Saratha Sathasivam

SS  ASSOCIATE PROFESSOR DR.SARATHA SATHASIVAM
PhD Physics, University Malaya, Malaysia.
MSc Mathematics, Universiti Sains Malaysia.
BSc Mathematics, Universiti Sains Malaysia.

Email:
saratha@usm.my | Room No.: 033 | Phone: 04-6532428

Profile

Overview:Saratha Sathasivam received a Bachelor Degree of Education (Science) and Master of Science (Mathematics) from Universiti Sains Malaysia and PhD from Universiti Malaya in 2001, 2003 and 2007 respectively. She was fellow under Academic Staff Training System of Universiti Sains Malaysia from 2002-2007. She is serving School of Mathematical Sciences, Universiti Sains Malaysia since 2007. Her research interests mainly focus on neural network, logic programming data mining and agent based modelling.

Selected publications:

  1. Mohd Shareduwan Mohd Kasihmuddin, Mohd Asyraf Mansor and Saratha Sathasivam, Hybrid Genetic Algorithm in the Hopfield Network for Logic Satisfiability Problem, Pertanika J. Sci. & Technol., 2017, 25, 1, 139-152.
  2. Abdu Masanawa Sagir and Saratha Sathasivam, A Novel Adaptive Neuro Fuzzy Inference System Based Classification Model for Heart Disease Prediction, Pertanika J. Sci. & Technol, 2017, 25, 1, 43-56.
  3. Nawaf Hamadneh, Waqar A. Khan, Saratha Sathasivam, Hong Choon Ong, Design Optimization of Pin Fin Geometry Using Particle Swarm Optimization Algorithm, PLOS ONE, 2013, 8, 5, 1-9.
  4. Saratha Sathasivam, Wan Abdullah, W.A.T., Logic Mining in Neural Network:Reverse Analysis Method, Computing(Vienna/New York), 2011, 91, 2, 119-133.
  5. Saratha Sathasivam, Upgrading Logic Programming in Hopfield Network, Sains Malaysiana, 2010, 39, 1, 115-118.

Research Interest:

  1. Neural Networks
  2. Logic Programming
  3. Numerical Methods

 

saratha

                     PhD students

 

Teaching & Supervision

Teaching

No. Course Code Course Name
1 MAT 282 ENGINEERING COMPUTATION 1
2 MSG 389 ENGINEERING COMPUTATION 2
3 MSG 382 INTRODUCTORY NUMARICAL METHODS
4 MSS 381 MATHEMATICAL SOFTWARE LABORATORY
5 MSG 489 NUMERICAL METHODS IN DIFFERENTIAL EQUATIONS
6 MAT 518 NUMERICAL METHODS FOR DIFFERENTIAL EQUATIONS

Supervision

Level Name Title
Doctorate
  1. NAWAF NOUR EDDIN BADI HAMADNEH (2014)
  1. ABDU MASANAWA

SAGIR(2016)        

  1. MAMMAN MAMUDA(2016)

Logic Programming In Radial Basis Function Neural Networks

An Integrated Fuzzy Model for Pattern Recognition

Forecasting Performance of Cascade Forward Back Propagation Neural Network for Data with Outliers.

 
  1. PWASONG AUGUSTINE DAVOU(2016)
Forecasting Performance of Time Series and Regression Models with Neural Network Models
 
  1. MOHD SHAREDUWAN BIN MOHD KASIHMUDDIN(2017)
Satisfiability Logic Programming Incorporating with Metaheuristics in Hopfield Neural Networks
    Enhanced Hopfield Neural Networks with Artifical Immune System Algorithm for Satisfiabiliity Logic Programming
 
  1. AL ZAEEMI SHEHAB ABDULHABEB SAEED(2017:ONGOING)
Kernel Hopfield

Masters

(Research Mode)

  1. NG PEI FEN (2014)
Agent Based Modelling in Doing Logic Programming in Hopfield Network.

Bachelors

(Last 2 years)

  1. Tan Ley Hua and Tan Hui Yik
Activation Function in Logic Programming
 
  1. Nurzulaikha binti Ab Lah (2015)
Neuro Symbolic Integration
 
  1. Mardhiyana Abidin (2015)
Binary and Bipolar Representation

 

