Saratha Sathasivam

SS  Saratha a/p Sathasivam
B.Sc. Ed, M.Sc. USM, Ph.D. UM
Neural Networks, Logic
Room no: 033, Ext: 2428
saratha@usm.my 

Profile

Main research areas

  1. Neural Networks
  2. Data Mining
  3. Agent Based Modelling
  4. Numerical Methods

Post-grad students graduated under main supervision:

  1. Augustine Pwasong, PhD. (2014). On The Fusion Of Regression And Neural Network Methods.
  2. Abdullar Sagir, PhD. (2014). The Integrated Fuzzy Models For Pattern Recognition.
  3. Mamman Mammuda, PhD. (2014). Fuzzy Models In Data Learning.
  4. Mohd Asyraf, PhD. (2005). 3-SAT Problems In Meta Heuristic Algorithm.
  5. Mohd Shareduwan, PhD. (2005). 2-SAT Problems In Pattern Recognition.

Short Biodata (< 100 words)

Associate Professor Dr. Saratha Sathasivam is a lecturer in the Universiti Sains Malaysia, School of Mathematical Sciences since 2007. She received her B.Sc (2001) in education and MSc (2003)in Mathematics from the same university. PhD degree (2007) in Physics was granted by University of Malaya, Malaysia. Her research work focused on neural networks and data mining. She has few publications related to neural networks and logic.

Sample publications within the last 5 years:

Saratha Sathasivam and Abdullah Sagir. 2006. A Novel Adaptive Neuro Fuzzy Inference System Based Classification Models for Heart Disease Prediction, Pertanika Journal, in press.

Saratha Sathasivam and Augustine Pwasong. 2016. On The Fusion Of Regression And Neural Network Methods, Int Journal of Intelligent System, in press.

Saratha Sathasivam and Augustine Pwasong. 2016. On The Fusion Of Regression And Neural Network Methods, Int Journal of Intelligent System, in press.

Saratha Sathasivam and Augustine Pwasong. 2016. A New Hybrid Quadratic Regression and Cascade Forward Backpropagation Neural Network, Neurocomputing 182, pp 197-209.

Details

Full Name

  Dr. Saratha a/p Sathasivam

Academic Qualifications

  B. Sc. (USM), M.Sc. (USM), Ph.D (UM)

Current Professional Membership

1. AHLI PERSAMA (LIFE MEMBER)
2. AHLI MAJLIS PUSAT PENGAJIAN SAINS MATEMATIK

Current Teaching and Administrative Responsibilities

MAT282, MSG389, MSG 391, MAT 510, SHE 101

Previous Employment

FELLOW ASTS (2001-2007)

Conferences and Training

• Bengkel Writing Effective Grant Proposals and Techniques and Tips on Writing Research papers. 2010. Penang.

• CPD training. 2010. Penang.

• Induction course, Teaching and Learning course. Penang. 2009.

• Workshop on Sustainability and Higher Education. 2009. Penang.


Research and Publications

Research
< 10 years experience

Publications

1. Wan Rosli, W.D. , Zainuddian, Z., Lanouetteb, R. & Saratha Sathasivam. 2004. Modelling of Pulping of Sugar Maple Using Advance Neural Network Learning. International Journal of Computational Intelligence, 1(1), pp 1-12.

2. Saratha Sathasivam & Wan Abdullah, W.A.T. 2008. Flatness of the Energy Landscapes of Horn Clauses, MATEMATIKA, 23(2), pp 147-156.

3. Saratha Sathasivam & Wan Abdullah, W.A.T. 2008. Logic Leaning in the Hopfield Network, Modern Applied Science, 2(3), pp 57-62.

4. Saratha Sathasivam. 2009. Enhancing Logic Programming Performance in Recurrent Hopfield Network, European Journal of Scientific Research, 37(1), pp 1-7.

5. Saratha Sathasivam. 2009. Logical Content in the Recurrent Hopfield Network Without Higher Order Connections, European Journal of Scientific Research, 37(3), pp 361-367.

6. Saratha Sathasivam. 2009. Learning Rule Performance Comparison in Hopfield Network, American Journal of Scientific Research, Issue 6, pp 15-22.

7. Saratha Sathasivam & Wan Abdullah, W.A.T. 2010. The Satisfiability Aspect of Logic on Little Hopfield Network, American Journal of Scientific Research, Issue 7, pp 90-105.

8. Saratha Sathasivam. 2010. Upgrading Logic Programming in Hopfield Network, Sains Malaysiana, 39(1), pp115-118.

9. Saratha Sathasivam & Wan Abdullah, W.A.T. 2010. Logic Mining in Neural Network, Computing. Available online 18 Sept. 2010.

10.Saratha Sathasivam. 2010. Extracting rules by using neural-symbolic approach. Chapter in Mathematics and Economic Book by School of Mathematical Sciences, Universiti Sains Malaysia. Accepted

Proceedings

1. Zainuddin, Z. & Saratha Sathasivam. 2001. Modelling Nonlinear Relationship in Ecology and Biology Using Neural Networks. Proceedings of the Ecology Modelling, USM, Malaysia.

2. Zainuddin, Z. , Saratha Sathasivam and Yahya Abu Hassan. 2002. Conjugate Gradient Methods in Training Neural Networks. Advanced Technology Conference in Mathematics, MMU, Malaysia.

