Zarita Zainuddin

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Professor Dr., Zarita Zainuddin


PhD in Electrical Engineering (Neural Networks), Universiti Sains Malaysia
MSc in Applied Mathematics, Ohio University, Ohio, USA

MSc in Mathematics (Control Theory), UMIST, Manchester, United Kingdom

BA in  Mathematics (Cum Laude & Departmental Honors), Monmouth College, Illinois, USA


Email:
zarita@usm.my | Room No.: 044 | Phone: 04-6533940

 

Profile

 

Overview:

 

Professor Dr. Zarita Zainuddin’s research focuses on the improvement and development of neural network learning algorithms involving incorporation of acceleration and optimization methods into the training of neural networks for improved accuracy and convergence. These enhanced neural networks have been successfully applied to a wide range of classification and function approximation problems, from medical, including multiclass cancer classification and epileptic seizure detection and prediction, to crowd dynamics.

Apart from numerous publications, Professor Zarita has also been awarded several best paper awards presented at international conferences including the works on reliable epileptic seizure detention and prediction presented at the Artificial Intelligence in Health Workshop in Australia. In addition, in recognition of her innovative research, she has won several academic and innovation awards including the Malaysian Mathematical Association (PERSAMA)’s award (Innovation Category), twice, in 2008 and  2013, and the prestigious Malaysian Toray Science Foundation Award (MTSF) in 2003 which was awarded by the Japanese Toray Group of companies. 

            Professor Zarita has been a visiting researcher at Universiti de Quebec, Trois Rivieres, Canada (2003), Rutgers University, New Jersey, USA (2009), University of Central Florida, USA (2009), and Ummu Al Qura University, Makkah, Saudi Arabia, where collaborative research in Neural Networks and Crowd Dynamics have been established.

Selected publications:

 

  1. Zainuddin, Z., & Pauline, O. (2017). Optimization of wavelet neural networks with the firefly algorithm for approximation problems, Neural Computing and Applications, Vol. 28, 1715–1728 (ISI, I.F.: 1.492).
  1. Pauline, O., & Zainuddin, Z. (2016). Calibrating Wavelet Neural Networks by Distance Orientation Similarity Fuzzy C-Means for Approximation Problems. Applied Soft Computing, 42, 156-166. (ISI, I.F. 2.857).
  1. Zainuddin, Z., Lai, K. H., & Ong, P. (2016). An Enhanced Harmony Search Based Algorithm for Feature Selection: Applications in Epileptic Seizure Detection and Prediction. Computers & Electrical Engineering. 53 (2016) 143–162.(ISI, I.F. 1.084).
  1. Zainuddin, Z., Pauline, O. (2015) An effective fuzzy C-means algorithm based on symmetry similarity approach, Applied Soft Computing, Vol 35, 433–448 (ISI Impact factor : 2.857)
  1. Shuaib, M. M. A., Alia, O. M., & Zainuddin, Z. (2013). Incorporating the prediction factor into the investigation capability in the social force model: application on avoiding grouped pedestrians, Applied Mathematics & Information Sciences, 7(1), 323-331. (ISI, I.F.:0.731)

Research Interests:

  1. Acceleration and Optimization Methods in Neural Network Learning Algorithms
  2. Artificial Neural Networks in Solving Differential Equations
  3. Applications of Neural Networks
  4. Modeling and Simulation of Pedestrian Crowd Dynamics
  5. Mathematical Modeling

zarita ann

The award winning Acel Neural Net Toolbox

Multimedia presentation at the Professor Appointment Public Lecture on the 26th of February 2016 :

 

 

https://youtu.be/8yojU4arAR4

Teaching and Supervision

Teaching

No.

Course Code

Course Name

1.

MGM 581/4

Mathematics and Technology

2.

MSS 391/4

Special Topic Survey(Graphing Calculator Technology)

3.

MAT122/MAT223/4

Differential Equations I,

4.

MSS 281/2

Mathematical Software Lab 1

5.

