Noor Atinah Ahmad

NAA 

Assoc. Prof. Dr. Noor Atinah Ahmad
PhD Mathematics, University of Southampton, United Kingdom
BSc Mathematics, University of Bristol, United Kingdom.

Email:
nooratinah@usm.my | Room No.: 027 | Phone: 04-6534767

ORCID: https://orcid.org/0000-0002-4249-7305

 


 

Profile

Overview: Noor Atinah Ahmad received a Bachelor degree in Mathematics from the University of Bristol in 1993 and a Doctoral degree from the University of Southampton in 1997. She joined the School of Mathematical Sciences, USM in 1997 and became an associate professor in 2014. Her current research interests is in adaptive algorithms and matrix methods in signal processing.

 

Selected publications:

  1. Bulletin of the Malaysian Mathematical Sciences Society, 40(2), 783-794. 10.1007/s40840-015-0269-z .
  2. Ahmad. (2016) “Kernel Based Learning for Nonlinear System Identification, Malaysian Journal of Mathematical Sciences, 10(S). 11 pages.
  3. Javed and N. A. Ahmad. (2014) “Stochastic Total Least Squares Solution of Adaptive Filtering Problem”. The Scientific World Journal, vol. 2014, Article ID 625280, 6 pages. http://dx.doi.org/10.1155/2014/625280.
  4. H. Al-Jizani, N. A. Ahmad, F. S. Fadhel (2017) Variational Iteration Method for Solving Riccati Matrix Differential Equations, Indonesia Journal of Electrical Engineering and Computer Science, 5(3), 673-683.
  5. Ahmad N. A. (2007), Accelerated Euclidean Direction Search Algorithm and Related Relaxation Scheme for Solving Adaptive Filtering Problem. IEEE International Conference on Information, Control & Signal Processing (ICICS 2007), Nanyang Technological University, Singapore
  6. Ahmad N.A. (2008), A Globally Convergent Stochastic Pairwise Conjugate-Gradient Based Algorithm for Adaptive Filtering. IEEE Signal Procesing Letter, vol 15, pp 914 – 917.

Research Interest:

  1. Adaptive algorithms and matrix methods in signal processing.
  2. Subspace methods and subspace tracking.
  3. Mathematical Modelling

atinah

 

 

Teaching and Supervision

Graduate Teaching

Computational Linear Algebra

Undergraduate Teaching

            Linear Algebra

            Mathematical Software Laboratory (MATLAB & Mathematica)

            Algebra for Science Students

            Introduction to Modelling

            Differential Equation

            Finite Element Method

Supervision

Level Name Title
Doctorate
  1. Shazia Javed
  1. Cheah Kah Wai
  1. Khalid Hamood Mohamedali
  2. Muhammad Aminu
  3. Loy Kak Choon (co supervisor)

Adaptive Filtering, Numerical Algorithms for Signal Processing

Adaptive Filtering, Numerical Algorithms for Signal Processing

Differential Equation

Kernel Partial Least Squares

Mathematical Modelling

Masters
  1. Friday Okwonu Zinzendoff
  2. Chew Tong Fatt
  1. Fazilah Ahmad
  1. Lye Weng Kit
  1. Ho Yen Yen
  1. Maisarah Mahmud
  1. Siti Aisyah Md Ali @ Omar
  2. Nurul Atika Azis
  1. Amirah Damanhuri
  1. Yong Shok Yee
  1. Nur Amira Shaharuddin
  1. Nur Munirah Zainal Abidin
  1. Muhammad Sharulnizam Bazaruddin

Adaptive Filtering, Numerical Algorithms for Signal Processing

Numerical Integration and Data Reduction

Numerical bifurcation using MATCONT

Conjugate gradient based algorithms for adaptive least squares problem. MSc. (dissertation).

Euclidean direction search algorithm for adaptive least squares problem. MSc. (dissertation)

Preconditioner Matrix For Block Implemented LMS Algorithm. MSc. (dissertation)

Infinite Impulse Response (IIR) Adaptive Filter. MSc. (dissertation).

QR Decomposition for Recursive Least Squares Problem. MSc. (dissertation).

Nonlinear Adaptive Filtering Problem. MSc. (dissertation).

Inverse QR Decomposition for Recursive Least Squares Problem MSc. (dissertation).

Performance Comparison of Adaptive Decision Feedback Equalizer. MSc. (dissertation).

