Basic Details

  • Full Name : Mrs . Revathi Kandula
  • Designation : Assistant Professor (CSE - Artificial Intelligence and Machine Learning)
  • Edu. Qualification : M. Tech. (PhD)
  • Specialization : CSE
  • Total Experience :
  • JNTUH ID : 9077-170123-103325
  • AICTE ID : 1-3363027392
  • ORCID :
  • Google Scholar :
  • VIDWAN ID :
  • E-Mail : :  revathi.kandula@gmail.com , revathi@sphoorthyengg.ac.in

Teaching Experience

  • 6 years

Publications

  • 2. Mrs. K Revathi, Mr. B Janardhana Rao, Mr. G Harish Babu., “Video Inpainting using self-adaptive GMM with Improved Inpainting Technique”.
  • 3. Mrs. K Revathi, Mr. SSN Anjaneyulu “DETECTING DENIAL OF SERVICE ATTACK USING MULTIVARIATE CORRELATION ANALYSIS” in Advanced Research Journals of Science and Technology.
  • 1. K Revathi, B Janardhana Rao, “Analysis and Implementation of Enhanced Image Inpainting method using adjustable patch sizes”, Volume 9. No .3,march 2021 International Journal of Emerging Trends in Engineering Research Available Online at http://www.warse.org/IJETER/static/pdf/file/ijeter25932021.pdf https://doi.org/10.30534/ijeter/2021/25932021,

Faculty development programs attended

  • 4. “A 40 hour Faculty Development Program on “AI/ML for Computer Vision and Medical Image Analysis Application. Organized by BVRIT Hyderabad college of women engineering.
  • 3. Two Day Workshop on “Machine Learning with Mat Lab”, Organized by Malla Reddy Engineering College during 18-22 January, 2021.
  • 1. Five Day Faculty development program on “Artificial Intelligence”, organized by CBIT during 22-26 May.
  • 2. Five Day Faculty development program on “Artificial Intelligence & Machine Learning”, organized by CVR College of Engineering during 18-22 January, 2021.
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