Dr. Sukumar  Senthilkumar

Dr. Sukumar Senthilkumar

Assistant Professor
Universiti Sains Malaysia, Malaysia


Highest Degree
Ph.D. in Mathematics and Computer Applications from National Institute of Technology, India

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Area of Interest:

Computer Sciences
100%
Computational Mathematics
62%
Computer Applications
90%
Digital Image Processing
75%
Numerical Analysis
55%

Selected Publications

  1. Paul, G.C. and S. Senthilkumar, 2016. Execution of novel explicit RKARMS(4,4) technique in determining initial configurations of extra-solar protoplanets formed by disk instability. NRIAG J. Astron. Geophys., 5: 1-8.
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  2. Senthilkumar, S., 2015. Validating explicit third order euler technique for reactor design and exponential growth problems. Walailak J. Sci. Technol., 12: 975-981.
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  3. Paul, G.C. and S. Senthilkumar, 2015. Exploration on initial structures of extrasolar protoplanets via new explicit RKAHeM(4,4) method. Egypt. J. Remote Sens. Space Sci., 18: 1-8.
  4. Senthilkumar, S., 2014. Employing different types of taylor like methods for image processing and initial value problems. Asia-Pac. J. Inform. Technol. Multimedia, 3: 55-63.
  5. Senthilkumar, S., 2014. A study on third order Runge-Kutta techniques for solving practical problems. Walalaik J. Sci. Technol., 11: 679-686.
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  6. Senthilkumar, S., M. Lee and T.K. Kwon, 2013. Runge-Kutta(5,5) methods for robot arm and initial value problems. Int. J. Control Automat., 6: 329-336.
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  7. Senthilkumar, S., M. Lee and G. Jeong, 2013. A modified improved Runge-Kutta fifth order five stage technique to study industrial robot arm. Int. J. Pattern Recogn. Artif. Intell., Vol. 27. 10.1142/S0218001413590040.
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  8. Senthilkumar, S. and G.C. Paul, 2012. Application of new RKAHeM(4,4) technique to analyze the structure of initial extrasolar giant protoplanets. Earth Sci. Inform., 5: 23-31.
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  9. Senthilkumar, S. and A.R. Mt Piah, 2012. Sine-cosine-Taylor-like technique for connected component detector by ICNN simulation. Int. J. Image Graphics Signal Process., 3: 28-34.
  10. Senthilkumar, S. and A.R. Mt Piah, 2012. An improved fuzzy cellular neural network (IFCNN) for an edge detection based on parallel RK(5,6) approach. Int. J. Comput. Syst. Eng., 1: 70-78.
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  11. Senthilkumar, S. and A.R. Mt Piah, 2011. Solution to a System of Second Order Robot Arm by Parallel Runge-Kutta Arithmetic Mean Algorithm. In: Robot Arms, Goto, S. (Ed.). InTech Publisher, Croatia, ISBN 978-953-307-160-2, pp: 39-50.
  12. Senthilkumar, S. and A.R. Mt Piah, 2011. Sine-cosine-taylor-like method for hole-filler CNN simulation. Int. J. Comput. Sci. Issues, 8: 117-122.
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  13. Senthilkumar, S. and A.R. Mt Piah, 2011. Parallel RKAM technique for hole-filler FCNN simulation. J. Comput. Sci. Eng., 9: 8-13.
  14. Senthilkumar, S. and A.R. Mt Piah, 2011. Hole filing IFCNN simulation by parallel RK(5,6) techniques. Int. J. Comput. Sci. Inform. Security, 9: 57-64.
  15. Senthilkumar, S. and A.R. Mt Piah, 2011. A study on parallel RKAM for raster FCNN simulation. J. Comput. Sci. Control Syst., 4: 63-68.
  16. Ponalagusamy, R. and S. Senthilkumar, 2011. Investigation on time-multiplexing cellular neural network simulation by RKAHeM(4,4) technique. Int. J. Adv. Intell. Paradigms, 3: 43-66.
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  17. Senthilkumar, S., 2010. Virtual-reality-assisted surgery using CNN paradigm and image-processing techniques. Int. J. Biomed. Eng. Technol., 4: 328-337.
