Dr. Pokkuluri Kiran Sree

Dr. Pokkuluri Kiran Sree

Professor
Shri Vishnu Engineering College for Women Autonomous, India


Highest Degree
Ph.D. in Computer Science & Engineering from Jawaharlal Nehru Technological University, Hyderabad, India

Share this Profile

Biography

Dr P Kiran Sree has obtained his B.Tech degree in Computer Science & Engineering from JNTU Hyderabad and M.E in Computer Science & Engineering from Anna University, India with distinctions. He obtained his Ph.D in Artificial Intelligence from Jawaharlal Nehru Technological University-Hyderabad. His interests include Parallel Algorithms, Artificial Intelligence, and Bioinformatics. His bibliography was listed in Marquis Whos Who in the World, 28 Edition (2012), U.S.A. He is the recipient of Bharat Excellence Award from Dr GV Krishna Murthy, Former Election Commissioner of India in 2013. He worked as Principal I/C of the N.B.K.R. Institute of Science & Technology, the second oldest private engineering college of the state for two years. He is editor in chief of international journal of Parallel and Cloud Computing Research (PCCR). He has published 52 research papers in international journals and conferences. He is recognized supervisor in the stream of Artificial Intelligence for guiding Ph.D scholars at VIT and KL universities. Dr. Sree has received Active Reviewer Award from International Journal of Information Technology (SCI Indexed) thrice for the years 2010, 2011 and 2012. He is serving in editorial board of many international journals. He is also reviewer of 10 international journals and 45 international conferences.

Area of Interest:

Computer Sciences
100%
Engineering
62%
Artificial Intelligence
90%
Bioinformatics
75%
Network
55%