MAA111/4

Algebra for Science Students


Supervision

Level

Name

Title

Post-doctoral

1.      Ong Pauline, March 2011-Jan./2013

Improved Wavelet Neural Network for Epileptic Seizure Detection, USM

2.      Dr. Saeed Panahian Fard, Feb 2015-Feb 2016

A Proposal on the Universal Approximation Capabilities of SO(3) Approximate Identity Neural Networks, USM.

Doctorate

1.      Ong Pauline, 201

An Improved Wavelet Neural Network for Classification and Function Approximation.

(2012 PERSAMA Best PhD Thesis Award -Consolation)

2.      Mohammed Mahmod Ahmad Shuaib, 2013

Development of a Microscopic Crowd Dynamic Model:Incorporating Decision Making Capability into the Social Force Model.

3.      Saeed Panahian Fard, 2014

A Study On The Universal Approximation Capability of Feedforward Neural Networks

4.      Lai Kee Huong, 2016

An Enhanced Wavelet Neural Network Model for Epileptic Seizure Detection and Prediction.

5.      Tan Lee Sen, Ongoing

Wavelet Neural Networks in Solving Differential Equations

6.      Asem Al-Nemrat, Ongoing

Sumudu Transform-Homotopy Perturbation Method to

Solve Nonlinear Differential Equations

Masters

1.      Kumatha a/p Thinakaran, 2011

A Modified Social Force Model for Crowd Dynamics.

((2012 PERSAMA Best MSc Thesis Award 2012-Consolation)

2.      Ummi Masyitah Hassan, Ongoing

Crowd Dynamics

Research

Research Grants

(i)                 Principal Researcher

  1. Developing A Novel Translation Vector Initialization Algorithm for Wavelet Neural Network Learning Process, FRGS, MOHE, RM110,000, Zarita Zainuddin & Ong Pauline, May 2013 – Apr 2016. 
  1. Developing A Novel Translation Vector Initialization Algorithm for Wavelet Neural Network Learning Process, Fundamental Research Grant Scheme, Z. Zainuddin and Ong Pauline,  RM110,000, May 2013 – October 2016. 
  1. Development and Simulation of a Modified Pedestrian Crowd Dynamics Model , Research University Grant, Z. Zainuddin and Md. Tahir Ismail, RM196,000,Aug 2010 - Jan 2015.
  1. Development of A Modified Radial Basis Function Network for Protein Structure Prediction, Geran EScience, MOSTI, Z. Zainuddin and E.A. Lim, RM126,000, Sept 2007-Jun 2009. 
  1. A Modified Version of the K-Means Algorithm for Determining Centers of Radial Basis Function Networks, Short Term USM Grant, Z. Zainuddin and E.A. Lim, RM18, 573.50, Aug 2005 – Aug 2007. 
  1. Acceleration and Optimization methods in the Development of a Neural Network System, IRPA short term grant, MOSTE,  Z. Zainuddin, RM 16,600, Oct 1997 - Dec 1998.

(ii)               Co-researcher

  1. Modification of the Crowd Dynamics Model for Safe Evacuation: Incorporating Prediction Ability and Exit Choice Adaptation as Aspects of Human Intelligence, Imam Muhammad Ibn Saud Islamic University, Saudi Arabia, RM 26,400, Mohammed Mahmod Shuaib 1 November 2016 - 1 November 2017.
  1. A New Cuckoo Search Algorithm for Wavelet Neural Networks Optimization, Fundamental Research Grant Scheme RM79, 200, Ong Pauline and Z. Zainuddin, Dec 2014-Nov 2016.
  1.  Logic in Neural Networks, Fundamental Research Grant Scheme, S. Sathasivam and Z. Zainuddin,  RM 53,000, Oct 2007-Oct 2010.
  1. Research Grant Yayasan Felda, Kajian Pencirian dan Bio-Keserasian Selulosa dan Derivatifnya daripada Bahan Buangan Kelapa Sawit untuk Kegunaan Sebagai Bio-Bahan Pergigian, Z. Zainuddin, RM236, 600, Sept 2007- 2009.
  1. Logic, Neural Networks and data Mining, Short Term USM Grant, S. Sathasivam and Z. Zainuddin, RM20, 680, Aug 2007- July 2009.
  1. Simulation of crowd at masjidil lHaram: The On-site Survey, Data Collection and Analysis,  Short Term USM Grant, F. Haron, Z. Zainuddin and Ataharul M. Islam, RM19, 281, Dec 2006 - Jun 2008.
  1.  Environmental Friendly Utilization of Oil Palm Lignocellulosic Wastes as Raw Materials for Papermaking, IRPA Grant EA Category, MOSTE, W.D. Wan Rosli and Z. Zainuddin,   RM313,750, April 2002 - Mac 2005.
  1. Utilisation of oil palm fronds as raw materials for papermaking, Short Term USM Grant, W.D. Wan Rosli and Z. Zainuddin, RM12,800, Dec 2000 - Nov 2001.

