Ravikiran Bagadi

Ravikiran Bagadi

Associate Professor

Education

Ph. D.

Dr. Bagadi Ravi Kiran is a highly qualified Computer Science & Engineering professor with 14+ years of experience. He holds a PhD, M.Tech, and B.Tech in the field, and has published research in international journals and conferences. Dr. Kiran is dedicated to teaching and student welfare, and is an active member of professional organizations.

Research Publications

  • An efficient hybrid optimization algorithm for detecting heart disease using adaptive stacked residual convolutional neural networks, Biomedical Signal Processing and Control, Volume 87, Part B, 2024, 105522, ISSN 1746-8094, https://doi.org/10.1016/j.bspc.2023.105522.
  • Efficient adaptive enhanced adaboost based detection of spinal abnormalities by Machine learning approaches, Biomedical Signal Processing and Control, Volume 80, Part 2, 2023, 104367, ISSN 1746-8094, https://doi.org/10.1016/j.bspc.2022.104367.
  • High dynamic range image tone mapping technique based on the improved bitonic filter DOI: 10.3233/KES-190405 Journal: International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 23, no. 2, pp. 121-129, 2019 , Published: 26 July 2019
  • Luminance Chrominance Gradient Based Technique for High Dynamic Range Image Fusion, https://doi.org/10.1515/jisys-2018-0412 , Journal: Journal of Scientific & Industrial Research, vol. 78, pp. 604-607, 2019 ,Published: September 2019
  • Model for High Dynamic Range Imaging System Using Hybrid Feature Based Exposure Fusion Journal of Intelligent Systems, Volume 30, Issue 1, Pages 346–360, eISSN 2191- 026X, DOI: https://doi.org/10.1515/jisys-2018-0412. Accepted: 2019-08-14

Expertise

  • Check Icon Computer Vision
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