S. M. Mahbubur Rahman, Ph.D.             

Professor

Department of EEE, BUET

Telephone:

+88-02-5516-7100 Ext 6136 (Off)             +88-02-5516-7100 Ext 7919 (Res)            +88-0182-393-3902 (Cell)

E-mail: mahbubur@eee.buet.ac.bd

             mahbuburbd@gmail.com

Biography:

S. M. Mahbubur Rahman received the B.Sc. and M.Sc. degrees in electrical and electronic engineering from the Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh, and the Ph.D. degree from the Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada.

He joined as a Lecturer in the Department of EEE, BUET in 1999 and served as an Assistant Professor from 2002 until 2011 and an Associate Professor from 2011 until 2014. Currently, he holds a position of Professor in the Department of EEE, BUET. His research interests are in the areas of statistical signal processing, computational statistics, digital image and video processing, and security systems.

Dr. Rahman has a strong record of research in his area that includes publications of a number of papers in the reputed journals such as IEEE Transactions on Image Processing, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Circuits and Systems-I, and the journals of Elsevier (Pattern Recognition, Signal Processing), IET, and Springer. He received several prestigious national and international positions and awards during his academic career. See Curriculum Vitae.

Publications:

Different Bibliometrics as on Homepage of Journals in 2016:

IEEE Transactions on Image Processing - IF (3.735), EF (0.05142), AIS (1.875)
IEEE Transactions on Intelligent Transportation Systems - IF (2.534), EF (0.01152), AIS (0.937)
IEEE Transactions on Circuits and Systems I - IF (2.393), EF (0.02758), AIS (1.283)
IEEE Transactions on Circuits and Systems for Video Technology - IF (2.254), EF (0.01327), AIS (1.030)
Pattern Recognition (Elsevier) - IF (3.707), SJR (2.052), SNIP (3.166)
Expert Systems with Applications (Elsevier) - IF (2.981), SJR (1.839), SNIP (2.561)
Signal Processing (Elsevier) - IF (2.143), SJR (1.119), SNIP (1.931)
Journal of Visual Communication & Image Representation (Elsevier) - IF (1.549), SJR (0.785), SNIP (1.588)
Circuits, Systems & Signal Processing (Springer) - IF (1.178), SJR (0.517), SNIP (0.917)
Int. Journal of Machine Learning and Cybernetics (Springer) - IF (1.110), SJR (1.446), SNIP (2.721)
EURASIP Journal of Image and Video Processing (Springer) - IF (1.060), SJR (0.472), SNIP (0.508)
Signal Image and Video Processing (Springer) - IF (0.872), SJR (0.402), SNIP (1.089)
IET Image Processing - IF (0.753), EF (0.00143), AIS (0.246)

Articles Published or Accepted in International Journals:

16.  Samiul Haque, S.  M. Mahbubur Rahman, and  Dimitrios Hatzinakos, ''Gaussian-Hermite moment-based depth estimation from single still image for stereo vision,'' Journal of Visual Communication and Image Representation, Elsevier Science Publishers, vol. 41C, pp. 281-295, Nov. 2016. Free access until Jan 07, 2017 (see https://authors.elsevier.com/a/1U3yp3k8X3QrCy).

15.     Niluthpol Chowdhury Mithun,  Tamanna  Howlader,   and  S.  M. Mahbubur Rahman, ''Video-based tracking of vehicles using multiple time-spatial images,'' Expert Systems with Applications, Elsevier Science Publishers, vol. 62, pp. 17-31, Nov. 2016.

14.  Saif Muhammad Imran, S. M. Mahbubur Rahman, and  Dimitrios Hatzinakos, ''Differential components of discriminative 2D Gaussian-Hermite moments for recognition of facial expressions,'' Pattern Recognition, Elsevier Science Publishers, vol. 56, pp. 100-115, Aug. 2016.

13.    S. M. Mahbubur Rahman, Tamanna  Howlader,   and  Dimitrios Hatzinakos, ''On the selection of 2D Krawtchouk moments for face recognition,'' Pattern Recognition, Elsevier Science Publishers, vol. 54, pp. 83-93, Jun. 2016.

12.     Syed Shahnewaz Ali,  Tamanna  Howlader,   and  S.  M. Mahbubur Rahman, ''Pooled shrinkage estimator for quadratic discriminant classifier: An analysis for small sample sizes in face recognition,'' International Journal of Machine Learning and Cybernetics, Springer, published online, May 2016. See DOI: 10.1007/s13042-016-0549-4.

11.    S.  M. Mahbubur Rahman, Shahana Parvin Lata, and Tamanna Howlader, and  ''Bayesian face recognition using 2D Gaussian-Hermite moments,'' EURASIP Journal of Image and Video Processing  Springer, vvol. 2015, no. 35, pp. 1-20, Dec. 2015.

