Dr. Ezhilmaran Devarasan
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Dr. Ezhilmaran Devarasan

Associate Professor
VIT University, India

Highest Degree
Ph.D. in Mathematics from Alagappa University, India

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Area of Interest:

Computer Sciences
100%
Modeling and Simulation
62%
Information Technology
90%
Applied Mathematics
75%
Data Mining
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
0
Abstracts
0

Selected Publications

  1. Ezhilmaran, D. and V. Muthukumaran, 2017. Key exchange protocol based on triple decomposition problem using non-abelian near-ring structure. Int. J. Pure Appl. Math., 113: 113-121.
  2. Ezhilmaran, D. and M. Arunma, 2017. A key exchange protocol using the near-ring generated by the inner automorphism of a finite simple group. Int. J. Pure Appl. Math., 113: 113-121.
  3. Ezhilmaran, D. and M. Adhiyaman, 2017. Fingerprint matching and correlation checking using level 2 features. Int. J. Comput. Vision Rob., 7: 472-487.
  4. Sudharsan, S., K. Sankar and D. Ezhilmaran, 2016. Product of two fuzzy lattices is also a fuzzy soft lattice. Int. J. Res. Sci. Innovation, 2: 41-43.
  5. Sankar, K. and D. Ezhilmaran, 2016. Bipolar intuitionistic fuzzy graphs with Applications. Int. J. Res. Sci. Innovation, 2: 44-52.
  6. Prasanna, S. and D. Ezhilmaran, 2016. Association rule mining using enhanced apriori with modified ga for stock prediction. Int. J. Data Min. Modell. Manage., .
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  7. Muthukumaran, V. and D. Ezhilmaran, 2016. Symmetric decomposition problem in zero knowledge authentication schemes using near ring structure. Int. J. Appl. Eng. Res., 11: 36-40.
  8. Ezhilmaran, D. and V. Muthukumaran, 2016. Key exchange protocol using decomposition problem in near-ring. Gazi Univ. J. Sci., 29: 123-127.
  9. Ezhilmaran, D. and V. Muthukumaran, 2016. A review on conjugacy problems using in varies schemes of cryptography. Int. J. Pharm. Techno., 8: 3538-3553.
  10. Ezhilmaran, D. and M. Adhiyaman, 2016. Edge detection method for latedt fingerprint imgesusing intuitionistic type-2 fuzzy entropy. Cypernetics Inf. Techno., 16: 205-221.
  11. Ezhilmaran, D. and M. Adhiyaman, 2016. An application of bell shape fuzzy number for fingerprint authentication. Int. J. Appl. Eng. Res., 11: 503-507.
  12. Arunma, M. and D. Ezhilmaran, 2016. A key-agreement protocol using near polynomial rings over near ring. Int. J.Appl. Eng. Res., 11: 27-30.
  13. Sujatha, S. and D. Ezhilmaran, 2015. A new efficient sif-based fcil (sif–fcil) mining algorithm in predicting the crime locations. J. Exp. Theor. Artif. Intell., 28: 561-579.
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  14. Prasanna, S. and D. Ezhilmaran, 2015. Stock market prediction using clustering with meta-heuristic approaches. Gazi Univ. J.Sci., 28: 395-403.
  15. Krishnamoorthy, V. and D. Ezhilmaran, 2015. Some properties of intuitionistic fuzzy h-ideals extension in г-hemiring. Int. J. Math. Anal., 9: 837-846.
  16. Ezhilmaran. D. and V. Krishnamoorthy, 2015. Some striking characterizations of structural properties of intuitionistic fuzzy h-ideals in г-hemiring. Int. J. Appl. Eng. Res., 10: 17601-17614.
  17. Ezhilmaran. D. and K. Sankar, 2015. Morphism of bipolar intuitionistic fuzzy graphs. J.Discrete Math. Sci. Cryptography., 18: 605-621.
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  18. Ezhilmaran, D. and V. Muthukumaran, 2015. New public key cryptography based on quotient near ring of n-modulo. Int. J. Pharm. Techno., 6: 7754-7764.
  19. Ezhilmaran, D. and V. Muthukumaran, 2015. Near ring structure used in key exchange protocol of public key cryptosystem. Int. J. Sci. Innovative Math. Res., 3: 260-263.
  20. Ezhilmaran, D. and R.B.P. Joseph, 2015. A study on feature extraction techniques and image enhancement algorithm for finger vein recognition. Int. J. Pharm. Tech. Res., 8: 222-229.
  21. Ezhilmaran, D. and M. Adhiyaman, 2015. Contrast enhancement of fingerprint images using intuitionistic type ii fuzzy. Songklanakarin J. Sci.Tech., 37: 241-246.