A Solution Method for Recursive Total Least Squares Problem Based on Inexact Inverse Iteration and Gauss-Seidel Method. MSc. (Dissertation).

Total Least Mean Squares Algorithm with Constrained Gradient Principle. M.Sc. (Dissertation).

Lanczos Procedure for Kernel Principal Component Analysis. M.Sc. (Dissertation).

 

Research

  1. Research Grants
    1. An Investigation into Adaptive Digital Signal Processing for Wireless Communication: Modelling and Analysis of Algorithms, IRPA RM7 (Project no. 04-02-05-0008), Co-researcher, October 2000 – September 2004
    2. Characterization of Adaptive Least Squares Algorithm using Antieigenvalues, FRGS Grant, Main researcher, January 2007 – July 2010.
    3. ‘Penyelesaian Masalah Model Medan Fasa Melalui Kaedah Masalah Nilai Sempadan Menggunakan Perisian Matematik’, IRPA short term grant, Main researcher, August 1999 – July 2000.
    4. Direction Set Based Adaptive Filtering Algorithms: Improvements & Innovations, USM short term grant, Main researcher, August 2005 – January 2008.
    5. Recursive Incomplete Factorization Preconditioner For Adaptive Filtering Problem, USM Short Term Grant, Main Researcher, December 2011 – November 2013.
    6. Recursive total least squares approach for adaptive filtering FRGS: 203/PMATHS/6711430
    7. Kernel Adaptive Subspace Tracking Methods For Nonlinear Data Processing, RUI (Khas): 1001/PMATHS/8011040

    Published papers:

     

    1. A. Wheeler, N. A. Ahmad, W. J. Boettinger, R. J. Braun, G. B. McFadden, B. T. Murray (1995), Recent Developments in Phase-field Models of Solidification, Advance Space Research, Vol. 16, No. 7, pp (7)163 – (7)172.

    2. N. A. Ahmad, A. A. Wheeler (1997), Journal of Solid State Science and Technology Letter, Vol. 4, No. 2 (Suppl).

    3. N. A. Ahmad, A. A. Wheeler, W. J. Boettinger, G. B. McFadden (1998), Solute Trapping and Solute Drag in a Phase-field Model of Rapid Solidification, Physical Review E, Vol. 58, issue 3, pp. 3436-3450.

    4. N. A. Ahmad (1999), A Study of Interface Response Functions of a Solidifying Alloy Using a Nonisothermal Phase-field Model of Solidification, Proceedings of the Asia/Pacific International Congress on Engineering Computational Modeling and Signal Processing (ECM & SP), pp. 461 – 470.

    5. N. A. Ahmad (2003), Integrating Mathematica in Mathematics Teaching and Learning: Example Problems, Proceedings of the Regional Conference on Integrating Technology in the Mathematical Sciences.

    6. N. A. Ahmad, H. C. Low, A. H. Yahya (2003), Decision Directed Adaptive Channel Equalization for White and Coloured Noise, Proceedings of the Regional Conference on Integrating Technology in the Mathematical Sciences

    7. W. J. Chiah, C. P. Lim, N. A. Ahmad, H. C. Low, A. H. Yahya (2003), Hierarchical Probabilistic Regression: A Preliminary Investigation on Classification Problems, Proceedings of the Advanced Technology Congress.

    8. Ahmad, N. A., Lye, W. K & Ho, Y. Y., (2005), Investigation into Modified Euclidean Direction Search Method for Adaptive Filtering, International Conference on Research and Education in Mathematics (ICREM2).

    9. Ahmad N. A. (2005), Comparative Study of Iterative Search Methods for Adaptive Filtering Problems (International Conference on Applied Mathematics (ICAM05).

    10. Dharmaraj, S., Jamaluddin, A. S., Mohammad Razak, H., Valliappan, R., Ahmad, N. A., Ismail, Z. (2006), The classification of Phyllanthus niruri Linn. according to location by infrared spectroscopy. Vibrational Spectroscopy, Volume 41, Issue 1, 30 May 2006, Pages 68-72

    11. Ahmad N. A. (2007), Adaptive Least Squares Problem: On the relationship between the Euclidean direction set algorithm and projection methods. International Conference on Research and Education in Mathematics (ICREM3).