10.     Fatema Tuz Jhohura,  Tamanna  Howlader,   and  S.  M. Mahbubur Rahman, ''Bayesian fusion of ensemble of multifocused noisy images,'' Circuits, Systems & Signal Processing, Springer, vol. 34, no. 7, pp. 2287-2308, Jul. 2015. (Winner of 2015 Sydney R. Parker Best Paper Award in Signal Processing)

9.      Md  Mushfiqul  Alam,  Tamanna  Howlader,   and  S.  M. Mahbubur Rahman, ''Entropy-based image registration method using the curvelet transform,'' Signal Image and Video Processing, Springer, vol. 8, no. 3, pp. 491-505, Mar. 2014.

8.     Sanjit Roy, Tamanna Howlader, and S. M. Mahbubur Rahman, ''Image fusion technique using multivariate statistical model for wavelet coefficients,'' i>Signal Image and Video Processing, Springer, vol. 7, no. 2, pp. 355-365, Mar. 2013.

7.   Niluthpol Chowdhury Mithun, Nafi Ur Rashid, and S. M. Mahbubur Rahman, ''Detection and classification of vehicles from video using multiple time-spatial images,'' IEEE Transactions on Intelligent Transportation Systems, vol. 13, no. 3, pp. 1215-1225, Sep. 2012.

6   S. M. Mahbubur Rahman, M. Omair Ahmad, and M. N. S. Swamy, ''Contrast-based fusion of noisy images using discrete wavelet transform,'' IET Image Processing, vol. 4, no. 5, pp. 374-384, May 2010.

5.       S. M. Mahbubur Rahman, M. Omair Ahmad, and M. N. S. Swamy, ''A new statistical detector for DWT-based additive image watermarking using the Gauss-Hermite expansion,'' IEEE Transactions on Image Processing, vol. 18, no. 8, pp. 1782-1796, Aug. 2009.

4.        S. M. Mahbubur Rahman, M. Omair Ahmad, and M. N. S. Swamy, ''Bayesian wavelet-based image denoising using the Gauss-Hermite expansion,'' IEEE Transactions on Image Processing, vol. 17, no. 10, pp. 1755-1771, Oct. 2008.

3.        S. M. Mahbubur Rahman, M. Omair Ahmad, and M. N. S. Swamy, ''Statistics of 2D DT-CWT coefficients for Gaussian distributed signal,'' IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 55, no. 7, pp. 2013-2025, Aug. 2008.

2.        S. M. Mahbubur Rahman, M. Omair Ahmad, and M. N. S. Swamy, ''Video denoising based on inter-frame statistical modeling of the wavelet coefficients,'' IEEE Transactions on Circuits and Systems for Video Technology, vol. 17, no. 2, pp. 187-198, Feb. 2007.

1.        S. M. Mahbubur Rahman and Md. Kamrul Hasan, ''Wavelet-domain iterative center weighted median filter for image denoising,'' Signal Processing, Elsevier Science Publishers, vol. 83, no. 5, pp. 1001-1012, May 2003.

Articles Published or Accepted in Chapters of E-Books or Proceedings of International Conferences:

24. Sudipto Paul, Nurani Saoda, S. M. Mahbubur Rahman, Dimitrios Hatzinakos, "Mutual information-based selection of audiovisual features to predict instantaneous emotional state," accepted to be presented in 19th International Conference on Computer and Information Technology, Dhaka, Bangladesh, Dec. 2016.

23. Rafiul Amin, A. Farhan Shams, S. M. Mahbubur Rahman, Dimitrios Hatzinakos, "Evaluation of discrimination power of facial parts from 3D point cloud data," accepted to be presented in 9th International Conference on Electrical and Computer Engineering, Dhaka, Bangladesh, Dec. 2016.

22. Amit Kumar Kundu, Md. Didarul Islam, S. M. Mahbubur Rahman, "Roboticon: A realistic platform to imitate facial expressions," accepted to be presented in 9th International Conference on Electrical and Computer Engineering, Dhaka, Bangladesh, Dec. 2016.

21. Tashrif Billah, S. M. Mahbubur Rahman, "Tracking-based detection of driving distraction from vehicular interior video," in Proceedings of 13th IEEE International Conference on Advanced Video and Signal-based Surveillance, vol. W, pp. 23-28, Colorado Springs, CO, USA, Aug. 2016.

20. B. M. S. Bahar Talukder, Brinta Chowdhury, Tamanna Howlader, S. M. Mahbubur Rahman, ''Intelligent recognition of spontaneous expression using motion magnification of spatio-temporal data,'' in Lecture Notes in Computer Science (LNCS) : 11th  Pacific Asia Workshop on Intelligence and Security Informatics,, vol. 9650, pp. 114-128, Auckland, New Zealand, Apr. 2016.

