Noor Atinah Ahmad
Assoc. Prof. Dr. Noor Atinah Ahmad ORCID: https://orcid.org/0000000242497305

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:

Research Interest:

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 

Adaptive Filtering, Numerical Algorithms for Signal Processing Adaptive Filtering, Numerical Algorithms for Signal Processing Differential Equation Kernel Partial Least Squares Mathematical Modelling 
Masters 

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 GaussSeidel 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

Research Grants  An Investigation into Adaptive Digital Signal Processing for Wireless Communication: Modelling and Analysis of Algorithms, IRPA RM7 (Project no. 0402050008), Coresearcher, October 2000 – September 2004
 Characterization of Adaptive Least Squares Algorithm using Antieigenvalues, FRGS Grant, Main researcher, January 2007 – July 2010.
 ‘Penyelesaian Masalah Model Medan Fasa Melalui Kaedah Masalah Nilai Sempadan Menggunakan Perisian Matematik’, IRPA short term grant, Main researcher, August 1999 – July 2000.
 Direction Set Based Adaptive Filtering Algorithms: Improvements & Innovations, USM short term grant, Main researcher, August 2005 – January 2008.
 Recursive Incomplete Factorization Preconditioner For Adaptive Filtering Problem, USM Short Term Grant, Main Researcher, December 2011 – November 2013.
 Recursive total least squares approach for adaptive filtering FRGS: 203/PMATHS/6711430
 Kernel Adaptive Subspace Tracking Methods For Nonlinear Data Processing, RUI (Khas): 1001/PMATHS/8011040
Published papers:

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

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

N. A. Ahmad, A. A. Wheeler, W. J. Boettinger, G. B. McFadden (1998), Solute Trapping and Solute Drag in a Phasefield Model of Rapid Solidification, Physical Review E, Vol. 58, issue 3, pp. 34363450.

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

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.

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

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.

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).

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

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 6872

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).

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.

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

Ahmad N.A (2010), A Family of Minimal Residual Based Algorithm for Adapative Filtering. World Academy of Science, Engineering and Technology 38, pp. 116120 (2010).

Okwonu F.Z & Ahmad N.A (2010) Angle Parameter Loaded Sample Matrix Inversion Based on Inverse QRDRLS, Global Journal of Pure and Applied Mathematic, 6(1), 1729.

Okwonu F.Z & Ahmad N.A (2010) Techniques and Analysis of Adaptive Least Squares Problems,, Global Journal of Pure and Applied Mathematic, 6(1), 1729.

Okwonu F.Z & Ahmad N.A (2010) QR Decomposition Via Givens Rotations, First Regional Conference on Applied And Engineering Mathematics (RCAEM1 2010) Paper Presented, 2 3 June 2010, Pinang, Malaysia.

Okwonu F.Z & Ahmad N.A (2010) Incomplete Givens Orthogonalization Based on BiDown Dating, First Regional Conference on Applied and Engineering Mathematics (RCAEM1 2010) Paper Presented, 2 3 June 2010, Pinang, Malaysia.

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), 35 August 2010, Kuala Lumpur, Malaysia.

Ahmad N.A & Okwonu F.Z (2010) Least Squares Problem for Adaptive Filtering, International Conference on Mathematics Applications in Engineering (ICMAE’10), 35 August 2010, Kuala Lumpur, Malaysia.

Ahmad N.A & Okwonu F.Z (2011), Least Squares Problem for Adaptive Filtering, Australian Journal of Basic and Applied Sciences, 5(3): 6974.

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 9789533071565.

Ahmad, N. A. and Javed, S. (2012). "An incomplete factorization preconditioner for adaptive filtering." AIP Conference Proceedings 1482(1): 437440.

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. 9981001 (2012).

Javed, S. and Ahmad, N.A. (2012) An Incomplete Factorization Preconditioner For LMS Adaptive Filter. World Academy of Science, Engineering and Technology 72, pp. 938943 (2012).

Javed, S. and Ahmad, N.A. (2012 An Estimation of the Performance of Hrls Algorithm. World Academy of Science, Engineering and Technology 72, pp. 340342 (2012).

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. 31113122 (2013).

Javed, S. and Ahmad, N.A. (2013) . An Incomplete Factorization Based Adaptive Filter, J. Basic. Appl. Sci. Res., 3(5)665672, 2013.

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

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

S. Javed, and N. A. Ahmad, (2014) "Noise Cancelation from ECG Signals Using HouseholderHRL Adaptive Filter." The 8th International Conference on Robotic, Vision, Signal Processing & Power Applications. Lecture Notes in Electrical Engineering Volume 291, 2014, pp 7379.

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

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).

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

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.

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 10^{th} Asian Control Conference (ASCC) 10.1109/ASCC.2015.7244616 .

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.

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.

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), 783794. 10.1007/s408400150269z .

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

K. H. AlJizani, 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), 673683.

K. H. AlJizani, 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.

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 