Dr. S. Ramkumar

Associate Professor
Kalasalingam University, India

Highest Degree
Ph.D. in Human Computer Interaction from Karpagam University, India

My URL
https://livedna.org/91.17271

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Area of Interest:

Computer Sciences
Information Technology
Software Engineering
Computer Network
Security

Selected Publications

  1. Junwei, L., S. Ramkumar, G. Emayavaramban, M. Thilagaraj and V. Muneeswaran et al., 2019. Brain computer interface For neurodegenerative person using electroencephalogram. IEEE Access, 7: 2439-2452.
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  2. Fang, S., A.F. Hussein, S. Ramkumar, K.S. Dhanalakshmi and G. Emayavaramban, 2019. Prospects of electrooculography in human-computer interface based neural rehabilitation for neural repair patients. IEEE Access, 7: 25506-25515.
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  3. Ramkumar, S., X.Z. Gao, K.S. Kumar and G. Emayavaramban, 2018. Electro-oculogram based rehabilitation using bioengineering techniques for neural disorder person. J. Biomed. Imaging Bioeng., 2: 99-101.
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  4. Ramkumar, S., P. Nandhakumar and S. Kartheeswaran, 2018. Magic Book for Quantitative Aptitude and Reasoning (Master the Tricks in 10 days). 1st Edn., Bonfring Publisher, Coimbatore, India, ISBN-13: 9789387862135.

  5. Ramkumar, S., K.S. Kumar, T.D. Rajkumar, M. Ilayaraja and K. Sankar, 2018. A review-classification of electrooculogram based human computer interfaces. Biomed. Res., 29: 1078-1084.
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  6. Ramkumar, S., K.S. Kumar and P. Sumathi, 2018. JAVA for Beginners. 1st Edn., Scitech Publisher, India, ISBN-13: 9789385983580.

  7. Navamani, J.M.A., A. Kannammal and S. Ramkumar, 2018. A novel self constructing optimized-cascade classifier with an improvised Naïve bayes for analyzing examination results. Int. J. Pure Applied Math., 119: 3215-3232.
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  8. Jialu, G., S. Ramkumar, G. Emayavaramban, M. Thilagaraj, V. Muneeswaran, M.P. Rajasekaran and A.F. Hussein, 2018. Offline analysis for designing electrooculogram based human computer interface control for paralyzed patients. IEEE Access, 6: 79151-79161.
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  9. Emayavaramban, G., S. Ramkumar, A. Amudha and K.S. Kumar, 2018. Classification of hand gestures using FFNN and TDNN networks. Int. J. Pure Applied Math., 118: 27-32.
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  10. Elakkiya, A., S. Ramkumar, G. Emayavaramban and P. Buvaneswari, 2018. A survey of biometrics person identification system using EEG brain signal. Int. J. Pure Applied Math., 119: 3471-3475.
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  11. Deny, J., E. Muthukumaran, S. Ramkumar and S. Kartheesawaran, 2018. Extraction of respiratory signals and motion artifacts from PPG signal using modified multi scale principal component analysis. Int. J. Pure Applied Math., 119: 13719-13727.
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  12. Vasanthi, V., S.A.S.A. Alhammadi, S. Ramkumar and S. Kumar, 2017. Achieving security for data access control using cryptography techniques. Int. J. Scient. Res. Sci. Technol., 3: 172-182.
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  13. Ramkumar, S., K.S. Kumar and G. Emayavaramban, 2017. Nine states HCI using electrooculogram and neural networks. Int. J. Eng. Technol., 8: 3056-3064.