List of publications:

Published papers (Last 5 years):

  1. Pauline Ong & Zarita Zainuddin (2017) Multi‐Step Chaotic Time Series Forecasting Using Wavelet Neural Networks with an Improved Cuckoo Search Algorithm, Neural Processing Letters (ISI), under review. 
  1. Pauline Ong, Zarita Zainuddin, Kee Huong Lai (2017) A Novel Selection of Optimal Statistical Features in the DWPT‐Domain for Discrimination of Ictal and Seizure‐Free Electroencephalography Signals, Pattern Analysis and Applications (ISI, I.F.: 1.352), Accepted. 
  1. Zainuddin, Z., & Pauline, O. (2017). Optimization of wavelet neural networks with the firefly algorithm for approximation problems, Neural Computing and Applications, Vol. 28, 1715–1728 (ISI, I.F.: 1.492).
  1. S. Panahian & Z. Zainuddin (2017) Theoretical analyses of the universal approximation capability of a class of Higher Order Neural Networks based on Approximate Identity, Nature Inspired Computing, Chapter 55, p1456, IGI Global. 
  1. Ong Pauline & Zarita Zainuddin (2017) A Combinational Fuzzy Clustering Approach for Microarray Spot Segmentation Intelligent Multidimensional Data Clustering and Analysis, Chapter 12, p326, IGI Global. 
  1. Zainuddin, Z., Lai, K. H., & Ong, P (2016) A Harmony Search-Based Learning Algorithm For Epileptic Seizure Prediction, International Journal of Management and Applied Science 2(12). 164-169.
  1. Pauline, O., & Zainuddin, Z. (2016). Calibrating Wavelet Neural Networks by Distance Orientation Similarity Fuzzy C-Means for Approximation Problems. Applied Soft Computing, 42, 156-166. (ISI, I.F. 2.857). 
  1. Zainuddin, Z., Lai, K. H., & Ong, P. (2016). An Enhanced Harmony Search Based Algorithm for Feature Selection: Applications in Epileptic Seizure Detection and Prediction. Computers & Electrical Engineering. 53 (2016) 143–162.(ISI, I.F. 1.084). 
  1. Fard, S. P., & Zainuddin, Z. (2016). The Universal Approximation Capabilities of Cylindrical Approximate Identity Neural Networks, Arabian Journal for Science and Engineering, Volume 41,Issue 8, 3027–3034.(ISI, I.F.: 0.728). 
  1. Zainuddin, Z., & Pauline, O. (2015). An effective fuzzy C-means algorithm based on symmetry similarity approach. Applied Soft Computing, 35, 433-448. .(ISI, I.F.:2.857)
  1. Fard, S. P., & Zainuddin, Z. (2015). Almost everywhere approximation capabilities of double Mellin approximate identity neural networks. Soft Computing, 1-9.(ISI, I.F.:1.304) 
  1. Shuaib, M. M., & Zainuddin, Z. (2015). An Investigation Capability Model for Bidirectional Pedestrian Flow. Modern Applied Science, 9(12), 88-98. 
  1. Ong, P., Zainuddin, Z., Sia, C. K., & Zain, B. A. M. (2015). Adaptive Cuckoo Search Algorithm with Two-Parent Crossover for Solving Optimization Problems. In Advances in Swarm and Computational Intelligence (pp. 427-435). Springer International Publishing 
  1. Zainuddin, Z., Lai, K. H., & Ong, P. (2015). An Enhanced Wavelet Neural Network Model with Metaheuristic Harmony Search Algorithm for Epileptic Seizure Prediction. International Journal of Modeling and Optimization, 5(2), 90-97. 
