 13, no. 10, October 2006.
  17. M. K. Hasan, S. Hussain, M. T. H. Setu, and M. N. I. Nazrul, "Signal reshaping using dominant harmonic for pitch estimation of noisy speech", Signal Processing, Elsevier Science B.V., vol. 86, no. 5, pp.1010-1018, 2006.
  18. M. K. Hasan, N. M. Hossain, and P. A. Naylor, "A novel autocorrelation model-based identification method for ARMA systems in noise", IEE Proc.-Vis. Image Signal Process., vol. 152, no. 5, pp.520-526, October 2005.
  19. M. K. Hasan, S. Salahuddin, and M. R. Khan, "A modified a priori SNR for speech enhancement using spectral subtraction rules", IEEE Signal Processing Letters, vol. 11, no. 4, pp.450-453, 2004.
  20. M. K. Hasan, S. Salahuddin, and M. R. Khan, "Reducing signal-bias  from MAD estimated noise level for DCT speech enhancement", Signal Processing, Elsevier Science B.V., vol. 84, no. 1, pp.151-162, 2004.
  21. M. K. Hasan, A. K. M. Z. R. Chowdhury, and M. R. Khan, "Identification of autoregressive signals in colored noise using damped sinusoidal model", IEEE Trans. Circuits and Systems-I: Fundamental Theory and Applications, vol. 50, no. 7, pp.966-969, July 2003.
  22. M. K. Hasan, S. A. Fattah and M. R. Khan, "Identification of noisy AR systems using damped sinusoidal model of autocorrelation function", IEEE Signal Processing Letters, vol. 10, no. 6, pp.157-160, June 2003.
  23. M. M. Rahman and M. K. Hasan, "Wavelet-domain iterative center weighted median filter for image denoising", Signal Processing, Elsevier Science B.V., vol. 83, pp.1001-1012, April 2003.
  24. M. K. Hasan, M. J. Hossain, and M. A. Haque, "Parameter estimation of multichannel autoregressive processes in noise", Signal Processing, Elsevier Science B.V., vol. 83, no. 3, pp.603-610, Feb. 2003.
  25. M. K. Hasan and M. R. Khan, "Identification of autoregressive systems at a very low SNR using cosine model based estimation of autocorrelation function", Journal of Signal Processing, vol.7, no. 1, 15-21 January 2003.
  26. S. A. Zilany, M. K. Hasan and M. R. Khan, "Signal-bias compensated noise level for wavelet speech enhancement", Journal of Signal Processing, vol.7, no. 1, pp.41-50, January 2003.
  27. Salahuddin, S. Z. Al Islam, M. K. Hasan, and M. R. Khan, "Soft thresholding for DCT speech enhancement", IEE Electron. Lett., vol.38, no. 24, pp.1605-1607, Nov. 2002.
  28. M. K. Hasan, M. S. A. Zilany, and M. R. Khan, "DCT speech enhancement with hard and soft thresholding criteria", IEE Electron. Lett., vol.38, no. 13, pp.669-670, June 2002.
  29. I. H. Bhuiyan, M. K. Hasan, N. C. Hammadi and T. Yahagi, "Image compression with neural networks using dynamical construction algorithm", Journal of Signal Processing, vol.5, no.6, pp.445-454, November 2001.
  30. M. K. Hasan and K. I. U. Ahmed, "Further results on autoregressive spectral estimation from noisy observations", Trans. IEICE Fundamentals vol.E84-A, no.2, pp.577-588, Feb. 2001.
  31. M. K. Hasan and T. Yahagi, "On the improvement of accuracy of input and parameter estimation of nonminimum phase MA systems", Journal of Signal Processing, vol.1, no.3, pp.195-204, May 1997.
  32. M. K. Hasan, M. M. Mollah and T. Yahagi, "Maximum likelihood estimation of autoregressive systems degraded by colored noise", Journal of Signal Processing, vol.1, no.2, pp.125-133, March 1997.
  33. M. K. Hasan, M. M. Mollah and T. Yahagi, "Identification of two-dimensional autoregressive systems from observations containing noise", Journal of Signal Processing, vol.1, no.1, pp.53-62, January 1997.
  34. M. K. Hasan and T. Yahagi, "A new time-domain design method of IIR approximate inverse systems using all-pass filters", Trans. IEICE Fundamentals, vol.E79-A, no.11, pp.1870-1878, Nov. 1996.
  35. M. K. Hasan and T. Yahagi, "An iterative method for the identification of multichannel autoregressive processes with additive observation noise", Trans. IEICE Fundamentals, vol. E79-A, no.5, pp.674-680, May 1996.
  36. M. K. Hasan, S. Shimizu and T. Yahagi, "Design of approximate inverse systems using all-pass networks, Trans. IEICE Fundamentals", vol.E79-A, no.2, pp.248-251, Feb. 1996.
  37. M. K. Hasan and T. Yahagi, "New results on the ARMA modeling of AR signal plus white noise process", Trans. ISCIE, vol.8, no.11, pp.667-669,  Nov. 1995.
  38. M. K. Hasan, S. Shimizu and T. Yahagi, "Optimal design of approximate inverse systems in the frequency domain", Trans. ISCIE, vol.8, no.11, pp.670-672, Nov. 1995.
  39. Yahagi and M. K. Hasan, "Estimation of noise variance from noisy measurements of AR and ARMA systems: application to blind identification of linear time-invariant systems", Trans. IEICE Fundamentals, vol.E77-A, no.5, pp.847-855, May 1994.
  40. M. K. Hasan, T. Yahagi and M. A. A. Henriques, "An approach to ARMA model identification from noise corrupted output measurements", Trans. IEICE Fundamentals, vol.E77-A, no.4, pp.726-730, April 1994.
  41. A. A. Henriques, M. K. Hasan and T. Yahagi, "An extension to the overfitting lattice filter for ARMA parameter estimation with additive noise", Trans. IEICE Fundamentals, vol.E77-A, no.3, pp.482-485, March 1993.