Research

Research Grants
  1. Logic in Neural Networks, KEMENTERIAN PENGAJIAN TINGGI, RM53,000.00, 15/10/2007-15/3/2011
  2. Abduction, Deduction And induction In Neural Network, USM (RU), RM71,000.00, 15/3/2009-14/9/2011
  3. Enhancing Neuro Symbolic Integration Incorporating Neural Networks and Logic Programming, USM (INSENTIF), RM5,000.00, 7/10/2009-6/10/2010
  4. Enhancing Neuro-Symbolic Integration by Using Boltzmann Machine and Modify Activation Function, USM (JANGKA PENDEK), RM37,130.00, 15/10/2010-14/10/2012
  5. Developing Agent Based Modeling Using Boltzmann Machine And Activation Function For Logic Programming And Reverse Analysis, KEMENTERIAN SAINS, TEKNOLOGI DAN INOVASI, RM93,800.00, 1/5/2012-31/10/2013
  6. Higher Order Logic Programming in Radial Basis Network, USM (JANGKA PENDEK), RM38,736.84, 15/6/2012-14/12/2014
  7. Building And Developing Agent Based Modelling For Higher Order Logic In Neuro Symbolic Integration, KEMENTERIAN PENGAJIAN TINGGI, RM66,099.00, 1/12/2013-28/2/2016
  8. Logic, Neural Networks and Data Mining,USM (JANGKA PENDEK),RM20680, 1/8/2007 - 31/7/2009
  9. Insentif Graduate on time,Universiti Sains Malaysia,RM 5000, 1/11/2015 - 31/10/2017
Possible Research Title
  1. AGENT BASED MODELLING
  2. METAHEURISTIC METHODS
  3. NEURO SYMBOLIC INTEGRATION

 

List of publications:

1. Zainuddin,Z. and Saratha Sathasivam, 2001, Modelling Nonlinear Relationship in Ecology and Biology Using Neural Networks, , National Workshop on Ecological and Environmental Modeling (2001) , USM, 88-95
 
2. Zarita Zainuddin, Saratha Sathasivam and Yahya Abu Hassan, 2002, Conjugate Gradient Methods in Training Neural Networks, , 7th Asian Technology Conference in Mathematics, Malacca, 429-436
 
3. Zainuddin, Z and Saratha Sathasivam, 2003, Training Neural Networks Using Preconditioned Conjugate Gradient Methods, , Integrating Technology in the Mathematical Sciences, USM, 452-460
 
4. Zarita Zainuddin, Saratha Sathasivam and Yahya Abu Hassan, 2003, Preconditioned Conjugate Gradient Methods in Training Neural Networks, , International Conference on Advancement in Science and Technology (ICAST), Nikko Hotel, Kuala Lumpur, 62-64
 
5. W. D. Wan Rosli, Z. Zainuddin, R. Lanouette, S. Sathasivam, 2004, Modelling of Pulping of Sugar Maple Using Advance Neural Network Learning, , International Conference on Computational Intelligence, ICCI 2004, Turkey, 177-180
 
6. Zarita Zainuddin, Saratha Sathasivam, Wan Rosli Wan Daud and Robert Lanouette, 2004, Advanced Neural Network Learning Applied to Modelling of Pulping of Sugar Maple, , 3rd USM-JIRCAS Joint International Sympossium Lignocellutose, Penang, 1-8
 
7. Zarita Zainuddin, Saratha Sathasivam and Yahya Abu Hassan, 2004, Fast Learning in Artificial Neural Networks:Multilayer Perceptron Training Using Preconditioned Conjugate Gradient Method, , Simpossium Kebangsaan Sains Matematik ke-12, Kuala Lumpur,  23-38.
 
8. Wan Abdullah, W.A.T and Saratha Sathasivam, 2005, Logic Mining Using Neural Networks, , International Conference on Intelligent System (ICIS 2005), Kuala Lumpur.
 
9. WAT Wan Abdullah and Saratha Sathasivam, 2006, Logical Rules Induction, , Second IMT-GT Regional Conference on Mathematics, Statistics and Applications, Penang, 1-7.
 
10. Saratha Sathasivam and Wan Abdullah, W.A.T, 2007, Horn Energy Landscapes, , 3rd IMT-GT Regional Conference on Mathematics, Statistics and Applications, USM, 349-353
 
11. Saratha Sathasivam, 2008, Energy Landscapes of Program Clauses, , Simpossium Kebangsaan Sains Matematik ke-16, Kelantan, 246-251
 
12. Saratha Sathasivam, 2008, Logic in Recurrent Hopfield Network, , 3rd International Conference in Mathematics and Statistics, Bogor, 1-6
 
13. Saratha Sathasivam, 2008, Mining Logic from Neural Networks, , 2nd Engineering Conference on Sustainable Engineering Infrastructures Development and Managemant, Kuching, Sarawak, 1-4
 