  14. Ramkumar, S., Barathkesavan and Hariharasubramanian, 2017. A review on classification of eye movement using electrooculography. Int. J. Adv. Res. Comput. Commun. Eng., 6: 36-40.
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  15. Ramkumar, S., 2017. Human brain. J. Brain Neurol., 1: 25-25.
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  16. Ramkumar, S. and K.S. Kumar, 2017. A hybrid approach for horizontal aggregation function using clustering. Int. J. Comput. Sci. Network, 6: 551-558.
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  17. Vidhya, V. and S. Ramkumar, 2016. A survey of techniques used to detect theselfish nodes in vanet. Int. J. Adv. Res. Manage. Architecture Technol. Eng., 2: 56-62.

  18. Sibi, V. and S. Ramkumar, 2016. Privacy reserving in multimedia big data using secure data repository system. Int. J. Adv. Res. Trends Eng. Technol., 3: 1-10.

  19. Shankar, A.M. and S. Ramkumar, 2016. Power-proficient communications in MIMO systems based on congestion control. Int. J. Adv. Res. Trends Eng. Technol., 3: 42-48.

  20. Ramkumar, S., K.S. Kumar and G. Emayavaramban, 2016. EOG signal classification using neural network for human computer interaction. Int. J. Control Theory Applic., 9: 223-231.

  21. Ramkumar, S. and K.S. Kumar, 2016. Querying unintelligible data on geospatial trajectory database. Int. J. Scient. Res. Sci. Technol., 2: 180-187.

  22. Ramkumar, S. and K.S. Kumar, 2016. A personalized scheme for incomplete and duplicate information handling in relational databases. Int. J. Eng. Sci. Res. Technol., 5: 360-369.

  23. Ramkumar, S. and G. Ganesaperumal, 2016. A feasibility study on big data integration and its methodologies for hadoop techniques using map reduce model. Int. J. Modern Trends Eng. Res., 3: 230-238.

  24. Pushpalatha, V. and S. Ramkumar, 2016. Enhanced privacy search in web and image search engine using greedy algorithm. Int. J. Adv. Res. Trends Eng. Technol., 3: 43-51.

  25. Deepa, A. and S. Ramkumar, 2016. Active resource and job allocation for power minimization in mobile cloud systems. Int. J. Adv. Res. Trends Eng. Technol., 3: 57-63.

  26. Abirami, R. and S. RamKumar, 2016. An anti-distortion routing system for video transfer in wireless networks. Int. J. Adv. Res. Trends Eng. Technol., 3: 24-32.

  27. Ramkumar, S., G. Emayavaramban and A. Elakkiya, 2014. A web usage mining framework for mining evolving user profiles in dynamic web sites. Int. J. Adv. Res. Comput. Sci. Software Eng., 4: 889-894.

  28. Ramkumar, S., A. Elakkiya and G. Emayavaramban, 2014. Data transfer model-tracking and identification of data files using clustering algorithms. Int. J. Latest Technol. Eng. Manage. Applied Sci., 3: 13-21.

  29. Karthik, R., S. Ramkumar and K. Sundaram, 2014. Data leakage identification and blocking fake agents using pattern discovery algorithm. Int. J. Innov. Res. Comput. Commun. Eng., 2: 5660-5667.

  30. Hema, C.R., S. Ramkumar and M.P. Paulraj, 2014. Idendifying eye movements using neural networks for human computer interaction. Int. J. Comput. Applic., 105: 18-26.

  31. Hema, C.R., M.P. Paulraj and S. Ramkumar, 2014. Classification of eye movements using electrooculography and neural networks. Int. J. Hum. Comput. Interact., 5: 51-63.
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  32. Elakkiya, A., S. Ramkumar and M. Suganya, 2014. A survey on different clustering algorithms and its techniques. Int. J. Innov. Scient. Res., 10: 443-445.

  33. Elakkiya, A., S. Ramkumar and G. Emayavaramban, 2014. Performance evaluation of mobile sensor network. J. Applied Eng., 2: 151-155.

  34. Ramkumar, S. and C.R. Hema, 2013. Recognition of eye movement electrooculogram signals using dynamic neural networks. Karpagam J. Comput. Sci., 7: 12-20.
Member since September, 2017