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  18. Senthilkumar, S., 2010. Raster simulation using advanced fuzzy cellular non-linear network. Int. J. Autonomous Adaptive Commun. Syst., 3: 464-478.
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  19. Ponalagusamy, R. and S. Senthilkumar, 2010. Time-multiplexing CNN simulation using limiting formulas of RK(7,8). Res. J. Inf. Technol., 2: 145-160.
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  20. Ponalagusamy, R. and S. Senthilkumar, 2010. System of second order robot arm problem by an efficient numerical integration algorithm. Int. J. Comput. Mater. Sci. Surf. Eng., 3: 237-250.
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  21. Ponalagusamy, R. and S. Senthilkumar, 2009. Investigation on numerical solution for robot arm problem. J. Automation Mob. Robotics Intel. Syst., 3: 34-40.
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  22. Ponalagusamy, R. and S. Senthilkumar, 2009. A new method of embedded fourth order with four stages to study raster CNN simulation. Int. J. Autom. Comput., 6: 285-294.
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  23. Ponalagusamy, R. and S. Senthilkumar, 2009. A new fourth order embedded RKAHeM(4,4) method with error control for multilayer raster cellular neural network. Signal Image Video Process., 3: 1-11.
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  24. Senthilkumar, S., 2008. RK-starters for multistep methods on hole-filler CNN simulation. J. Theor. Applied Inform. Technol., 4: 170-177.
  25. Senthilkumar, S., 2008. Numerical solution for robot arm problem using limiting formulas of RK(7,8). J. Applied Math. Inform., 26: 793-809.
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  26. Senthilkumar, S., 2008. An efficient numerical solution for system of second order robot arm problem. Int. J. Eng. Syst. Modell. Simulation, 1: 69-78.
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  27. Senthilkumar, S., 2008. An efficient five stage fifth order embedded techniques for connected component detector with error control. Int. J. Comput. Sci. Eng. Syst., 2: 263-273.
  28. Senthilkumar, S., 2008. A new fourth order embedded RKGCeM(4,4) with error control for connected component detector. Int. J. Applied Comput., 1: 1-10.
  29. Ponalagusamy, R., R. Narayanasamy, R. Venkatesan and S. Senthilkumar, 2008. Computer aided metal flow investigation in streamlined extrusion dies. Int. J. Mater. Des., 29: 1228-1239.
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  30. Ponalagusamy, R. and S. Senthilkumar, 2008. RK starters for multistep methods on a raster CNN simulation. J. Theoretical Applied Inform. Technol., 2: 117-126.
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  31. Ponalagusamy, R. and S. Senthilkumar, 2008. Investigation on raster CNN simulation by numerical integration algorithms. J. Combinatorial Math. Combinatorial Comput., 67: 35-48.
  32. Ponalagusamy, R. and S. Senthilkumar, 2007. Cartesian robot arm problem using a novel dormand and prince technique. J. Eng., 5: 143-154.
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  33. Ponalagusamy, R. and S. Senthilkumar, 2007. An efficient numerical integration algorithm for time-multiplexing CNN simulation. IURS J. Unmanned Robotic Vehicles Intell. Syst., 1: 6-12.
  34. Ponalagusamy, R. and S. Senthilkumar, 2007. A comparison of RK-fourth orders of variety of means on multilayer raster CNN simulation. Trends Applied Sci. Res., 3: 242-252.
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  35. Ponalagusamy, R. and S. Senthilkumar, 2007. A Comparison of RK-fourth orders of Variety of Means and embedded means on multilayer raster CNN simulation. J. Theor. Applied Inform. Technol., 3: 7-14.
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  36. Ponalagusamy, R., R. Narayanasamy and S. Senthilkumar, 2006. Finite element simulation for analysis of open-die forging of sintered cylindrical billets. Int. J. Manuf. Technol. Res., 2: 31-37.