14. Saratha Sathasivam, 2009, Improving Energy Relaxation in Hopfield Network by Using Augmented Lagrange Multiplier, , International Conference on Mathematical Sciences, Istanbul, Turkey, 1
 
15. Saratha Sathasivam, 2009, Data Mining in Network Without Higher Order Connections, , 10th Islamic Countries Conference on Statistical Sciences, Cairo, 1-5
 
16. Saratha Sathasivam, 2010, 3-CNF Formula Satisfiability in Neuro-Symbolic Integration, , International Conference on arts,Social Sciences and Technology, Penang, 1-6
 
17. Saratha Sathasivam, 2010, Clauses Representation Comparison in Neuro-Symbolic Integration, , World Congress of Engineering, London, 34-37
 
18. Saratha Sathasivam and Muraly Velavan, 2010, Neuro Symbolic Integration Using Pseudo Inverse Rule, , International Conference on Advance Topics in Artificial Intelligence, Phuket, 69-73
 
19. Saratha Sathasivam, 2010, Deduction in Neural Networks, , 3rd International Conference on Science and Technology, Penang, 1-4
 
20. Saratha Sathasivam, 2011, Application of Neural Networks in Predictive Data Mining, , 2nd International Conference in Business Economic and Research, Holiday Villa, Langkawi, Malaysia, 371-376
 
21. Saratha Sathasivam, 2011, Knowledge Extraction in Hopfield Network, , International Conference on Management and Artificial Intelligence, Bali, 1-5
 
22. Saratha Sathasivam, 2011, Negation as failure approach in neuro symbolic integration, , ANNA WORLD '11 - The 2011 World Congress & Expo, Chennai, 1-9
 
23. Saratha Sathasivam, 2012, Applying Deduction in Hopfield Networks, , International Conference on Arts, Social Sciences and Technology, Penang, I24871-I24876
 
24. Nawaf Hamadneh, Saratha Sathasivam and Ong Hong Choon, 2012, Solving Traveling Salesman Problem in Radial Basis Function Network, , International Conference on Intelligent Systems (ICIS 2012), Penang, 130-133
 
25. Saratha Sathasivam, Ng Pei Fen and Muraly Velavan, 2013, 6th Engineering Conference Energy and Environment, , Application of Higher Order Hopfield Network, Sarawak, 1-5
 
26. Mohd Asyraf Mansor and Saratha Sathasivam, 2015, Activation Function Comparison in Neural Symbolic Integration, , Proceeding of Simpossium Kebangsaan Sains Matematik ke-23, Johor, Johor, 1-4
 
27. Saratha Sathasivam and Muraly Velavan, 2016, Deduction in Agent Based Modelling, , Simpossium Kebangsaan Sains Matematik ke 24, Kuala Terengganu, 1-4.

 

Refereed Proceeding

 
 
1. Zainuddin, Z and Saratha Sathasivam, 2004, Preconditioned Conjugate Gradient Methods in Training Multilayer Perceptron, , International Conference on Computer Graphics, Imaging and Visualization (CGIV 04), Penang, 251-255
 
2. Saratha Sathasivam, 2008, Energy Landscape for Hopfield Network Programmed with Program Clauses, , 4th IASTED International Conference on Advances in Computer Science and Technology,ACST 2008, Langkawi, Malaysia, 179-182
 
3. Saratha Sathasivam, 2008, Learning in the Recurrent Hopfield Network, , Computer Graphics, Imaging and Visualisation, Modern Techniques and Applications (CGIV), Penang, 323-328
 
4. Saratha Sathasivam, 2009, Improving Logic Programming in Hopfield Network with Sign Constrained, , International Conference on Computer Technology and Development ICCTD, Kota Kinabalu, 161-164
 
5. Saratha Sathasivam, 2009, Energy Relaxation for Hopfield Network with the New Learning Rule, , Power Global and Optimization, Bali, Indonesia, 118-122
 
6. Saratha Sathasivam, 2010, Usage Of New Activation Function In Neuro-Symbolic Integration, , The 4th Asian Physics Sympossium, AIP Conference Proceedings 1325, Institut Teknologi Bandung, 171-174
 
7. Saratha Sathasivam, 2010, Neuro-symbolic Performance Comparison, , International Conference on Computer Engineering and Applications ICCEA 2010, Bali,Indonesia, 3-5
 