19. Md. Azim Ullah, S. M. Mahbubur Rahman,span> ''Low-complexity non-rigid image registration using feature-based diffeomorphic log-Demons,'' presented in 1st IAPR International Conference on Computer Vision and Image Processing, Roorkee, India, Feb. 2016 (to appear in LNCS, Springer). See paper number 70 available at http://www.iitr.ac.in/cvip2016/ .

18. Abdullah Al Masum, Mahady Hasan Rafy, S. M. Mahbubur Rahman, ''Video-based affinity group detection using trajectories of multiple subjects,'' in Proceedings 8th International Conference on Electrical and Computer Engineering, pp. 120-123, Dhaka, Bangladesh, Dec. 2014.

17.   Bashirul Azam Biswas, Shams Shad Islam Khan, S. M. Mahbubur Rahman, ''Discriminative masking for non-cooperative IrisCode recognition,'' in Proceedings 8th International Conference on Electrical and Computer Engineering, pp. 124-127, Dhaka, Bangladesh, Dec. 2014.

16.  Syed Shahnewaz Ali, Tamanna Howlader, S. M. Mahbubur Rahman, ''Quadratic discriminant classifier for moment-based face recognition,'' in Proceedings of ISI Regional Statistical Conference, pp. 1-12,Kuala Lumpur, Malaysia, Nov. 2014. (Winner of Best Paper Award - First Prize)

15.   d Abdul Aowal, Adeeb Shahriar Zaman, S. M. Mahbubur Rahman, Dimitrios Hatzinakos, ''Static hand gesture recognition using discriminative 2D Zernike moments,'' in Proceedings of 35th IEEE TENCON, pp. 1-5, Bangkok, Thailand, Oct. 2014.

14.      S. M. Mahbubur Rahman, M. Masud Reza, Q. M. Zubair Hasani, ''Low-complexity iris recognition method using 2D Gauss-Hermite moments,'' in Proceedings of 8th IEEE International Symposium on Image and Signal Processing and Analysis, pp. 135-139, Trieste, Italy, Sept. 2013.

13.       Tamanna  Howlader,  Fatema  Tuz  Jhohura, S.  M.  Mahbubur Rahman, ''A  novel  statistical  image fusion rule for noisy source images,'' in Proceedings of 59th ISI World Statistics Congress, pp. 3630-3635, Hong Kong, Aug. 2013. 

12.    Riazul Islam, Abdullah Al Mamun, Mohammed Imamul Hassan Bhuiyan, S M Mahbubur Rahman, ''Segmentation and 3D visualization of volumetric images for detection of tumor in cancerous brain,'' in Proceedings of 7th International Conference on Electrical and Computer Engineering, Dhaka, Bangladesh, pp. 863-866, Dec. 2012.

11.     Nafi Ur Rashid, Niluthpol Chowdhury Mithun, Bhadhan Roy Joy,  and S. M. Mahbubur Rahman, ''Detection and classification of vehicles from a video using time-spatial image,'' in Proceedings of 6th International Conference on Electrical and Computer Engineering, Dhaka, Bangladesh, pp. 502-505, Dec. 2010.

10.       S. M. Mahbubur Rahman, M. Omair Ahmad, and M. N. S. Swamy, ''A new bivariate MAP estimator for DT-CWT-based video denoising,'' in Proceedings of 42nd IEEE International Symposium on Circuits and Systems, Taipei, Taiwan, Republic of China, pp. 517-520, May 2009.

9.       S. M. Mahbubur Rahman, M. Omair Ahmad, and M. N. S. Swamy, ''A new contrast-based fusion scheme for noisy images using wavelet transform,'' in Proceedings of 1st International Symposium on Digital Life Technologies, Tainan, Taiwan, Republic of China, pp. 108-111, May 2009.

8.       S. M. Mahbubur Rahman, M. Omair Ahmad, and M. N. S. Swamy, ''Improved image restoration using wavelet-based denoising and Fourier-based deconvolution,'' in Proceedings of 51st IEEE International Mid-West Symposium on Circuits and Systems, Knoxville, TN, USA, pp. 249-252, Aug. 2008.

7.       S. M. Mahbubur Rahman, M. Omair Ahmad, and M. N. S. Swamy, ''Statistical detector for wavelet-based image watermarking using modified GH PDF,'' in Proceedings of 41st IEEE International Symposium on Circuits and Systems, Seattle, WA, USA, pp. 712-715, May 2008.

6.       S. M. Mahbubur Rahman, M. Omair Ahmad, and M. N. S. Swamy, ''Locally adaptive wavelet-based image denoising using the Gram-Charlier prior function,'' in Proceedings of 14th IEEE International Conference on Image Processing, San Antonio, TX, USA, vol. 3, pp. 549-552, Sep. 2007.

