RVR & JC
College of Engineering (Autonomous)
NAAC 'A+' Grade || 5 Times NBA Accredited || ISO 9001:2015 Certified
Department of
Computer Science & Engineering
(Artificial Intelligence & Machine Learning)
Main Website

Dr. N. Venkateswara Rao, Professor

Education Qualifications: 2017, Ph.D., ANU, Guntur, Andhra Pradesh, India.
2004, M.Tech(CSE), Andhra University, Vizag, Andhra Pradesh, India
Area of Specialization: Artificial Intelligence & Machine Learning
Research Interests: Image Processing, Pattern Recogntion, and Deep Learning
Number of Papers Published: 16 (Journals: 13 & Conferences: 3)
Membership in Scientific and
Professional Societies:
Life Member in ISTE &
Member in ACM
Date of Joining: 11th April 2005
Subjects Handled: Artificial Intelligence, Machine Learning, Computer Vision, Automata Theory & Formal Languages, Compiler Design, Data Structures and Algorithms, Web Technologies, Computer Graphics, Advanced Java Programming, Programming in Python, Data Engineering, Web Services, Open Source Systems, Embedded Systems, 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

STTPS/ Workshops/Exhibitions organized

  • Organized IIT Bombay FDP on use of ICT tools.

Patents (Published: 4)

Sl. No. Patnent No. Title of Invention Details of Applicants & Inventors Remarks
1 202141054063 METHOD AND SYSTEM FOR UTILIZING ARTIFICIAL INTELLIGENCE (AI) TECHNIQUES FOR IMPLEMENTING PREDICTIVE ANALYTICS IN ARTIFICIAL INTELLIGENCE (AI) BASED SMART FARMING Dr. N. Venkateswara Rao Filed: -
Published: 10-12-2021
2 202041050678 ACDN-OBJECT DETECTION SYSTEM: AUTOMATIC OBJECT DETECTION SYSTEM WITH IMAGE CLASSIFICATION AND DEEP NEURAL NETWORKS. Dr. N. Venkateswara Rao Filed: -
Published: 04-12-2020
3 202041046120 METHOD OF ENERGY AND DEADLINE BASED SCHEDULING OF TASKS IN CLOUD COMPUTING USING GREEDY ALGORITHM Dr. M. SRIDHAR
Dr. G. RAMA MOHAN BABU
Dr. N. VENKATESWARA RAO
Dr. M. RAMESH
PRADEEP VENUTHURUMILLI
VENKATA RAJU KALLIPALLI
Filed: 22-10-2020
Published: 06-11-2020
4 201941013879 SYSTEM AND METHOD FOR PERFORMANCE EVALUATION OF STATISTICAL CLASSIFIERS FOR SHAPE RECOGNITION Dr. G. Rama Mohan Babu
Dr. P. Vidya Sagar
Dr. M. Sridhar
Dr. N. Venkateswara Rao
Filed: 05-04-2019
Published: 26-04-2019

International/National Journal Publications: (Scopus-01, Web of Science-02, UGC-)

  1. Dr. N. Venkateswara Rao, B.Anjanee Kumar, Dr. Vuda Sreenivasa Rao, Dr.Annapurna Mishra,Shaikh Abdul Hannan, Prof. Ts. Dr. Yousef A.Baker El-Ebiary, R. Manikandan, "Enhancing Diabetic Retinopathy Detection Through Machine Learning with Restricted Boltzmann Machines", International Journal of Advanced Computer Science and Applications(IJACSA), Vol.14, No.9, September 2023.(Web of Science)
  2. Dr. N. Venkateswara Rao, "Comparison of Neural Network classifiers for handwritten digit recognition with multiple feature extraction methods", GRADIVA REVIEW JOURNAL, VOL 8 Issue 10, October 2022.
  3. Dr. N. Venkateswara Rao, Chunchu Srinivasa Rao, Dr V.Sitharamulu, Dr. Jujjuri. Rama Devi, Rama Krishna Paladugu, "Big Data Image and Video Analysis Using Deep Learning", International Journal of Computer Science and Network Security, VOL 22 No.4, April 2022.(Web of Science)
  4. Dr. 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.
  5. 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.
  6. 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.
  7. 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.(Scopus)
  8. 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.
  9. 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,Nov 2013.
  10. 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,Jul 2013.
  11. 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, Jun 2013.
  12. 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.
  13. 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,Oct 2011.