  1. Fard, S. P., & Zainuddin, Z. (2014). The universal approximation capabilities of double 2-pi-periodic approximate identity neural networks, Soft Computing, 1-8. (ISI, I.F.:1.304) 
  1. Fard, S. P., & Zainuddin, Z. (2014). Analyses for L^p [a, b]-norm approximation capability of flexible approximate identity neural networks, Neural Computing & Applications, 45-50. (ISI, I.F.:1.763) 
  1. Zainuddin, Z. & Ong, P. (2014). Improved wavelet neural networks and its applications in function approximation, Encyclopedia of Information Science and Technology, 3rd Edition, published by Information Resources Management Association, USA. 
  1. Fard, S. P., & Zainuddin, Z. (2014). The Universal Approximation Capability of Double Flexible Approximate Identity Neural Networks, Computer Engineering and Networking , Lecture Notes in Electrical Engineering, 277, 125-133. 
  1. Fard, S. P., & Zainuddin, Z. (2014). Toroidal Approximate Identity Neural Networks Are Universal Approximators, Neural Information Processing, Lecture Notes in Computer Science, 8834, 135-142. 
  1. Shuaib, M. M. A., Alia, O. M., & Zainuddin, Z. (2013). Incorporating prediction factor into the investigation capability in the social force model: application on avoiding grouped pedestrians, Applied Mathematics & Information Sciences, 7(1), 323-331. (ISI, I.F.:0.731) 
  1. Fard, S. P., & Zainuddin, Z. (2013). The universal approximation capabilities of Mellin approximate identity neural networks, Advances in Neural Networks,Lecture Notes in Computer Science, 7951, 205-213. 
  1. Fard, S. P., & Zainuddin, Z. (2013). On the universal approximation capability of flexible approximate identity neural networks, Emerging Technologies for Information Systems, Computing, and Management, Lecture Notes in Electrical Engineering, 236, 201-207. 
  1. Zainuddin, Z., & Ong, P. (2013). Design of wavelet neural networks based on symmetry fuzzy c-means for function approximation, Neural Computing & Applications, 1-13.(ISI, (I.F.:1.168) 
  1. Zainuddin, Z.,  Lai, K. H., & Ong, P. (2013). Reliable epileptic seizure detection using an improved wavelet neural network. Australasian Medical Journal, 6(5), 308-314. Awarded the Best Paper Award, the Second Australian Workshop on Artificial Intelligence in Health, AIH 2012. 
  1. Wanrosli, W. D., Zainuddin, Z., Ong, P., & Rohaizu, R. (2013). Optimization of cellulose phosphate synthesis from oil palm lignocellulosics using wavelet neural networks. Industrial Crops and Products, 50, 611-617.(I. F.: 2.468)
  1. Zainuddin, Z., & Lim, E. A. (2012). Intelligent exit-selection behaviors during a room evacuation. Chinese Physics Letters, 29(1), 1-4.(ISI, (I.F.):0.731)
  1. Zainuddin, Z., & Lim, E. A. (2012). Response surface analysis of crowd dynamics during Tawaf. Chinese Physics Letters, 29(7), 1-5.(ISI, I.F.:0.731)
