Computer Science

Dr. Bharathi R


I have completed B.E, and M.E, in Computer Science and Engineering with University Second Rank from Bharathiar University, Coimbatore, and Ph.D. from Visveswaraya Technological University, Belagavi. I was working as Associate Professor in Information Science and Engineering Department at PESIT, Bangalore South Campus (Jan 2015 to Aug 2018) and as Associate Professor in Computer Science Engineering Department at PES University, EC Campus since Aug 2018. Currently, I am in Computer Science and Engineering Department as a Professor. I have a total of 23+ years of experience in academics, out of which 7 years in research. My areas of interest include Data Analytics, Data Science, Machine learning, Deep learning, and Natural Language Processing.

  • Machine Learning
  • Data Analytics
  • Introduction to Data Science
  • Design and Analysis of Algorithms
  • Data Structures
  • Formal Languages and Automata Theory
  • Object Oriented Analysis and Design
  • Computer Systems Performance Analysis
  • Time table Coordinator
  • CCM Coordinator
  • FAM Coordinator
  • Project Coordinator

Research Interest

  • Machine Learning
  • Deep learning


  • "Hidden Markov Model Approach for Software Reliability Estimation with Logic Error." International Journal of Automation and Computing (2020): 1-16.
  • "Software reliability assessment of safety critical system using computational intelligence." International Journal of Software Science and Computational Intelligence (IJSSCI) 11, no. 3 (2019): 1-25. DOI: 10.4018/IJSSCI.2019070101
  • "A Machine Learning Approach for Quantifying the Design Error Propagation in Safety Critical Software System." IETE Journal of Research (2019): 1-15.


  • "Fuel Price Prediction Using RNN," 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2018, pp. 1510-1514, doi: 10.1109/ICACCI.2018.8554642.


  • "A novel safety metric SM EP for performance distribution analysis in software system." In Strategic Engineering for Cloud Computing and Big Data Analytics, pp. 51-61. Springer, Cham, 2017.
  • "Early detection of software reliability: a design analysis." In Strategic Engineering for Cloud Computing and Big Data Analytics, pp. 83-99. Springer, Cham, 2017.
  • "Analysis of Error Propagation in Safety Critical Software Systems: An Approach Based on UGF." In Intelligent Decision Support Systems for Sustainable Computing, pp. 247-261. Springer, Cham, 2017.
  • "A framework for the estimation of OO software reliability using design complexity metrics." In 2015 International Conference on Trends in Automation, Communications and Computing Technology (I-TACT-15), pp. 1-7. IEEE, 2015.
  • "Improving the Performance of Semantic-Based Phishing Detection System Through Ensemble Learning Method," 2021 IEEE Mysore Sub Section International Conference (MysuruCon), 2021, pp. 463-469, doi: 10.1109/MysuruCon52639.2021.9641614.
  • "A Comprehensive Study on Various Statistical Techniques for Prediction of Movie Success." arXiv preprint arXiv:2112.00395 (2021). 2nd International Conference on Machine Learning Techniques and Data Science (MLDS 2021), Zurich, Switzerland
  • "Movie Success Prediction and Performance Comparison using Various Statistical Approaches",International Journal of Artificial Intelligence and Applications (IJAIA), Vol.13.
  • "Face Mask Detection System for Smart Door," 2022 IEEE 7th International Conference for Convergence in Technology (I2CT), 2022, pp. 1-6, doi: 10.1109/I2CT54291.2022.9824019.
  • "Framework for Detecting Fake Retweets Using Deep Neural Network," 2022 IEEE 7th International conference for Convergence in Technology (I2CT), 2022, pp. 1-6, doi: 10.1109/I2CT54291.2022.9824364.
  • "Sign Language Translation Systems: A Systematic Literature Review." International Journal of Software Science and Computational Intelligence (IJSSCI) 14, no. 1 (2022): 1-33.