3. Zainuddin, Z. & Saratha Sathasivam. 2003. Preconditioned Conjugate Gradient Methods in Training Neural Networks.Regional Conference On Integrating Technology In The Mathematical Science 2003, USM, Malaysia.

4. Zainuddin, Z. & Saratha Sathasivam. 2003. Preconditioned Conjugate Gradient Methods in Training Neural Networks. International Conference on Advancement in Science and Technology (ICAST), UIA, Malaysia.

5. Zainuddin, Z. & Saratha Sathasivam. 2004. Preconditioned Conjugate Gradient Methods in Training Multilayer Perceptron. International Conference on Computer Graphic, Imaging and Visualization (CGI’ 04)., USM, Malaysia.

6. Zainuddin, Z. & Saratha Sathasivam. 2004. Advanced Neural Network Learning Applied to Modelling of Sugar Maple. 3rd USM-JIRCAS Joint International Sympossium Lignocellutose, Park Royal, Penang.

7. Zainuddin, Z. & Saratha Sathasivam. 2004. Multilayer Perceptron Training Using Preconditioned Conjugate Gradient Method. Sympossium Kebangsaan Sains Matematik ke-12. UIA, Malaysia.

8. Wan Rosli, W.D. , Zainuddin, Z. , Lanouetteb, R. and Saratha Sathasivam. 2004. Modelling of Pulping of Sugar Maple Using Advance Neural Network Learning. International Conference on Computational Intelligence, Turkey, Istanbul.

9. Wan Abdullah, W.A.T. & Saratha Sathasivam. The Horn Landscape. 2005. Ekspo Penyelidikan, Rekacipta & Inovasi UM, UM, Malaysia.

10. Wan Abdullah, W.A.T. & Saratha Sathasivam. Logic Mining Using Neural Networks. 2005. International Conference In Intelligent System, UTP, Malaysia.

11. Wan Abdullah, W.A.T. & Saratha Sathasivam. Logical Rules Induction. 2006. In Proceedings of 2nd IMT-GT Regional Conference on Mathematics, Statistic and Applications, pp 10-12, USM, Penang. 

12. Saratha Sathasivam. Horn Energy Landscape. 2007. In 3rd IMT-GT Regional Conference on Mathematics, Statistic and Applications, USM, Penang. 

13. Saratha Sathasivam. 2007. Logic Mining in Neural Networks. Seminar at School of Science Mathematics, USM.

14. Saratha Sathasivam. Energy Landscapes for Hopfield Network Programmed with Program Clauses. 2008. In 4th IASTED International Conference in Advances Computer Science and Technology, Langkawi, Malaysia.

15. Saratha Sathasivam. Energy Landscapes of Program Clauses. 2008. In Simpossium Kebangsaan Sains Matematik, pp 246-251, Kelantan, Malaysia.

16. Saratha Sathasivam. Learning in the Recurrent Hopfield network. 2008. In Computer Graphics, Imaging and Visualization (CGIV), pp 323-328, Penang, Malaysia.

17. Saratha Sathasivam. Logic in Recurrent Hopfield Network. 2008. In 3rd International Conferences in Mathematics and Statatistics, Bogor, Indonesia.

18. Saratha Sathasivam. Mining Logic from Neural Networks. 2008. In 2nd Engineering Conference on Sustainable Engineering Infrastructures Development and Management, pp 899-902, Sarawak, Malaysia.

19. Saratha Sathasivam. Energy Relaxation for Hopfield Network with the New Learning Rule. 2009. In Power Global and Optimization, pp 118-122, Bali, Indonesia.

20. Saratha Sathasivam. Improving Energy Relaxation in Hopfield Network by Using Augmented Lagrange Multiplier. 2009. In International Conference on Mathematical Sciences, Istanbul, Turkey.

21. Saratha Sathasivam. Data Mining in Network Without Higher Order Connections. 2009. In 10th Islamic Countries Conference on Statistical Sciences, pp 1-5, Cairo, Egypt.

22. Saratha Sathasivam. 2009. Logic Programming in Hopfield Network by using relaxation rate.In 5th Asean Mathematical Conference, PWTC, Malaysia.

23. Saratha Sathasivam. 2009. Improving Energy Relaxation in Hopfield Network. In International Conference in Information Theory and Engineering, pp 161-164, Sabah, Malaysia.

24. Saratha Sathasivam. 2010.3-CNF Formula Satisfiability in Neuro-Symbolic Integration. In International Conference on Arts, Social Sciences & Technology, pp 1-6, Penang, Malaysia.

25. Saratha Sathasivam. 2010.Neuro-symbolic Performance Comparison. In International Conference on Computer Engineering and Application, pp 3-5, Bali, Indonesia. ISBN: 978-0-7695-3982-9

26. Saratha Sathasivam. 2010.Clauses Representation Comparison in Neuro-symbolic Integration.. In World Congress of Engineering, London, UK. Proceeding (ISBN: 978-988-17012-9-9), pp 34-37.

27. Saratha Sathasivam.2010.Usage of New Activation Function in Neuro-Symbolic Integration. In 4th Asian Physics Sympossium, Bali Indonesia. 

28. Saratha Sathasivam. 2010. Neuro symbolic integration using pseudo inverse rule. In Annual International Conference on Advance Topics in Artificial Intelligence. Phuket, Thailand.

29. Saratha Sathasivam. 2010. Deduction in neural networks. In International Conference in Science and Technology, Penang, Malaysia.


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