    12. Ahmad N. A. (2007), Accelerated Euclidean Direction Search Algorithm and Related Relaxation Scheme for Solving Adaptive Filtering Problem. IEEE International Conference on Information, Control & Signal Processing (ICICS 2007), Nanyang Technological University, Singapore.

    13. Ahmad N.A (2008), A Globally Convergent Stochastic Pairwise Conjugate-Gradient Based Algorithm for Adaptive Filtering. IEEE Signal Procesing Letter, vol 15, pp 914 – 917.

    14. Ahmad N.A (2010), A Family of Minimal Residual Based Algorithm for Adapative Filtering. World Academy of Science, Engineering and Technology 38, pp. 116-120 (2010).

    15. Okwonu F.Z & Ahmad N.A (2010) Angle Parameter Loaded Sample Matrix Inversion Based on Inverse QRD-RLS, Global Journal of Pure and Applied Mathematic, 6(1), 17-29.

    16. Okwonu F.Z & Ahmad N.A (2010) Techniques and Analysis of Adaptive Least Squares Problems,, Global Journal of Pure and Applied Mathematic, 6(1), 17-29.

    17. Okwonu F.Z & Ahmad N.A (2010) QR Decomposition Via Givens Rotations, First Regional Conference on Applied And Engineering Mathematics (RCAEM-1 2010) Paper Presented, 2 -3 June 2010, Pinang, Malaysia.

    18. Okwonu F.Z & Ahmad N.A (2010) Incomplete Givens Orthogonalization Based on Bi-Down Dating, First Regional Conference on Applied and Engineering Mathematics (RCAEM-1 2010) Paper Presented, 2 -3 June 2010, Pinang, Malaysia.

    19. Ahmad N.A & Okwonu F.Z (2010) Incomplete QR factorization Preconditioner Based on Givens Rotations for Generalized Minimum Residual (GMRES): A Preliminary Study, International Conference on Mathematics Applications in Engineering (ICMAE’10), 3-5 August 2010, Kuala Lumpur, Malaysia.

    20. Ahmad N.A & Okwonu F.Z (2010) Least Squares Problem for Adaptive Filtering, International Conference on Mathematics Applications in Engineering (ICMAE’10), 3-5 August 2010, Kuala Lumpur, Malaysia.

    21. Ahmad N.A & Okwonu F.Z (2011), Least Squares Problem for Adaptive Filtering, Australian Journal of Basic and Applied Sciences, 5(3): 69-74.

    22. Ahmad N.A (2011) On the Recursive Minimal Residual Method with Application in Adaptive Filtering, Chapter In ‘Search Algorithms and Applications’, Ed. Prof. Nashat Mansour, Intech Open Access Publisher, ISBN 978-953-307-156-5.

    23. Ahmad, N. A. and Javed, S. (2012). "An incomplete factorization preconditioner for adaptive filtering." AIP Conference Proceedings 1482(1): 437-440.

    24. Ahmad, N.A. and Javed, S. (2012). "Minimal Residual Method for Adaptive Filtering with Finite Termination". World Academy of Science, Engineering and Technology 72, pp. 998-1001 (2012).

    25. Javed, S. and Ahmad, N.A. (2012) An Incomplete Factorization Preconditioner For LMS Adaptive Filter. World Academy of Science, Engineering and Technology 72, pp. 938-943 (2012).

    26. Javed, S. and Ahmad, N.A. (2012 An Estimation of the Performance of Hrls Algorithm. World Academy of Science, Engineering and Technology 72, pp. 340-342 (2012).

    27. Javed, S. and Ahmad, N.A. (2013) . A Recursive Block Incomplete Factorization Preconditioner for Adaptive Filtering Problem, Applied Mathematical Sciences, vol. 7, no. 63, pp. 3111-3122 (2013).

    28. Javed, S. and Ahmad, N.A. (2013) . An Incomplete Factorization Based Adaptive Filter, J. Basic. Appl. Sci. Res., 3(5)665-672, 2013.

    29. Javed, S. and Ahmad, N.A. (2014). Performance study of LMS based adaptive algorithms for unknown system identification, AIP Conf. Proc.1605,233(2014)..

    30. Cheah, K.W. and Ahmad, N.A. (2014).Robust DWT-SVD image watermarking with hybrid technique for embedding data in all frequenciesAIP Conf. Proc.1605,227(2014).