8. Saratha Sathasivam, 2011, Applying Different Learning Rules in Neuro-Symbolic Integration, , 2011 International Conference on Applied Physics and Mathematics, Chennai, India, 4
 
9. Saratha Sathasivam, 2011, Abduction In Neuro Symbolic Integration, , The Sixth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2011) , Penang, 357-361
 
10. Saratha Sathasivam, Ng Pei Fen, Muraly Velavan, 2013, Boltzmann Machine and Reverse Analysis Method, , 2013 IEEE 7th International Power Engineering and Optimization Conference (PEOCO 2013), Malaysia, 52-56
 
11. Saratha Sathasivam and Muraly Velavan, 2013, Application of Boltzmann Machine in Higher Order Hopfield Networks, , 7th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2013), Chiang Mai , Thailand, 1-6
 
12. Nawaf Hamadneh, Saratha Sathasivam, Ong Hong Choon, 2013, Computing Single Step Operators of Logic Programming in Radial Basis Function Neural Networks, , Simpossium Kebangsaan Sains Matematik ke-21, Penang, 1-6
 
13. Nawaf Hamadneh, Saratha Sathasivam, Ong Hong Choon, 2013, Satisfiability of Logic Programming based on radial basis function neural networks , , Simpossium Kebangsaan Sains Matematik ke-21, Penang, 1-6
 
14. Nawaf Hamadneh, Saratha Sathasivam, and Ong Hong Choon, 2014, Computing single step operators of logic programming in radial basis function neural networks, , AIP Proceeding for SKSM 21, Malaysia, 459-463
 
15. Nawaf Hamadneh, Saratha Sathasivam, Surafel Luleseged Tilahun and Ong Hong Choon, 2014, Satisfiability of logic programming based on radial basis function neural networks, , AIP Proceeding for SKSM 21, Malaysia, 547-550
 
 
16. Saratha Sathasivam and Muraly Velavan, 2014, Hebbian Learning in Reverse Analysis Method, , Proceeding of 3rd International Conference on Computer Engineering & Mathematical Sciences (ICCEMS 2014), Malaysia,  1-5.
 
17. Saratha Sathasivam and Muraly Velavan, 2015, Developing agent based modelling for detecting mechanical failure in transformer, , International Conference on Soft Computing and Computational Mathematics, Langkawi, 1-5 .
 
18. Mamman Mammuda and Saratha Sathasivam, 2015, Using the Adaptive Neuro-Fuzzy Inference System (ANFIS) in Modeling the Survival of Diabetes,  Simpossium Kebangsaan Sains Matematik ke 23, Johor, 1-8
 
19. Mamman Mammuda and Saratha Sathasivam, 2015, Integration of fuzzy logic and neural network, , Simpossium Kebangsaan Sains Matematik ke 23, Johor, 1-7
 
20. Abdu Masanawa Sagira and Saratha Sathasivam, 2015, Self Organizing Map as a Tool for Cluster Analysis, , Simpossium Kebangsaan Sains Matematik ke 23, Johor, 1-6
 
21. Mohd Shareduwan bin Mohd Kasihmuddin and Saratha Sathasivam, 2015, Accelerating Activation Function in Higher Order Logic Programming, , Simpossium Kebangsaan Sains Matematik ke 23, Johor, 1-6
 
22. Mohd Shareduwan bin Mohd Kasihmuddin and Saratha Sathasivam, 2015, Modifying Activation Function in Neuro Symbolic Integration, , Simpossium Kebangsaan Sains MAtematik ke-23, Johor, 1-6
 
23. Mohd. Asyraf Mansor and Saratha Sathasivam, 2015, Performance Analysis of Activation Function in Higher Order Logic Programming, , Simpossium Kebangsaan Sains Matematik ke-23, Johor, 1-6
 
24. Mohd. Asyraf Mansor and Saratha Sathasivam, 2015, Activation Function Comparison in Neural-Symbolic Integration, , Simpossium Kebangsaan Sains Matematik ke 23, Johor, 1-6
 
25. Abdu Masanawa Sagir and Saratha Sathasivam, 2015, The Use of Artificial Neural Network and Multiple Linear Regression for Stock Market Forecasting, , Simpossium Kebangsaan Sains Matematik ke 23, Johor, 1-6
 
26. Augustine Pwasong and Saratha Sathasivam , 2015, On the Fusion of Regression and Neural Network Methods, , Simpossium Kebangsaan Sains Matematik, Johor, 1-6
 
