Venkateswara Rao Kagita Assistant Professor Department of Computer Science & Engineering

Dr. Venkateswara Rao Kagita is an Assistant Professor in the Computer Science Engineering Department in Mahindra École Centrale College of Engineering. Venkateswara Rao did his Ph.D. in Computer Science from University of Hyderabad. 

He was a Software Engineer at One Convergence Devices Pvt. Ltd., Hyderabad prior to joining MEC. He also worked as Assistant Professor in Gudlavalleru Engineering College and Sphoorthy Engineering College. 

  • Education
    • 2014 – 2017 - Ph.D., University of Hyderabad, Hyderabad.
    • 2011 – 2013 - M.Tech, University of Hyderabad, Hyderabad. Masters in Computer Science
    • 2005 – 2009 - B.Tech, Gudlavalleru Engg College, JNTUK, Gudlavalleru.  - Graduate in Computer Science and Engineering
    • 2003 – 2005 - Intermediate, A.G & S.G’s College, Vuyyuru - M.P.C
    • 2002 – 2003 - S.S.C, Z.P.H. School, Kapileswara Puram.
  • Awards
    • 2015 UGC-NF-OBC JRF, Awarded with junior research fellowship(1 of 300 fellowships nationwide.), UGC.
    • 2014 NET-Lectureship, Qualified for lectureship in a National Eligibility Test, UGC.
    • 2013 Top 2 in academics, M.Tech(CS), University of Hyderabad, Hyderabad.
    • 2009 Project leader, Gudlavalleru Engg College, Gudlavalleru.
    • 2008 Second prize in the paper presentation, Gudlavalleru Engg College, Gudlavalleru.
    • 2007 Second prize in C-Puzzles, Gudlavalleru Engg College, Gudlavalleru.
    • 2003 Best out going student, Z.P.H. School, Kapileswara Puram.
  • Publications
    1. Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan: Virtual user approach for group recommender systems using precedence relations. Inf. Sci. 294: 15-30 (2015).
    2. Arun K. Pujari, Venkateswara Rao Kagita, Anubhuti Garg, Vineet Padmanabhan: Efficient computation for probabilistic skyline over uncertain preferences. Inf. Sci. 324: 146-162 (2015).
    3. Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Sandeep Kumar Sahu, Vikas Kumar: Conformal Recommender Systems. Accepted for Inf. Sci. Journal.
    4. Venkateswara Rao Kagita, Arun K Pujari, Vineet Padmanabhan, Bounds on Skyline Probability for Databases with Uncertain Preferences. Journal of Approximate Reasoning 80: 199-213 (2017).
    5. Vikas Kumar, Arun K Pujari, Sandeep Kumar Sahu, Venkateswara Rao Kagita, and Vineet Padmanabhan: Proximal Maximum Margin Matrix Factorization for Collaborative Filtering. Pattern Recognition Letters Journal (2016).
    6. Vikas Kumar, Arun K Pujari, S K Sahu, Venkateswara Rao Kagita, and Vineet Padmanabhan: Collaborative Filtering Using Multiple Binary MMMFs. Inf. Sci. 380: 1-11 (2017).
    7. S K Sahu, Arun K. Pujari, Venkateswara Rao Kagita, Vikas K, Vineet Padmanabhan: Binarization by Greedy Partitioning for Multiclass Heirarchical SVM. Submitted to Neuro Computing Journal.
    8. Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Vikas K, Sandeep Kumar Sahu: Threshold-Based Direct Computation of Skyline Objects for Database with Uncertain Preferences. PRICAI 2016: 193-205.
    9. Venkateswara Rao Kagita, Arun K Pujari and Vineet Padmanabhan: Justified Group Recommender Systems. Accepted for ICACIE 2016. 
    10. Arun K. Pujari, Venkateswara Rao Kagita, Anubhuti Garg, Vineet Padmanabhan: Bi-directional Search for Skyline Probability. CALDAM 2015: 250-261.
    11. Venkateswara Rao Kagita, Krishna Charan Meka, Vineet Padmanabhan: A Novel Social-Choice Strategy for Group Modeling in Recommender Systems. ICIT 2015: 153-158.
    12. Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan: Group Recommender Systems: A Virtual User Approach Based on Precedence Mining. Australasian Conference on Artificial Intelligence 2013: 434-440.
    13. Venkateswara Rao Kagita, Vineet Padmanabhan, Arun K. Pujari: Precedence Mining in Group Recommender Systems. PReMI 2013: 701-707.
    14. Sowmini Devi V., Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan: Collaborative filtering by PSO-based MMMF. SMC 2014: 569-574.
    15. Sandeep Kumar Sahu, Arun K. Pujari, Venkateswara Rao Kagita, Vikas Kumar, Vineet Padmanabhan: GP-SVM: Tree Structured Multiclass SVM with Greedy Partitioning. ICIT 2015: 142-147.
    16. T.V.R.Himabindu, Vineet Padmanabhan, Venkateswara Rao Kagita, Arun K. Pujari: Recommender system algorithms: A comparative analysis based on monotonicity. ICAPR 2015: 1-6.
    17. Sandeep Kumar Sahu, Arun K Pujari, Vikas Kumar, Venkateswara Rao Kagita, and Vineet Padmanabhan: Greedy Partitioning based Tree Structured Multiclass SVM for Odia OCR. NCVPRIPG 2015: 1-4.
    18. Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar, Sandeep Kumar Sahu: Committee Selection with Attribute Level Preferences. Submitted to IJCAI 2017 .
    19. Vikas Kumar, Arun K. Pujari, Vineet Padmanabhan, Venkateswara Rao Kagita, Sandeep Kumar Sahu: Multi-Label Classification Using Hierarchical Embedding. Submitted to IJCAI 2017.
  • Experience
    • 2013 – 2014 Software Engineer, One Convergence Devices Pvt. Ltd., Hyderabad.
    • 2010 – 2011 Asst. Professor, Gudlavalleru Engg College, Gudlavalleru.
    • 2009 – 2010 Asst. Professor, Sphoorthy Engg College, Hyderabad.