Dr Divya B S

Dr. Divya B S

Assistant Professor


Divya BS received the Bachelor of Engineering degree in Electronics and Communication Engineering in 2001 from Bangalore University. Then obtained Master of Technology degree in 2005 from visvesvaraya technological university, Belgaum. She received Ph.D degree in 2019 with specialization in Image processing and Machine Learning from Karpagam Academy of Higher Education, Coimbatore. She is currently an Assistant Professor of Computer Science and Engineering at Ramaiah University of Applied Sciences, Bangalore. She is a recipient of the Runner Award for a Research Publication at the International Conference on Pattern Recognition (ICPR 2016). The award was given out for a research paper HEp‑2 cell classification using artificial neural network approach” in the contest organized by ICPR 2016. She has authored a book Image Processing” addressing the syllabus of Visveswaraya Technological University engineering course revised 2nd edition published by Sapna book house, Bangalore (www​.sap​naon​line​.com). Her current interests include the areas of pattern recognition and machine learning in Computer vision, with applications like medical image analysis. She serves as a referee for many relevant journals.

Qualifications

  • Ph.D in Image processing and Machine Learning

    Karpagam Academy of Higher Education, Coimbatore

Experience

Total Experience: 17years

Research Interest:

Machine Learning, Deep Learning, Medical Image Analysis, Computer Vision.

Research Expertise:

Machine Learning, Deep Learning, Medical Image Analysis, Computer Vision.

Keywords

  • Machine Learning
  • Deep Learning
  • Medical Image Analysis
  • Computer vision

Papers:

  1. Divya B S, Nanjundaswamy HR, N.J.R.Muniraj.(2012) Segmentation of IIF Hep‑2 ANA cells based on thresholding and connectivity” International Journal of Microsystems Technology and its Applications (IJMTA) Vol‑1, Issue‑1. pp.26 – 30.
  2. B. S. Divya, K. Subramaniam, and H. R. Nanjundaswamy, (2016)“HEp‑2 cell classification using artificial neural network approach,” in 23rd International Conference on Pattern Recognition(ICPR2016), IEEE, Mexico,4 – 8, pp. 84 – 9.
  3. Divya BS, Subramaniam K, Nanjundaswamy HR (2016) Hep‑2 cell classification using Binary Decision Tree approach”, 2016 IEEE EMBS Conference on Biomedical Engineering and Sciences(IECBES)., 4 – 8 Dec 2016. pp-507 – 512https ://doi.org/10.1109/ IECBE S.2016.78435 03.
  4. Divya BS, Subramaniam K, M P Paulraj (2016) EEG based hearing states detection using AR modeling techniques”, IEEE EMBS Conference on Biomedical Engineering and Sciences(IECBES)., 513 – 521 Dec 2016. 
  5. Nanjundaswamy H R, Divya B S.(2010) Configurable VESA- VGA and DVI Test Pattern Generator” @ Design and Reuse IP SoC 2010 conference, Grenoble.
  6. Divya B S, Nanjundaswamy HR, N.J.R.Muniraj (2014) Adaptive Segmentation and Cells Extraction Algorithm for the Analysis Classification of HEp‑2 ANA Images”, International conference on Recent Trands in Signal Processing,image Procesing and VLSI.
  7. B. S Divya, Kamalraj Subramaniam, and H. R. Nanjundaswamy, (2020)“Human Epithelial Type‑2 Cell Image Classification Using an Artificial Neural Network with Hybrid Descriptors”, IETE Journal of Research, pp. 30 – 41, Vol 66, Issue 1, DOI:https://​doi​.org/​1​0​.​1​0​8​0​/​0​37720….
  8. B. S Divya, Kamalraj Subramaniam, and H. R. Nanjundaswamy, (2018) Human epithelial type‑2 cell categorization using hybrid descriptor with binary tree”, Journal of Ambient Intelligence and Humanized Computing, Springer Nature, pp. 1 – 8, Feb. DOI:10.1007/s12652-0180694 – 6.
  9. Roopa S Roa, Divya BS, Kirthi MS.; Spoorthi Prakash, Sinchana,Surendra, Shankhar Patil,(2021), Deep Learning-Based Microscopic Diagnosis of Odontogenic Keratocysts and Non-Keratocysts in Haematoxylin and Eosin-Stained Incisional Biopsies. MDPI, Diagnostics, 11, 2184. https://​doi​.org/​1​0​.​3​3​9​0​/​d​i​a​g​n​o​s​t​i​c​s​1​1​1​22184.

Book :

  1. Divya B S, Nanjundaswamy H R. (2015), Image Processing” 2nd edition published by Sapna book house, Bangalore (www​.sap​naon​line​.com).

Patent Filled:

  1. Title: Automation of Odontogenic Keratocysts and Non- Keratocysts based on Incisional Biopsy.
    Patent Number:
    202041055633, Filling Date: 12/21/2020.
  2. Title: Automation of Odontogenic Keratocysts and Non- Keratocysts based on Incisional Biopsy.
    Patent number
    : 202041055633 Filing Date: 12/21/2020.
  3. Title: Automation of prognosis of recurring and non-recurring Odontogenic Keratocyst and risk stratification into binary system as low risk and high risk OKC’s
    Patent number: 202241004002 Filing Date: 20/01/2022

  1. I am a recipient of the Runner Award for a Research Publication at the International Conference on Pattern Recognition (ICPR 2016). The award was given out for a research paper HEp‑2 cell classification using artificial neural network approach” in the contest organized by ICPR 2016.
  2. Grant Sactioned: SERB POWER Grant Sanctioned
    Title: To develop Computer-Aided Diagnosis and risk stratification of Odontogenic Keratocysts from histopathological images of incisional biopsies.
    PI: Dr. Divya B S, Co PI: Dr. Roopa S Rao, Dr. Kavitha Prasad. 

  • ISTE

    Member

  • IEEE

    Member