27. Augustine Pwasong and Saratha Sathasivam , 2015, Forecasting Crude Oil Production using Quadratic Regression and Layer Recurrent Neural Network Models, , Simpossium Kebangsaan Sains MAtematik ke-23, Johor, 1-6
 
28. Mohd Asyraf Mansor and Saratha Sathasivam, 2016, Performance Analysis of Activation Function in Higher Order Logic Programming, , SKSM 23 AIP Proceeding, Johor, 1-6
 
Non-citation Indexed Journal
 
1. Saratha Sathasivam and Wan Abdullah, W.A.T, Flatness of the Energy Landscapes of Horn Clauses, MATEMATIKA, 2007, 23, 2, 147-156
 
2. Saratha Sathasivam and Wan Abdullah, W.A.T, Logic Learning in the Hopfield Network, Modern Applied Sciences, 2008, 2, 3, 57-62
 
3. Saratha Sathasivam, Learning Rule Performance Comparison in Hopfield Network, American Journal of Scientific Research, 2009, Issue 6, 03, 15-22
 
4. Saratha Sathasivam and Wan Abdullah, W.A.T, The Satisfiability Aspect of Logic on Little Hopfield Network, American Journal of Scientific Research, 2010, Issue 7, 08, 90-105
 
5. Saratha Sathasivam, Learning Rules Comparisons in Neuro-Symbolic Integration, International Journal of Applied Physics and Mathematics, 2011, 1, 2, 129-132
 
6. Saratha Sathasivam, Applying Different Learning Rules in Neuro Symbolic Integration , Advanced Materials Research, 2012, 433-440, 10.4028/www.scientific.net/AMR.433-440.716, 716-720

 

Journal

 
1. Saratha Sathasivam, Enhancing Logic Programming Performance in Recurrent Hopfield Network, European Journal of Scientific Research, 2009, 37, 1, 6-11
 
2. Saratha Sathasivam, Logical Content in the Recurrent Hopfield Network Without Higher Order Connections, European Journal of Scientific Research, 2009, 37, 3, 361-367
 
3. Saratha Sathasivam, Normal form Representation in Doing Logic Programming in Hopfield Network, Far East Journal of Mathematical Sciences (FJMS), 2010, 47, 2, 185-200
 
4. Saratha Sathasivam, Normal Form Representation in Doing Logic Programming in Hopfield Network, Far East Journal of Mathematical Sciences, 2010, 43, 2, 185-200
 
5. Saratha Sathasivam, Accelerating Neuro-Symbolic Integration by using Boltzmann Machine, Far East Journal of Mathematical Sciences, 2010, 43, 2, 241-251
 
6. Saratha Sathasivam, Nawaf Hamadneh and Ong Hong Choon, Comparing Neural Networks:Hopfield Network and RBF Network, Applied Mathematical Sciences, 2011, 5, 69, 3439-3452
 
7. Saratha Sathasivam, Boltzmann Machine and New Activation Function Comparison, Applied MAthematical Sciences, 2011, 5, 78, 3853-3860
 
8. Nawaf Hamadneh, Saratha Sathasivam and Ong Hong Choon, Higher Order Logic Programming in Radial Basis Function Neural Network, Applied Mathematical Sciences, 2012, 6, 3, 115-127
 
9. Saratha Sathasivam, Applying Knowledge Reasoning Techniques In Neural Networks, Australian Journal of Basic and Applied Sciences, 2012, 6, 2, 53-56
 
10. Saratha Sathasivam, First Order Logic in Neuro-Symbolic Integration, Far East Journal of Mathematical Sciences, 2012, 61, 2, 213-229
 
11. Saratha Sathasivam, Performance Comparison Between Pseudo Inverse Rule and Sign Constraint Method, Far East Hournal of Mathematical Sciences, 2012, 62, 1, 51-59
 
12. Nawaf Hamadneh,Saratha Sathasivam, Surafel Luleseged Tilahun, Ong Hong Choon, Learning Logic Programming in Radial Basis Function Network via Genetic Algorithm, Journal of Applied Sciences, 2012, 12, 9, 840-847
 
13. Saratha Sathasivam, Applying Fuzzy Logic in Neuro Symbolic Integration, World Applied Science Journal, 2012, 17, Special Issue of Applied Math, 79-86
 
14. Saratha Sathasivam and Ng Pei Fen, Developing Agent Based Modeling for Doing Logic Programming in Hopfield Network, Applied Mathematical Sciences, 2013, 7, 1, 23-35
 
