Dr. N. Venkateswara Rao

Designation: Professor
Research Interests: Artificial Intelligence
2017 Ph.D(CSE), ANU, Guntur, Andhra Pradesh, India.
2002 - 2004 M. Tech, AU, Vizag, Andhra Pradesh, India.
Date of Birth: 25-04-1978
Date of Joining: 11-04-2005
(as on 17-06-2021)

vidwan icon SCOPUS icon publons icon
Subjects handled:
    Artificial Intelligence, Automata Theory & Formal Languages, Compiler Design, Web Technologies, Computer Vision, Computer Graphics, Advanced Java Programming, Data Engineering, Web Services, Open Source Systems, Embedded Systems, Machine Learning, Design and Analysis of Algorithms.
Member of Committees/Bodies:
  • Member of Board of Studies, Department of CSE, RVR&JCCE
  • Member of ISO Committee, Department of CSE, RVR&JCCE
  • Member of Training & Placement Cell during 2014-15 to 2018-19, RVR&JCCE
  • Member of APSSDC, Department of CSE, RVR&JCCE
Any other distinctions:
  • Received letter of appreciation for acting as a discussion forum moderator for the course FDP101x: Foundation Program in ICT for education conducted by IIT BombayX during September 13 to October 21, 2018.
  • Received letter of appreciation for acting as a discussion forum moderator for the course FDP201x: Pedagogy for Online and Blended Teaching-Learning Process conducted by IIT BombayX during October 30, 2018 to January 6, 2019.
STTPS/ Workshops/Exhibitions organized
  • organized IIT Bombay FDP on use of ICT tools.
Research Journals
  • N.Venkateswara Rao, Kandepu Bhanu Sree , "AOW-ELM Algorithm for Finding the Harmfulness of Skewed Data Distribution related to Multiple Factors" Internal Journal of Research , Vol-3, Issue-VI, Jun 2019.(SCOPUS Indexed)
  • N.Venkateswara Rao, Dr.B.Raveendra Babu, "A Probabilistic Neural Network to Recognize Handwritten Digits using Boundary Descriptor Properties" the International Journal of Latest Trends in Engineering and Technology(IJLTET), Vol.6, No.3, pp.615-619, ISSN: 2278-621X, Jan 2016.
  • N.Venkateswara Rao, Dr.B.Raveendra Babu, "Segmentation and Recognition of Handwritten Digit Numeral String Using A Multi Layer Perceptron Neural Networks" the International Journal in Foundations of Computer Science & Technology (IJFCST), Vol.6, No.1, pp.49-55, Jan 2016.
  • N.Venkateswara Rao, Dr. B.Raveedra Babu, "Combined Histogram Chain code Feature Extraction Method to recognize Hand written digits with probabilistic Neural Network", International Journal of Applied Engineering Research (IJAER), pp 4585-4589, Vol 9, No. 20, Dec 2014, ISSN 0973-4562.
  • N.Venkateswara Rao,S.Ramesh Babu, " An Approach for Blocking Misbehaving Users in Networks", International Journal of Advances in Soft Computing Technology,vol 3,Issue 2,July-Dec 2013.
  • N.Venkateswara Rao,G.RamaMohan Babu,N.Nikhila,R.Spoorthy, "Shape classification with statistical classifiers using morphological shape representation features", International Journal of Advanced Research in Computer Science and Software Engineering(IJARCSSE),pp.1614-1619,Vol 3,Issue 1,November 2013.
  • N.Venkateswara Rao,B.Raveendra Babu, A.Sri Krishna Rao ,G.Rama Mohan Babu "Object Recognition using Disk based Morphological Shape Decomposition Features", International Journal of Computer Applications(IJCA) , Vol 7,Issue 2,July 2013.
  • N.Venkateswara Rao,G.Rama Mohan Babu, Dr.B.Raveendra Babu, Dr.A.Srikrishna, "Shape Matching and Recognition using Hybrid Features from Skeleton and Boundary", International Journal of Computers and Technology, Vol 7,No 2, June 2013.
  • N.Venkateswara Rao,M.Vineela, "Video Streaming With Dynamic Bayesian Networks", International Journal of Computer Science and Information Technologies vol 4,Issue 3, May-June 2013.
  • N.Venkateswara Rao, Dr. A. Srikrishna, Dr. B. RaveendraBabu, G.Rama Mohan Babu,  “ An efficient feature extraction and classification of hand written digits using neural networks”, International Journal on computer science,engineering and applications(IJCSEA), Vol. 1,No.5,October 2011.
  • Combined Histogram Chain code Feature Extraction Method to recognize Hand written digits with probabilistic Neural Network"presented by N.Venkateswara Rao, An International Conference on Pattern Recognition and Multimedia Signal Processing by Department of Computer Science & Engineering, Annamalai University on 9th & 10th January 2015.
  • N.Venkateswara Rao "A radial basis functional Neural Network to recognize handwritten numerals wih normalized moment features from skeletons ",3 International Conference on Recent Trends in Information Technology(ICRTIT-2013)25-27 July, 2013.
STTPS/FDPS Attended.

Certification Courses Done
  • CS213.3x: Algorithms has successfully completed and received A grade in study offered by IITBombayX, an online learning initiative of Indian Institute of Technology Bombay, during 13 September - 04 November 2016.
Expert Lectures Delivered
  • Delivered a guest lecture on "Computational Physics-Image processing methods" at SRR & CVR Govt. Degree College, Vijayawada, conducted a workshop on 24th February 2016.
  • Delivered a guest lecture on "Image Processing with MATLAB" at SSN College of Engineering, Ongole, conducted a workshop on 10th February 2018.
Details of Funded Projects
  • Fund sanctioned for internal research project on "A Deep Convolution Neural Network model for Recognition of Handwritten Digits using Skeleton Shape Features".

Contact Details:
EMail: nvr@rvrjc.ac.in(O) vnaramala@gmail.com (P)
Phones: +91 80190 14149.