  1. Zainuddin, Z., & Ong, P. (2012). An effective and novel wavelet neural network approach in classifying type 2 diabetics. Neural Network World, 22(5), 407-428.(ISI, I.F.:0.646)
  1. Zainuddin, Z., Wan Daud, W. R., Ong, P.,& Shafie, A. (2012). Pulp and paper from oil palm fronds: wavelet neural networks modeling of soda-ethanol pulping. Bioresources, 7(4), 5781-5793.(ISI, I.F:. 1.328) 
  1. Zainuddin, Z., & Fard, S. P. (2012). Double approximate identity neural networks universal approximation in real Lebesgue spaces, Neural Information Processing, Lecture Notes in Computer Science, 7663, 409-415. 
  1. Zainuddin, Z., & Lim, E. A. (2012). Refined cellular automata model for Tawaf simulation, Proceedings of the 2012 IEEE Symposium on Computers & Informatics, Penang, Malaysia. 
  1. Zainuddin, Z., &Shuaib, M. M. A. (2011).Modelling the independency factor and its effect on the preferred force of the Social Force Model in emergency and non-emergency situations, Applied Mathematics & Information Sciences,5(1), 53-64. (ISI, I.F.:0.642) 
  1. Zainuddin, Z.,&Shuaib, M. M. A. (2011).Modification of the decision making capability in the Social Force Model for the evacuation process, Transport Theory and Statistical Physics, 39, 1-24 .(ISI, I.F.:0.489) 
  1. Zainuddin, Z., &Fard, S. P. (2011). Interval type-2 fuzzy neural networks version of the Stone-Weierstrass theorem, Neurocomputing, 74(14-15), 2336-2343. (ISI, I.F.:1.442) 
  1. Zainuddin, Z., Wan Daud, W. R., Ong, P., & Shafie, A. (2011). Modeling of organosolv pulping process using wavelet neural networks. Proceedings of the International Conference on Computer Technology and Development. 
  1. Zainuddin, Z., & Ong, P. (2011). Wavelet neural networks with a new translation vector initialization approach for multiclass cancer classification. Proceedings of the ICGST International Conference on Computer Science and Engineering. 
  1. Wan Daud, W. R., Zainuddin, Z., Ong, P., &Shafie. A. (2011). Optimization of the Pulping Process: Polynomial vs. Neural Network Models. Proceedings of the ICGST International Conference on Computer Science and Engineering. 
  1. Zainuddin, Z., Thinakaran, K., & Shuaib, M. M. A. (2011). An age based dynamic respect factor for pedestrian dynamics. Proceedings of the ICGST International Conference on Computer Science and Engineering. 
  1. Zainuddin, Z., & Ong, P. (2011). Reliable multiclass cancer classification of microarray gene expression profiles using an improved wavelet neural network. Expert System with Applications, 38(11), 13711-13722. (ISI, I.F.:1.926) 
  1. Zainuddin, Z., & Ong, P. (2011). Modified wavelet neural network in function approximation and its application in prediction of time-series pollution data. Applied Soft Computing, 11(8), 4866-4874.(ISI, I.F.:2.097) 
  1. Zainuddin, Z., Wan Daud, W.R., Ong, P., &Shafie, A. (2011). Wavelet neural networks applied to pulping of oil palm fronds. Bioresource Technology, 102(23), 10978-10986. (ISI, I.F.:4.365)