  22. Adhiyaman, M. and D. Ezhilmaran, 2015. Fingerprint matching and similarity checking system using minutiae based technique. IEEE Xplore., 10.1109/ICETECH.2015.7275020.
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  23. Sujatha. R. and D. Ezhilmaran, 2014. An adaptive method for analyzing and predicting the crime locations by means of AMABC and ARM. J. Theor. Appl. Inf. Techno., 59: 45 -56.
  24. Ezhilmaran. D. and V. Krishnamoorthy, 2014. Characterization of intuitionistic fuzzy h-ideal in γ-hemiring. Global J. Pure Appl. Math., 10: 101-112.
  25. Ezhilmaran. D. and S. Sudharsan, 2014. Some new implication results on interval valued intuitionistic fuzzy sets. Int. J. Math. Arch., 5: 1-9.
  26. Ezhilmaran. D. and S. Sudharsan, 2014. Application of generalized interval valued intuitionistic fuzzy relation with fuzzy max- min composition technique in medical diagnosis. Appl. Math. Sci., 8: 7031-7038.
  27. Ezhilmaran. D. and S. Sudharsan, 2014. An interval-valued intuitionistic fuzzy weighted entropy method for selection of vendor. Int. J. Appl. Eng. Res., 9: 9075-9083.
  28. Ezhilmaran. D. and S. Sudharsan, 2014. Two new operators defined over intuitionistic fuzzy sets. Int. J. Math. Arch., 5: 1-7.
  29. Ezhilmaran. D. and S. Sudharsan, 2014. Two new operator defined over interval valued intuitionistic fuzzy sets. Int. J. Fuzzy Logic Syst., 4: 1-13.
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  30. Ezhilmaran, D. and S. Sudharsan, 2014. Some new identities connected with interval valued intuitionistic fuzzy sets. Int. J.Math. Anal., 8: 2733-2739.
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  31. Ezhilmaran, D. and M. Adhiyaman, 2014. A Review Study on Fingerprint Image Enhancement Techniques. Int. j. comp. sci. eng. Techno., 5: 625-631.
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  32. Tekriwal, D.R., D. Arkaprava and D. Ezhilmaran, 2013. Social computing: An Intelligent and responsive system. Eur. Sci. J., 9: 32-40.
  33. Sujatha, R. and D. Ezhilmaran, 2013. Evaluation of classifiers to enhance model selection. Int. J. Comp. Sci. Eng. Techno., 4: 16-21.
  34. Sujatha, R. and D. Ezhilmaran, 2013. A proposal for analysis of crime based on socio–economic impact using data mining techniques. Int. J. Soci. Appl. Comp. Sci., 2: 229-231.
  35. Prasanna, S. and D. Ezhilmaran, 2013. Estimation of true value:A hybrid mcnevien approach with predective data mining concepts. Eur. J. Sci. Res., 110: 70-79.
  36. Prasanna, S. and D. Ezhilmaran, 2013. An analysis on stock market prediction using data mining techniques. Int. J. Comp. Sci. Eng. Techno., 4: 49-51.
  37. Kumar, V., D. Harsha, D. Sakthi and D. Ezhilmaran, 2013. An efficient algorithm for finding single source shortest path problem in graph theory. Asian J. Current. Eng. Math., 2: 339-341.
  38. Anusha. K., E. Sathiyamoorthy and D. Ezhilmaran, 2013. Prevention of jamming attacks using packet hiding techniques. Int. J. Appl. Eng. Res., 8: 1667-1774.
  39. Ezhilmaran, D. and A. Dhandapani, 2012. Some properties of normal intuitionistic fuzzy bi-ideals in γ-near-rings. Asian J. Current Eng. Math., 4: 192-198.
  40. Ezhilmaran, D. and A. Dhandapani, 2012. Characterizations of intuitionistic fuzzy bi-ideals of γ-near-rings. Int. J. Algebra Stat., 1: 55-62.
  41. Palaniappan, N., P.S. Veerappan and D. Ezhilmaran, 2011. A note on characterization of intuitionistic fuzzy ideals in γ-near-rings. Int. J. Comp. Sci. Math., 3: 61-71.
  42. Palaniappan, N. and D. Ezhilmaran, 2011. On intuitionistic fuzzy maximal ideals of gamma near-rings. Int. J. Algebra, 5: 1405-1412.
  43. Palaniappan, N. and D. Ezhilmaran, 2011. On Intuitionistic Fuzzy Prime Ideal of a Gamma-Near-Rings. Adv. Algebra, 4: 41-49.
  44. Palaniappan, N. and D. Ezhilmaran, 2011. Characterizations of intuitionistic fuzzy artinian and noetherian gamma-near-rings. Int. Math. Forum, 6: 3387-3395.
  45. Palaniappan, N., P.S. Veerappan and D. Ezhilmaran, 2010. Some properties of intuitionistic fuzzy cosets in γ-near-rings. Antarctica J. Math., 7: 605-614.
  46. Palaniappan, N., P.S. Veerappan and D. Ezhilmaran, 2009. Some properties of intuitionistic fuzzy ideals in γ-near-rings. J. Indian Acad. Math., 31: 617-624.