Dr. Sreenivasarao  Vuda

Dr. Sreenivasarao Vuda

Professor
University of Hyderabad, India


Highest Degree
Ph.D. in Computer Science and Engineering from Singhania University, India

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Biography

Dr. Vuda Sreenivasarao received his PhD degree in 2010 in Computer Science and Engineering at Singhania University, Rajasthan, India. Dr. Vuda is currently working as Principal of Engineering Science & Technology at Computer Science and Engineering Department, St. Marys Integrated Campus, Hyderabad, India. His research topic includes network security, data mining and neural networks. His prior work experience includes Associate Professor and Professor in different institutions. He have more than 15 years teaching experience. He published articles in international journals (41), national journals (3), international conferences (4), national conferences (1) and books (2). He is serving as editor-in-chief/ associate editor/chief editorial board member/ editorial board member/ reviewer for more than 30 international journals. He also attended many conferences/workshops and seminars. He is member of number of associations and research groups. He was also awarded as “Distinguished Author” in recognition of valuable contribution towards research article titled “A data mining approach for cluster based classification for fuzzy C-means algorithms” in International journal of advances in science and technology, 2010.

Area of Interest:

Computer Sciences
100%
Data Mining
62%
Network Security
90%
Artificial Intelligence
75%
Fuzzy Logic
55%

Selected Publications

  1. Sreenivasarao, V. and G. Yohannes, 2012. Improving academic performance of students of defence university based on data warehousing and data mining. Global J. Comput. Sci. Technol., 12: 29-36.
  2. Subhashini, T., K. Sreedevi, G. Ramaswamy and V. Sreenivasarao, 2011. Implementation and analysis of RSA on GSM network. Int. J. Comput. Infor. Syst., 2: 85-93.
  3. Subbareddy, V., P.K. Sreedevi, T. Subhashini and V. Sreenivasarao, 2011. Sophisticated data mining techniques for analysis and interpretation of data. Int. J. Adv. Sci. Technol., 2: 70-78.
  4. Sreenivasarao, V., 2011. A novel apporch of intrusion detection and prevention for fingerprints. Int. J. Comput. Sci. Technol., 1: 154-160.
  5. Sreenivasarao, V. and V.S. Palamreddy, 2011. Advanced data warehousing techniques for analysis, interpretation and decision support of scientific data. Proceedings of the The 1st International Conference on Advances in Computing and Information Technology, July 15-17, 2011, India -.
  6. Ramaswamy, G., V. Sreenivasarao, P.R. Babu and P.V.S.S. Gangadhar, 2011. A classification of arial data based on data mining clustering algorithm. Global J. Comput. Sci. Technol., 11: 77-81.
  7. Subbareddy, P.V. and V. Sreenivasarao, 2010. The result oriented process for students based on distributed data mining. Int. J. Adv. Comput. Sci. Applic., 1: 22-25.
  8. Srinivasu, R., G.S. Reddy, V. Sreenivasarao and S.R. Rikkula, 2010. The contributions of TQM and six sigma in the organizations to achieve the success in terms of quality. Int. J. Comput. Applic., 4: 8-19.
  9. Sreenivasarao, V., R. Srinivasu, G. Ramswamy, N.R. Dasari and S. Vidyavathi, 2010. The research of distributed data mining knowledge discovery based on extension sets. Int. J. Comput. Applic., 8: 12-17.
  10. Sreenivasarao, V., M.V. Raghavendra, G. Ramaswamy and S. Vidyavathi, 2010. Adata mining approach for cluster based classification for fuzzy c-means algorithms. Int. J. Adv. Sci. Technol., 1: 32-41.
  11. Sreenivasarao, V., K.U. Rao, A. Vasanthi and M.V. Raghavendra, 2010. Secured group communication in adhoc networks for sensitive applications. Int. J. Electron. Eng. Res., 2: 537-542.
  12. Sreenivasarao, V., 2010. The comparative study and performance of HCM and MFPCM algorithms on Iris data set Int. J. Comput. Sci. Emerging Technol., 1: 278-282.
  13. Sreenivasarao, V., 2010. Multi agent-based distributed data mining: An over view. Int. J. Rev. Comput., 1: 83-92.
  14. Sreenivasarao, V. and S. Vidyavathi, 2010. Comparative investigations and performance analysis of FCM and MFPCM algorithms on IRIS data. India J. Comput. Sci. Eng., 1: 145-151.
  15. Sreenivasarao, V. and S. Vidyavathi, 2010. A novel approach of fuzzy set analysis in distributed data mining. Int. J. Adv. Res. Comput. Sci., 1: 57-62.
  16. Sreenivasarao, V. and S. Vidyavathi, 2010. A novel Approach of rough set analysis in distributed data mining. Int. J. Eng. Sci. Technol., 2: 1758-1766.
  17. Sreeninvasarao, V., S. Vidyavathi, G. Ramaswamy and S.K.S. Habbeer, 2010. A research on result oriented learning process fro university students based on distributed data mining and decision tree algorithm. J. Adv. Res. Comput. Eng., 4: 223-226.
  18. Rao, V.S. and S. Vidyavathi, 2010. Distributed data mining and mining multi-agent data. Int. J. Comput. Sci. Eng., 2: 1237-1244.
  19. Ramaswamy, G., V. Sreenivasarao, P. Ramesh and D. Ravikiran, 2010. A novel approach to human identification through finger prints. A novel approach to human identification through finger prints. Int. J. Comput. Applic., 4: 35-42.
  20. Ramaswamy, G. and V. Sreenivasarao, 2010. A novel approach of cryptography and water marking using to protect GIS data. J. Theoretical Applied Infor. Technol., 16: 116-128.
  21. Raghavendra, M.V., V.S. Rao, P.L.H.V. Prasad and S. Vidyavathi 2010. A novel approach of artificial intelligence in cognetive radio communication. Int. J. Artif. Intell. Comput. Res., 2: 9-16.
  22. Raghavendra, M.V., V. Sreenivasarao and P.L.V. Prasad, 2010. Direct detection coded OFDM in fiber-optic communication systems. Int. J. Adv. Sci. Technol., 1: 31-38.
  23. Raghavendra, M.V. and V. Sreenivasarao, 2010. Fiber optics based parallel computer architecture. Int. J. Sci. Eng. Res., 1: 1-10.
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  24. Dasari, N.R. and V. Sreenivasarao, 2010. Performance of multi server athentication and key agreement with user protection in network security. Int. J. Comput. Sci. Eng., 2: 1705-1712.