Conference Proceedings (Last 5 years):

  1. Ummi Nurmasyitah Hassan, Zarita Zainuddin & Ibtesam M Abu Sulyman (2017) A Modified Social Force Model for Crowd Dynamics, Prosiding Simposium Kebangsaan Sains Matematik ke24(ISI Proceedings) (In press). 
  1. Kee Huong Lai, Zarita Zainuddin, Pauline Ong (2017) A Study on the Performance Comparison of Metaheuristic Algorithms on the Learning of Neural Networks Prosiding Simposium Kebangsaan Sains Matematik ke24, (ISI Proceedings) (In press). 
  1. Lai, K. H., Zainuddin, Z., & Ong, P. (2015). On the use of harmony search algorithm in the training of wavelet neural networks. In THE 22ND NATIONAL SYMPOSIUM ON MATHEMATICAL SCIENCES (SKSM22): Strengthening Research and Collaboration of Mathematical Sciences in Malaysia (Vol. 1682, p. 020026). AIP Publishing. 
  1. Fard, S. P., & Zainuddin, Z. (2015). Universal Approximation by Generalized Mellin Approximate Identity Neural Networks. In Proceedings of the 4th International Conference on Computer Engineering and Networks (pp. 187-194). Springer International Publishing. 
  1. Zainuddin, Z., Lai, K. H., & Ong, P. (2014). Efficient feature selection using a hybrid algorithm for the task of epileptic seizure detection. AIP Conference Proceedings (Vol. 1605, p. 209-214). Indexed in ISI. 
  1. Ong, P., & Zainuddin, Z. (2013). An efficient cuckoo search algorithm for numerical function optimization. AIP Conference Proceedings (Vol. 1522, p. 1378). Indexed in ISI. 
  1. Zainuddin, Z., Lai, K. H., & Ong, P. (2013). Wavelet neural networks initialization using hybridized clustering and harmony search algorithm: Application in epileptic seizure detection. AIP Conference Proceedings (Vol. 1522, p. 251-260). Indexed in ISI. 
  1. Zainuddin, Z., Lai, K. H., & Ong, P. (2012). On the use of wavelet neural networks in the task of epileptic seizure detection from electroencephalography signals. Procedia Computer Science, 11(1), 149-159.(ISI Proceedings). 
  1. Zainuddin, Z., & Lim, E. A. (2012). Refined cellular automata model for Tawaf simulation, Proceedings of the 2012 IEEE Symposium on Computers & Informatics, Penang, Malaysia.

 

Others

Interest & Hobbies : Reading, Cooking, Gardening, Travelling

Training & Conferences:

Community Services: Career and Motivational talks at schools, Parent Teacher Association

Bodies & Professional:

  1. Member, International Neural Network Society (INNS), USA.
  2. Life Member, Persatuan Sains Matematik Malaysia (PERSAMA), Malaysia.

 

Teaching

No.

Course Code

Course Name

1.

MGM 581/4

Mathematics and Technology

2.

MSS 391/4

Special Topic Survey(Graphing Calculator Technology)

3.

MAT122/MAT223/4

Differential Equations I,

4.

MSS 281/2

Mathematical Software Lab 1

5.

MAA111/4

Algebra for Science Students


Supervision

Level

Name

Title

Post-doctoral

1.   Ong Pauline, March 2011-Jan./2013

2.   Dr. Saeed Panahian Fard, Feb 2015-Feb 2016

Improved Wavelet Neural Network for Epileptic Seizure Detection, USM

A Proposal on the Universal Approximation Capabilities of SO(3) Approximate Identity Neural Networks, USM.

Doctorate

1.   Ong Pauline, 2011

2.   Mohammed Mahmod Ahmad Shuaib, 2013

 

3.   Saeed Panahian Fard, 2014

4.   Lai Kee Huong, 2016

5.   Tan Lee Sen, Ongoing

6.   Asem Al-Nemrat, Ongoing

An Improved Wavelet Neural Network for Classification and Function Approximation.

(2012 PERSAMA Best PhD Thesis Award -Consolation)

Development of a Microscopic Crowd Dynamic Model:Incorporating Decision Making Capability into the Social Force Model.

 A Study On The Universal Approximation Capability of Feedforward Neural Networks

An Enhanced Wavelet Neural Network Model for Epileptic Seizure Detection and Prediction.

Wavelet Neural Networks in Solving Differential Equations

Sumudu Transform-Homotopy Perturbation Method to

Solve Nonlinear Differential Equations

Masters

1.   Kumatha a/p Thinakaran, 2011

2.   Ummi Masyitah Hassan, Ongoing

A Modified Social Force Model for Crowd Dynamics.

((2012 PERSAMA Best MSc Thesis Award 2012-Consolation)

Crowd Dynamics

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