15. Saratha Sathasivam, Ng Pei Fen and Nawaf Hamadneh, Developing Agent Based Modeling for Reverse Analysis Method, Research Journal of Applied Sciences, Engineering and Technology, 2013, 6, 22, 4281-4288
 
16. Nawaf Hamadneh; Surafel Luleseged Tilahun; Saratha Sathasivam; Ong Hong Choon, Prey-Predator Algorithm as a new optimization technique using in radial basis function neural networks, Research Journal of Applied Sciences, 2013, 8, 5, 383-387
 
17. Saratha Sathasivam, Ng Pei Fen, Assimilating Boltzmann Machine and Reverse Analysis Method, Mathematical Sciences International Research Journal, 2013, 2, , 312-319
 
18. Saratha Sathasivam, Ng Pei Fen and Muraly Velavan, Reverse Analysis in Higher Order Hopfield Network for Higher Order Horn Clauses, Applied Mathematical Sciences, 2013,13 , 601-612
 
19. Saratha Sathasivam and Abdu Masanawa Sagir, Comparative Study of Euclidean and City Block Distances in Fuzzy C-Means Clustering ALgorithm, International Journal of Computational and Electronics Aspects in Engineering (IJCEAE), 2014, 1, 1, 10-12
 
20. Mamman Mamuda and Saratha Sathasivam, Comapring Logic Programming in Radial Basis Function Neural Network (RBFNN) and Hopfield Neural Network, International Journal of Computational and Electronics Aspects in Engineering (IJCEAE), 2014, 1, 1, 13-19
 
21. Saratha Sathasivam and Abdu Masanawa Sagir, An Overview of Hopfield Network and Boltzmann Machine, International Journal of Computational and Electronics Aspects in Engineering (IJCEAE), 2014, 1, 1, 20 -26
 
22. Saratha Sathasivam, Acceleration Technique for Neuro Symbolic Integration, Applied Mathematical Sciences, 2015, 9, 9-12, 409-418
 
23. MuralyVelavan, ZainorRidzuan bin Yahya, Mohamad Nazri bin Abdul Halif and Saratha Sathasivam , Boltzmann Machine and and hyperbolic activation function in higher order neuro symbolic integration, International Journal of Computational and Electronics Aspects in Engineering (IJCEAE), 2015, 1, 2, 10-14
 
24. Pwasong A. Davou and Saratha Sathasivam , Statistical Neural Networks in the Classification of Alcoholic Liver Disease and Nonalcoholic Fatty Liver Disease, International Journal of Computational and Electronics Aspects in Engineering (IJCEAE), 2015, 1, 2, 5-9
 
25. Augustine D. Pwasong and Saratha Sathasivam , Forecasting Performance of Random Walk with Drift and Feed Forward Neural Network Models, I.J. Intelligent Systems and Applications, 2015, 9, 49-56
 
26. Augustine Pwasong and Saratha Sathasivam , A New Hybrid Quadratic Regression and Cascade Forward Backpropagation Neural Network, Neuro computing, 2015, 351-378.
 
27. Abdu Masanawa Sagir and Saratha Sathasivam, The Self Organizing Map as a Tool for Cluster Analysis, Pertanika, 2016, in press.
 
28. Mohd Shareduwan Mohd Kasihmuddin,Mohd Asyraf Mansor and Saratha Sathasivam, Hybrid Genetic Algorithm In The Hopfield Network For Logic Satisfiability Problem., Pertanika Journal, 2016, 25, 1, in press.
 
29. Mohd Asyraf Mansor, Mohd Shareduwan Mohd Kasihmuddin and Saratha Sathasivam, Enhanced Hopfield Network for Pattern Satisfiabiality Problem, International Journal of Intelligent System, 2016, 11, 27-33
 
30. Mohd Shareduwan Mohd Kasihmuddin and Saratha Sathasivam, Accelerating Activation Function for 3-Satisfiability Logic Programming, International Journal of Intelligent System, 2016, 10, , 44-50
 
31. Mohd Asyraf Mansor, Mohd Shareduwan Mohd Kasihmuddin and Saratha Sathasivam, VLSI Circuit Configuration using Satisfiability Logic in Hopfield Network, IJISA, 2016, 9, 22-29
 
32. Mohd Shareduwan Mohd Kasihmuddin,Mohd Asyraf Mansor and Saratha Sathasivam, Robust Artificial Bee Colony In The Hopfield Network For 2-Satisfiability Problem, Pertanika, 2016, 25, 2, in press.
 
33. Abdu MAsanawa Sagir and Saratha Sathasivam, A Novel Adaptive Neuro Fuzzy Inference System Based Classification Models for Heart Disease Prediction, PERTANIKA, 2016, 25, in press.
 
