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Basic Details

  • Full Name : Dr. M. Rama Bai
  • Designation : Professor (Emerging Technologies)
  • Edu. Qualification : Doctor of Philosophy (CSE)
  • Specialization : Image Processing
  • Total Experience :
  • JNTUH ID : 02150403-220700
  • AICTE ID :
  • E-Mail : mramabai_cse@mgit.ac.in

Teaching Experience

  • 21 Years

Research Experience

  • Jan, 2010-Aug, 2024: 10 Years

Publications

  • M. Rama Bai, CH Ramanitha , An Approach To Locate And Detect Face In A Given Image, IJSART - Volume 7 Issue 5 – MAY 2021, ISSN [ONLINE]: 2395-1052
  • J Sreedevi, M Rama Bai, G Naga Sujini, Muthyala Mahesh and B Satyanarayana, Early-Stage Lung Cancer Detection Using Machine Learning, Biosc.Biotech.Res.Comm. Special Issue Vol 14 No 05 (2021)

Patents Published

  • Patent on “Realtime signal generators for cellular jammer with dynamic switching of frequency bands”, was published on May-2021 , Patent Number 2021101590.

Participation in Workshops / Conferences

  • M.Rama Bai, Mrs. A.V.L. Prasuna, Mr. SandeepKodavati , “Review On Techniques To Control Data Access In Public Cloud Using Attribute And Time Factors”, presented in the Ist International Conference on Advancement and innovations in Engineering, Technology & Management, JBREC, 28-29 Dec2017.
  • M. Rama Baii, “Spam Detection using NLP Techniques”,presented in the International Conference on Computing Communication and Electrical Technologies(ICCCET-2019), held on 29th - 30th August 2019 by G.Narayanamma Institute of Technology and Science (for Women).
  • G Naga Sujini, J Sreedevi, Dr M Rama Bai, V.Mounica, Music Genre Classification, International Conference on "Emerging Trends in Circuit Branch Technologies and Applications" (ETCTA 2021) CBIT, during 3-4 April 2021
  • M.Rama Bai, “Me Too Movement Sentiment Analysis”, presented in the International Conference on Computing Communication and Electrical Technologies(ICCCET-2019),held during29th - 30th August 2019in. Narayanamma Institute of Technology and Science.
  • M. Rama Bai, CH. Ranjith Kumar, J. SreeDevi, M. NagaSujini, A Machine Learning approach for Phishing Website Detection,in the 2nd international Multidisciplinary Conference on Information Science, Management research and Social Science(ICISMRSS-2021) Vol-1,Pg 64-68, March19, 2021

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