Conference Publications: (Scopus: 2, IEEE: 1)

  1. Dr. N.Venkateswara Rao presented a paper on "A Convolution Neural Network model to Classify Handwritten Digits from Skeletons", at 5th International Conference on Communication and Computational Technologies (ICCCT 2023) conducted by Rajasthan Institute of Engineering and Technology during 28th & 29th January 2023.
  2. N.Venkateswara Rao presented a paper on "Combined Histogram Chain code Feature Extraction Method to recognize Hand written digits with probabilistic Neural Network", at International Conference on Pattern Recognition and Multimedia Signal Processing conducted by Department of Computer Science & Engineering, Annamalai University during 9th & 10th January 2015.
  3. N.Venkateswara Rao presented a paper on "A radial basis functional Neural Network to recognize handwritten numerals wih normalized moment features from skeletons ", at 3rd International Conference on Recent Trends in Information Technology(ICRTIT-2013) during 25-27 July, 2013.

Any other distinctions:

  • Received letter of appreciation for acting as a discussion forum moderator for the course Implementation of Data Structures conducted by IIT BombayX during January 2021 to May 2021.
  • 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.
  • 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.

FDPs / Workshops / Seminars Attended

  • Attended a Webinar on "Integration of NAAC standard with ISO 21001" organized by ISDE Academy INDIA PRIVATE LIMITED, Chennai on 25-08-2023.
  • Participated and contributed to the "World Environment Day 2023" organized by Institute for Environment Conservation and Advocacy, Hyderabad in June 2023.
  • Attended a program on "Women Professional meet up 2022 - Face Challenges of Future Technologies" organized by R. V. R & J.C College of Engineering, Guntur in association with IEEE Hyderabad Sectionon on 23-12-2022.
  • Attended One Week National Level Online Faculty Development Program on "Recent Trends in Artificial Intelligence and Cyber Security" organized by Shri Vishnu Engineering College for Women (A), Bhimavaram during 01-05 November 2022.
  • Attended One Week Faculty Development Program on "Amazon Web Services" organized by GMR INSTITUTE OF TECHNOLOGY, RAJAM in collaboration with BRAINOVISION SOLUTIONS INDIA PVT.LTD, CSI & ALL INDIA COUNCIL FOR TECHNICAL EDUCATION - AICTE during 22nd August 2022 to 27th August 2022.
  • Attended One week online Faculty Development Program on "Emerging Trends in Artificial Intelligence" organized by Bhimavaram Institute of Engineering and Technology, Bhimavaram in association with Blackbuck engineers, during 25-05-2022 to 31-05-2022.
  • Attended Two-Day National Webinar on "Data Science and Its Applications" organized by Department of Computer Science & Applications, GDC, Chebrole and SKBR GDC, Macherla, during 25-03-2022 to 26-03-2022.
  • Completed AICTE-ISTE Programme on "Blockchain & Distributed Ledger" organized by Anil Neerukonda Institute of Technology & Sciences (Autonomous), Sangivalasa, Visakhapatnam, Andhra Pradesh, held during 18-12-2021 to 24-12-2021.
  • Attended One week National level Intercollegiate Online Faculty Development Program on "Outcome Based Education & Bloom`s Taxonomy" organized by Ramakrishna Mission Vivekananda Centenary College (Autonomous), Kolkata, during 08-11-2021 to 15-11-2021.
  • Attended one Week HANDS-ON Faculty Development Program on Artificial Intelligence using Python organised by GMR Institute of Technology, held from 14-09-2020 to 19-09-2020

Online Courses Completed

  • Padh AI - Deep Learning has successfully completed and received a certificate, an online learning initiative of One Fourth Labs, during January 2019 to June 2019.
  • CS213.2x: Implementation of Data Structuress has successfully completed and received A grade in study offered by IITBombayX, an online learning initiative of Indian Institute of Technology Bombay, during 13 March 2018 to 18 December 2018.
  • CS213.1x: Foundation of Data Structuress has successfully completed and received A grade in study offered by IITBombayX, an online learning initiative of Indian Institute of Technology Bombay, during 21 February 2017 to 12 December 2017.
  • 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 / Guest Lectures Delivered

  • Delivered a two-day guest lecture on "Automata: Principles, Techniques and Tools" at HINDU College of Engineering and Technology, Guntur during 08-05-2023 and 09-05-2023.
  • Delivered a two-day guest lecture on "Compliers: Principles, Techniques & Tools" at KKR & KSR Institute of Technology, Guntur during 07-02-2023 and 08-02-2023.
  • Delivered an online session on "Machine Learning in Computer Vision" at Vijaya Institute of Technology for Women, Vijayawada on 26-04-2022 as part of one week FDP.
  • Delivered an online guest lecture on "Artificial Intelligence" at St. Mary's Womens Engineering College, Guntur during 20-11-2021 to 22-11-2021.
  • Delivered a guest lecture on "Image Processing with MATLAB" at SSN College of Engineering, Ongole, conducted a workshop on 10-02-2018.
  • Delivered a guest lecture on "Computational Physics-Image processing methods" at SRR & CVR Govt. Degree College, Vijayawada, conducted a workshop on 24-02-2016.