34. Abdu Masanawa Sagir and Saratha Sathasivam, A Hybridised Intelligent Technique for the Diagnosis of Medical Diseases, PERTANIKA, 2016, in press.
 
35. Mohd Shareduwan M Kasihmuddin, Mohd Asyraf Mansor and Saratha Sathasivam, Bezier Curves Satisfiability Model in Enhanced Hopfield Network, IJISA, 2016, 8, 12, 9-17
 
36. Mohd Asyraf Mansor, Mohd Shareduwan Mohd Kasihmuddin and Saratha Sathasivam, Genetic Algorithm for Restricted MAximum k-Satisfiabiality in the Hopfield Network, IJISA, 2016, 4, , 52-60
 
37. Augustine Pwasong and Saratha Sathasivam, A new hybrid quadratic regression and cascade forward backpropagation neural network, Neurocomputing, 2016, 182, , 197-209
 
38. Tiny du Toit, Nawaf Hamadneh, Saratha Sathasivam and Waqar Khan, Automated Architecture Selection for Radial Basis Function Neural Networks, Research Journal of Applied Sciences, Engineering and Technology, 2016, 12, 11, 1146-1151
 
39. Muraly Velavan, Zainor Ridzuan bin Yahya, Mohd Nazri bin Abdul Halif and Saratha Sathasivam, Mean Field Theory in doing Logic Programming in Hopfield Network, Modern Applied Sciences, 2016, 10, 1, 154-160
 
40. Augustine Pwasong and Saratha Sathasivam, On the fusion of regression and neural network methods, Int. J. Intelligent Systems Technologies and Applications, 2016, 15, 3, 255-280
 
41. Shehab Abdulhabib Saeed Alzaeemi, Salaudeen Abdulwaheed Adebayo, Mohd Shareduwan M. Kasihmuddin, Mohd Asyraf Mansor and Saratha Sathasivam, Use of Genetic Algorithm for Hopfield Neural Network to do Logic Programming, Biio--Genetics Journal, 2017, 5, 1, 101-113
 
42. Shehab Abdulhabib Saeed Alzaeemi, Saratha Sathasivam and Salaudeen Abdulwaheed Adebayo, Analysis of Performance of Various Activation Functions for doing the logic programming in Hopfield Network, International Journal of Computational Bioinformatics and In Silico Modeling, 2017, 6, 2, 911-921
 
43. Abdu Masanawa Sagir and Saratha Sathasivam, A Hybridised Intelligent Technique for the Diagnosis of Medical Diseases, Pertanika J. Sci. & Technol., 2017, 25, 2, 425-440
 
44. Mohd. Shareduwan Mohd. Kasihmuddin*, Mohd. Asyraf Mansor and Saratha Sathasivam, Robust Artificial Bee Colony in the Hopfield Network for 2-Satisfiability Problem, Pertanika J. Sci. & Technol, 2017, 25, 2, 453-468

 

Citation Indexed Journal

 
 
1. Saratha Sathasivam, Upgrading Logic Programming in Hopfield Network, Sains Malaysiana, 2010, 39, 1, 115-118
 
2. Saratha Sathasivam, Wan Abdullah, W.A.T., Logic Mining in Neural Network:Reverse Analysis Method, Computing(Vienna/New York), 2011, 91, 2, 119-133
 
3. Nawaf Hamadneh, Waqar A. Khan, Saratha Sathasivam, Hong Choon Ong, Design Optimization of Pin Fin Geometry Using Particle Swarm Optimization Algorithm, PLOS ONE, 2013, 8, 5, 1-9
 
4. Saratha Sathasivam & Muraly Velavan , Boltzmann Machine and Hyperbolic Activation Function in Higher Order Network, Modern Applied Science, 2014, 8, 3, 140-146
 
5. Saratha Sathasivam, Acceleration Technique for Neuro Symbolic Integration, Applied Mathematical Sciences, 2014,  409-417.
 
6. Tiny du Toit, Nawaf Hamadneh, Saratha Sathsivam, Automated Architecture Selection for Radial Basis Function Neural Networks, Plos One, 2014,7, 1146-1151.
 
