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Veena R

Veena R

Assistant Professor

MCA, (PhD)

veenar.mca@bmsce.ac.in

Research Interests: • Internet of Medical Things (IoMT)
• Artificial Intelligence in Healthcare
• Quantum Machine Learning
• Quantum-Inspired Computing
• Cybersecurity and Emerging Computing Technologies

About

Ms. Veena R is working as an Assistant Professor in the Department of Computer Applications at BMS College of Engineering, Bengaluru. She has around 10 years of teaching experience and has previously served as an Assistant Professor in various institutions offering the Bachelor of Computer Applications (BCA) programme under Bangalore University and Bengaluru City University.

Currently, she is pursuing her Ph.D. at CHRIST (Deemed to be University), Bengaluru. Her academic and research interests include emerging areas of computer science and applications, with a focus on developing innovative and technology-driven solutions.

Education

  • Master of Computer Applications(MCA) - Computer Application
    Surana college/Bangalore University
    Passed Year: 2016 | Program Type: FullTime
  • Bachelor of Computer Applications (BCA) - Computer Application
    Surana college/Bangalore University
    Passed Year: 2013 | Program Type: FullTime

Selected Publications

  • Book Chapter or Books | Published On : 13-01-2026
    Bhargavi M. R., Divya N., Veena R and Narendra N
    “Transforming Workforce Management in the NEP 2026 Era through Artificial Intelligence and Predictive Analytics.” Published by GEH Press, 2026. ISBN: 978-1- 971938-07-3. The chapter focuses on AI-driven workforce analytics and predictive workforce management.
  • Patents | Published On : 11-09-2025
    Sahana Devi K. J. Dr. Chetan Srinivas S. Dr. Vanajakshi K. Ms. R. Srividya Mr. Chethan Kumar K. Ms. Lakshmi B. N. Mrs. Mrudula K. Mr. Rathan J. Ms. Veena R.
    Design Patent: AI-Powered Enterprise Management Device Design No.: 473154-001 Registered: 11 September 2025 Authority: Indian Patent Office
    Weblink
  • Journal | Published On : 03-07-2024
    Sahana Devi. K. J, Dr.Chetana Srinivas, Lakshmi.B.N, Rathan.J, Veena R, Bharati Rathod, Suhas Aithal .V
    “Assessing the Efficiency of Machine Learning Algorithms in Diagnosing Metabolic Syndrome and Polycystic Ovary Syndrome (PCOS) using Shared Parameters: A Multivariate Novel Approach.” Published in International Journal of Engineering Research & Technology (IJERT). DOI: 10.5281/zenodo.18138672.
    Weblink
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