Selected Publications

  1. Srilatha, K. and P.K. Sree, 2015. Identifying user search behavior with effective segmentation and encryption. Int. J. Scient. Eng. Technol. Res., 4: 10440-10444.
    Direct Link  |  
  2. Bhavani, M.H. and P.K. Sree, 2015. Cellular automata index based construction for shortest path computation. Int. J. Adv. Technol. Innovat. Res., 7: 3482-3487.
    Direct Link  |  
  3. Sree, P.K., I.R. Babu and S.S.S.N.U. Devi, 2014. HMACA: Towards proposing a cellular automata based tool for protein coding, promoter region identification and protein structure prediction. Int. J. Res. Comput. Applic. Inform. Technol., 1: 26-31.
    Direct Link  |  
  4. Sree, P.K., I.R. Babu and S.S.S.N.U. Devi, 2014. Cellular automata and its applications in bioinformatics: A review. Global Perspect. Artif. Intelli., 2: 16-22.
    Direct Link  |  
  5. Sree, P.K., I.R. Babu and S.S.S.N.U. Devi, 2014. AIS-MACA-Z: MACA based clonal classifier for splicing site, protein coding and promoter region identification in Eukaryotes. J. Artif. Intelli. Res. Adv., Vol. 1. .
    Direct Link  |  
  6. Sree, P.K., I.R. Babu and S.S.S.N.U. Devi, 2014. A fast multiple attractor cellular automata with modified clonal classifier for splicing site prediction in human genome. J. Bioinformat. Intelli. Control, 3: 128-133.
    Direct Link  |  
  7. Sree, P.K. and I.R. Babu, 2014. Improving quality of clustering using cellular automata for information retrieval. J. Comput. Sci., 4: 167-171.
    Direct Link  |  
  8. Sree, P.K. and I.R. Babu, 2014. Identification of protein coding regions in genomic DNA using unsupervised FMACA based pattern classifier. Int. J. Comput. Sci. Network Security, 8: 305-310.
    Direct Link  |  
  9. Sree, P.K. and I.R. Babu, 2014. Clonal-based cellular automata in bioinformatics. J. Adv. Res. Applied Artif. Intelli. Neural Network, Vol. 1. .
    Direct Link  |  
  10. Sree, P.K. and I.R. Babu, 2014. An extensive repot on the efficiency of AIS-INMACA (A novel integrated MACA based clonal classifier for protein coding and promoter region prediction). Rev. Bioinform. Biometr., Vol. 3. .
    Direct Link  |  
  11. Sree, P.K. and I.R. Babu, 2014. AIS-INMACA: A novel integrated MACA based clonal classifier for protein coding and promoter region prediction. J. Bioinformat. Comparat. Genomic, Vol. 1. .
    Direct Link  |  
  12. Pokkuluri, K.S., R.B. Inampudi and D.N. Usha, 2014. IN-MACA-MCC: Integrated multiple attractor cellular automata with modified clonal classifier for human protein coding and promoter prediction. Adv. Bioinfor., Vol. 2014. .
    Direct Link  |  
  13. Sree, P.K., I.R. Babu and S.S.S.N.U. Devi, 2013. FELFCNCA: Fast and efficient log file compression using non linear cellular automata classifier. Int. J. Commun., Vol. 1. .
    Direct Link  |  
  14. Sree, P.K., I.R. Babu and S.S.S.N.U. Devi, 2013. CAVDM: Cellular automata based video cloud mining framework for information retrieval. Parallel Comput. Cloud Comput. Res., Vol. 1. .
    Direct Link  |  
  15. Sree, P.K., I.R. Babu and N.U. Devi, 2013. PSMACA: An automated protein structure prediction using MACA (Multiple Attractor Cellular Automata). J. Bioinfor. Intelli. Control, 2: 211-215.
    Direct Link  |  
  16. Sree, P.K., G.V.S. Raju, S.V. Raju, N.S.S.S.N.U. Devi, 2013. Cellular automata based feedback mechanism in strengthening biological sequence analysis approach to robotic soccer. Artif. Intelli. Mach. Learn. J., 8: 29-37.
    Direct Link  |  
  17. Sree, P.K. and N.U. Devi, 2013. Achieving efficient file compression with linear cellular automata pattern classifier. Int. J. Hybrid Inform. Technol., 6: 15-26.
    Direct Link  |  
  18. Sree, P.K. and I.R. Babu, 2013. Power-Aware Hybrid Intrusion Detection System (PHIDS) using cellular automata in wireless adhoc networks. WSEAS Trans. Comput., Vol. 7. .
    Direct Link  |  
  19. Sree, P.K. and I.R. Babu, 2013. Multiple attractor cellular automata (MACA) for addressing major problems. Bioinfor. Rev. Bioinfor. Biomet., 2: 442-448.
  20. Sree, P.K. and I.R. Babu, 2013. Face detection from still and video images using unsupervised cellular automata with k means clustering algorithm. Comput. Vision Pattern Recog., Vol. 8. .
    Direct Link  |  
  21. Raju, P.Y. and PK. Sree, 2013. A language independent web data extraction using vision based page segmentation algorithm. Int. J. Res. Eng. Technol., 2: 635-639.
    Direct Link  |  
  22. Pokkuluri, K.S., R.B. Inampudi and D.N. Usha, 2013. An extensive report on cellular automata based artificial immune system for strengthening automated protein prediction. Adv. Biomed. Eng. Res., Vol. 1. .
    Direct Link  |  
  23. Sree, P.K. and I.R. Babu, 2012. FELFCNCA: Fast and efficient log file compression using non linear cellular automata classifier. Int. J. Res. Sci. Adv. Technol., Vol. 1. .
    Direct Link  |  
  24. Sree, P.K. and I.L. Pradeepa, 2012. TCAAT: Ticket based security architecture strengthened with cellular automata for achieving anonymity and traceability in wireless mess network. Int. J. Eng. Res. Technol., Vol. 1. .
    Direct Link  |  
  25. Sree, P.K. and I.R. Babu, 2011. Non linear cellular automata in predicting heart attack. Int. J. Hybrid Inform. Technol., 4: 33-40.
    Direct Link  |  
  26. Pokkuluri, K.S., 2011. An efficient parallel IP lookup technique for IPv6 routers using multiple hashing with ternary marker storage. Afr. J. Inform. Commun. Technol., Vol. 6. .
    Direct Link  |  
  27. Sree, K. and R. Babu, 2010. Identification of promoter region in genomic DNA using cellular automata based text clustering. Int. Arab J. Inf. Technol., 7: 75-78.
  28. Sree, P.K., I.R. Babu and N.S.S.S.N.U. Devi, 2009. Investigating an artificial immune system to strengthen protein structure prediction and protein coding region identification using the cellular automata classifier. Int. J. Bioinfor. Res. Applic., 5: 647-662.
    Direct Link  |  
  29. Sree, P.K., G.V.S. Raju, S.V. Raju and N.U. Devi, 2008. NTCA: A novel text clustering algorithm build on cellular automata based local search and K-means algorithm for identifying the protein coding regions in genomic DNA. Res. J. Biotechnol., 3: 38-45.
  30. Sree, P.K., 2008. Non linear cellular automata in improving the quality of clustering for medical image processing. J. Comput. Sci., 2: 795-803.
  31. Sree, P.K., 2008. NPCRIT: A novel protein coding region identifying tool using decision tree classifier with trust-region method and parallel scan algorithm. Int. J. Biotechnol. Biochem., 4: 63-74.
  32. Sree, P.K., 2008. Improving quality of clustering using cellular automata for gif image search. GITAM J. Inform. Commun. Technol., 1: 88-92.
  33. Sree, P.K., 2008. Exploring a novel approach for providing software security using soft computing systems. Int. J. Security Applic., 2: 51-58.
  34. Sree, P.K. and D.I.R. Babu, 2008. A novel protein coding region identifying tool using cellular automata classifier with trust-region method and parallel scan algorithm (NPCRITCACA). Int. J. Biotechnol. Biochem., 4: 177-189.