7. Saratha Sathasivam, Ng Pei Fen and Muraly Velavan, Reverse Analysis in Higher Order Hopfield Network for Higher Order Horn Clauses, Applied Mathematical Sciences, 2014, 8, 13, 601-612
 
8. Abdu Masanawa Sagir and Saratha Sathasivam, A Novel Adaptive Neuro Fuzzy Inference System Based Classification Model for Heart Disease Prediction, Pertanika J. Sci. & Technol, 2017, 25, 1, 43-56
 
9. Mohd Shareduwan Mohd Kasihmuddin, Mohd Asyraf Mansor and Saratha Sathasivam, Hybrid Genetic Algorithm in the Hopfield Network for Logic Satisfiability Problem, Pertanika J. Sci. & Technol., 2017, 25, 1, 139-152

 

Chapter In Research Book

 
1. Saratha Sathasivam and Muraly Velavan, Extracting Rules by Using Neuro-Symbolic Integration Approach, Mathematics and Economic Book, School of Mathematical Sciences, USM, 2010, 87-94
 
2. Saratha Sathasivam and Farah Liyana, Applying Fuzziness in Neuro Symbolic Integration, Research in Applied Mathematics, USM, 2011, 35-46

 

Report - Technical

 
1. Saratha Sathasivam, 2015, Developing Agent Based Modelling using boltzmann machine and activation function for logic programming and reverse analysis, Esains grant
 
2.

Saratha Sathasivam, 2016, Building and Developing Agent Based Modelling for Higher Order Logic in Neuro Symbolic Integration:FRGS

 

Other

Paperwork Presentation

  The Horn Landscape, Universiti Malaya, 14/5/2005- 14/5/2005, University
  Logic Mining in Neural Networks, Pusat Pengajian Sains Matematik, USM, 20/4/2007- 20/4/2007, University
  Horn Energy Landscape, Penang, 5/12/2007- 6/12/2007, National
  Logic in Recurrent Hopfield Network, Bogor, Indonesia, 5/8/2008- 7/8/2008, International
  Energy Landscapes of Program Clauses, Kelantan, Malaysia, 3/6/2008- 5/6/2008, National
  Improving Energy Relaxation in Hopfield Network, Kota Kinabalu, 13/11/2009- 15/11/2009, International
  Logic Programming in Hopfield Network By Using Relaxation Rate, Kuala Lumpur, 22/6/2009- 26/6/2009, International
  Improving Energy Relaxation in Hopfield Network by Using Augmented Lagrange Multiplier, Istanbul, Turkey, 4/8/2009- 10/8/2009, International
  Application of Neural Networks in Predictive Data Mining, Langkawi, Malaysia, 14/3/2011- 16/3/2011, International
  Knowledge Extraction in Hopfield Network, Hotel Santika Premiere, Bali, Indonesia, 1/4/2011- 3/4/2011, International
  Applying Different Learning Rules in Neuro-Symbolic Integration, JP Hotel, Chennai, India, 29/4/2011- 30/4/2011, International
  Application of Neural Networks in Predictive Data Mining, Langkawi, Malaysia, 14/3/2011- 16/3/2011, International

 

Member in Professional / Academic Association

1. International Neural Network Society, Members, 2008, International
2. Persatuan Sains Matematik Malaysia, Members, 2008, National
3. International Journal of Applied Intelligence, Members, 2009, International
4. Bulletin of Mathematical Science Society, Members, 2009, International
5. Applied Intelligence, Members, 2013, International

 

Editorial Board

1. Member, International Journal of Applied Intelligence, 2/1/2012- 31/12/2012, International
2. Panel of Reviewers, ESTEEM Academic Journal UiTM Pulau Pinang, 1/12/2011- 30/12/2011, National
3. Editorial Board Member, International Multidisciplinary Research Foundation Journals, 1/5/2014- 31/12/2014, International
4. Member, 3rd International Conference on Human Machine Interaction, 25/11/2015- 27/11/2015, International
5. Member, 2nd International Conference on Crytography and Security, 25/11/2015- 27/11/2015, International
6. Member, Association of Scientists, Developers and Faculties Inetrnational, 8/10/2015- 7/10/2016, International
7. Member, Mayfeb Journal of Engineering, 3/4/2016- 3/4/2016, International
8. Committee Member, 4th International Conference on the Developments in Renewable Energy Technology, 1/1/2016- 9/1/2016, International
9. Reviewer Team Members, Advances in Science, Technology and Engineering Systems Journals, 25/4/2017- 25/4/2018, International

Invited Speaker

1. Applications of Neural Network, Math Day Out, Universiti Sains Malaysia, 2015, University
2.

Neural Networks, Logic and Agent Based Modelling, Seminar on Informatics in Asia 2015, Universiti Sains Malaysia, 2015, University

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