    31. S. Javed, and N. A. Ahmad, (2014) "Noise Cancelation from ECG Signals Using Householder-HRL Adaptive Filter." The 8th International Conference on Robotic, Vision, Signal Processing & Power Applications. Lecture Notes in Electrical Engineering Volume 291, 2014, pp 73-79.

    32. S. Javed, and N. A. Ahmad, (2014) “An adaptive noise cancelation model for removal of noise from modeled ECG signals.” TENSYMP2014 symposium proceedings, IEEE.

    33. S. Javed, and N. A. Ahmad, (2014) “Adaptive total least squares based speech prediction.” Proceedings of the International Conference on Information Technology and Multimedia (ICIMU2014).

    34. S. Javed, and N. A. Ahmad.(2014)Kernel Based Learning for Nonlinear System Identification”. Proceedings of the 10th IMT-GT International Conference on Mathematics, Statistics and its Applications 2014 (ICMSA 2014).

    35. S. Javed and N. A. Ahmad. (2014) “Stochastic Total Least Squares Solution of Adaptive Filtering Problem”. The Scientific World Journal, vol. 2014, Article ID 625280, 6 pages. http://dx.doi.org/10.1155/2014/625280.

    36. K. H. Mohamedali, F. Fadhel and N.A. Ahmad. (2015) “Modified Variable Gradient Method for Constructing th eLyapunov Function Using Nonliear Programming Method”. Proceedings of 10th Asian Control Conference (ASCC) 10.1109/ASCC.2015.7244616 .

    37. K. W. Cheah and N. A. Ahmad. (2015) “Stock Market Identification and Estimation Based on Reduced Fuzzy Recursive Least Squares Approach”. IEEE Student Conference on Research and Development (SCOReD 2015). 10.1109/SCORED.2015.7449334.

    38. K. H. Mohamedali and N.A. Ahmad. (2016), “Stability of Linear Delay Differential Equation Using Modified Algebraic Approach”, Journal of Telecommunication, Electronic and Computer Engineering, 8, 7 pages.

    39. K. W. Cheah and N. A. Ahmad. (2017) “Universal Approximation of Reduced Fuzzy Basis Function with Ruspini Partitioning,” Bulletin of the Malaysian Mathematical Sciences Society, 40(2), 783-794. 10.1007/s40840-015-0269-z .

    40. S. Javed, N. A. Ahmad. (2016) “Kernel Based Learning for Nonlinear System Identification, Malaysian Journal of Mathematical Sciences, 10(S). 11 pages.

    41. K. H. Al-Jizani, N. A. Ahmad, F. S. Fadhel (2017) Variational Iteration Method for Solving Riccati Matrix Differential Equations, Indonesia Journal of Electrical Engineering and Computer Science, 5(3), 673-683.

    42. K. H. Al-Jizani, N. A. Ahmad, F. S. Fadhel. (2017) He’s variational iteration method for solving Riccati matrix delay differential equations of variable coefficients, AIP Conf. Proc. 1830, 020029. 10.1063/1.4980892.

    43. K. W. Cheah, N. A. Ahmad. (2017) Fuzzy Recursive Least Squares Approach in Speech System Identification: A Transformed Domain LPC Model, International Journal of Electrical and Computer Engineering, 7(2).

Others

  • Interest: Reading a good book, swimming with my kids, spending quality time with family.

    Training:

    Year Title of Course Organizer

    1997

    1998

    1999

    1999

    2000

    2000

    2002

    2004

    2013

    2015

    Penggunaan Kalkulator Grafik untuk meningkatkan pengajaran dan pembelajaran matematik

    Bengkel Pengajaran Pembelajaran

    Bengkel pendekatan dan pemantapan pengajaran kursus teknik berfikir

    Workshop on Finite Elements: Theory and Applications

    MATLAB & Simulink Professional Training

    Bengkel Penulisan Ilmiah

    Bengkel Mentoring

    Adaptive Signal Processing: Algorithms, Applications and DSP Implementation

    Speech Recognition and the Hidden Markov Model

    Quantitative Electroencephalogram (EEG) Analysis: Methods and Clinical Applications

    Universiti Sains Malaysia

    Universiti Sains Malaysia

    Universiti Sains Malaysia

    Universiti Sains Malaysia

    TechSource Systems Sdn Bhd, Kuala Lumpur

    Universiti Sains Malaysia

    Universiti Sains Malaysia

    Activemedia Innovation Pte. Ltd., Singapore

    Solutions4u

    Universiti Teknologi Petronas

        
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