5.     S. M. Mahbubur Rahman, M. Omair Ahmad, and M. N. S. Swamy, ''Bayesian wavelet-based despeckling of ultrasound medical images using the Gauss-Hermite expansion,'' in Proceedings of 8th Joint Statistical Meetings, Salt Lake City, UT, USA, pp. 1718-1725, Jul. 2007.

4.       S. M. Mahbubur Rahman, M. Omair Ahmad, and M. N. S. Swamy, ''Wavelet-based video denoising using Gauss-Hermite density function,'' in Proceedings of 49th IEEE International Mid-West Symposium on Circuits and Systems, San Juan, PR, USA, vol. 1, pp. 592-595, Aug. 2006.

3.       S. M. Mahbubur Rahman, M. Omair Ahmad, and M. N. S. Swamy, ''Wavelet-domain image denoising algorithm using series expansion of coefficient p.d.f. in terms of Hermite polynomials,'' in Proceedings of 3rd International IEEE North-East Workshop on Circuits and Systems, Quebec City, QC, Canada, pp. 271-275, Jun. 2005.

2.     S. M. Mahbubur Rahman and Md. Kamrul Hasan, ''Improved wavelet-based image denoising algorithm using iterative center weighted median filter,'' in Proceedings of 3rd International Symposium on Communication System, Network and Digital Signal Processing, Staffordshire, UK, pp. 304-307, Jul. 2002 (Winner of Student Paper Award).

1.    M. R. Huq, M. I. H. Bhuiyan, M. M. Rahman, S. M. M. Rahman, and M. K. Hasan, ''An improved memoryless vector quantizer using LBG algorithm and neural networks for image compression,'' in Proceedings of 3rd International Symposium on Communication System, Network and Digital Signal Processing, Staffordshire, UK, pp. 264-267, Jul. 2002.

 Teaching:

UnderGraduate PostGraduate
EEE 101: Electrical Circuits - I

EEE 301: Continuous Signals and Linear Systems

EEE 311: Digital Signal Processing

EEE 6002: Selected Topics in Electrical and Electronic Engineering

EEE 6209: Digital Image Processing

Students (Research):

UnderGraduate PostGraduate
1. Nafi Ur Rashid (M.Sc. Student in University of California, San Diego, USA)

2. Bhadhan Roy Joy (M.Sc. Student in University of Alabama at Birmingham, USA)

3. Riazul Islam (M.Sc. Student in Grand Valley State University, Michigan, USA)

1. Md. Mushfiqul Alam (Completed Doctoral Degree from Oklahoma State University, USA)

2. Niluthpol Chowdhury Mithun (Doctoral Student in University of California, Riverside, USA)

3. Saif Muhammad Imran (Doctoral Student in Michigan State University, USA)

4. Samiul Haque (Doctoral Student in North Carolina State University, USA)

Research Interests:

My research experiences and interests cover the challenging issues of modeling, processing, and computational  techniques of visual/multimedia signals such as image and video in the area of biometric security system, intelligent transportation system, cognitive science, stereo vision, biomedical visualization, human computer interaction, geosciences (e.g., SAR), genetics (e.g., cDNA microarray), astronomy,  surveillance and communication systems. I am particularly interested in the following:

  •  Development of mathematically tractable and computationally efficient deterministic or stochastic models for the visual signals that describe essential features of a signal (e.g., motion in a video or discriminative features in facial expressions) by considering the higher-order structural variability or statistics of the data samples.

  • Application of these models in various real-world processing and computational techniques such as pattern recognition for machine intelligence, depth estimation for stereo vision, reduction of noise and speckle, restoration, registration, fusion, detection of edge and texture, enhancement, copyright protection, encryption, compression, classification, stabilization, and segmentation.

  • Deterministic or stochastic analysis of these signals in the space-time and various transform domains such as the DFT, DCT, wavelet, curvelet, orthogonal polynomial transformations in their multidimensional representations (e.g., 2D and 3D).

Resources:

Database and selected codes developed in my research groups are  publicly available for non-profit usage. Interested researchers are encouraged to use these resources for developing and testing their own algorithms.

  • The EEE-BUET Vehicular Traffic (EBVT) Video Database is developed for designing video-based intelligent transportation system. This database can be used to develop efficient algorithms for detection, classification, and tracking of vehicles or even traffic signals on roads. The details of this database are available in the link EBVT Video Database.

  • The EEE-BUET Distracted Driving (EBDD) Video Database is developed for designing video-based intelligent transportation system. This database can be used to develop efficient algorithms for determining cautiousness or distraction of the drivers during driving on roads. The details of this database are available in the link EBDD Video Database.

  • The MATLAB codes for implementation of low-complexity wavelet-based noise reduction algorithm for video signal are available in the link Video Denoise.    


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