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Dr. Divya B S
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Dr. Divya B S

Associate Professor

  • School/College

    Faculty of Engineering and Technology

  • Department

    Department of Computer Science and Engineering

Divya BS received the Bachelor of Engineering degree in Electronics and Communication Engineering from Bangalore University. Then obtained Master of Technology degree from visvesvaraya technological university, Belgaum. She received Ph.D. degree with specialization in Image processing and Machine Learning from Karpagam Academy of Higher Education, Coimbatore. She is currently an Associate 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.

Qualifications

  • Ph.D. (Image Processing and Machine Learning)

    Karpagam Academy of Higher Education, 2019

  • M.Tech (ECE)

    Visvesvaraya Technological University, 2005

  • B.E. (ECE)

    Bangalore University, 2001

Experience

Total Years of Experience

14 Years

Academic Experience
  1. Acharya Institute of Technology, Bangalore : 10 years
  2. Ramaiah University of Applied Sciences : 4 years .

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

Book Chapter
  • Keerthi Mangond, B. S. Divya, N. Siva Rama Lingham, Thompson Stephan (2023), Automation of COVID-19 Disease Diagnosis from Radiograph. In System Design for Epidemics Using Machine Learning and Deep Learning. Signals and Communication Technology. pp 37 – 47Springer, https://​doi​.org/​1​0​.​1​0​0​7/978 – 3-031 – 19752-9_3
Book
  • Divya B S, Nanjundaswamy H R. (2015), ​“Image Processing” 2nd edition published by Sapna book house, Bangalore (www​.sap​naon​line​.com).

  • 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.
  • Grant Sanctioning Agency: Science and Engineering Research Board - Promoting Opportunities for Women in Exploratory Research (SERB POWER), Govt of India.
    Sanctioned budget: Rs 20,00,000/-
    Duration: 12/12/2021 to 12/12/2024
    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.
  • Grant Sanctioning Agency: Vision Group on Science and Technology, Govt of Karnataka
    Sanctioned budget: Rs 20,00,000/-
    Duration: 26/07/2024 to 26/07/2026
    Title: Development of a Computer Aided Diagnosis and Prognosis of common odontogenic jaw Lesions, on whole Slide Histopathology Images of Incisional biopsies - A Retrospective Cohort Study
    PI: Dr. Divya B S, Co PI: Dr. Roopa S Rao  

International Conference Papers
  1. 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.
  2. 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.
  3. 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.
  4. Divya B S, Nanjundaswamy HR, N.J.R.Muniraj (2014) ​“Adaptive Segmentation and Cells Extraction Algorithm for the Analysis of HEp-2 ANA Images”, International conference on Recent Trands in Signal Processing,image Procesing and VLSI.
  5. Nanjundaswamy H R, Divya B S.(2010) ​“Configurable VESA- VGA and DVI Test Pattern Generator” @ Design and Reuse IP SoC 2010 conference, Grenoble.
National Journal Papers
  1. 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.
International Journal Papers
  1. Samahit Mohanty, Divya BS, Roopa S Rao, Astekar M, Chandrashekar C, Radhakrishnan R, Sanjeevareddygari S, Kotrashetti V, Kumar P. Development of Automated Risk Stratification for Sporadic Odontogenic Keratocyst Whole Slide Images with an Attention-Based Image Sequence Analyzer. Diagnostics. 2023; 13(23):3539.  https://doi.org/10.3390/diagnostics13233539
  2. Samahit Mohanty, Divya BS, Roopa S Rao, Astekar M, Chandrashekar C, Radhakrishnan R, Sanjeevareddygari S, Kotrashetti V, Kumar P. Building Automation Pipeline for Diagnostic Classification of Sporadic Odontogenic Keratocysts and Non-Keratocysts Using Whole-Slide Images. Diagnostics. 2023; 13(21):3384. https://doi.org/10.3390/diagnostics13213384
  3. Divya B Shivanna, Stephan, T.; Al-Turjman, F.; Kolhar, M.; Alturjman, S. (2022) IoMT-Based Automated Diagnosis of Autoimmune Diseases Using MultiStage Classification Scheme for Sustainable Smart Cities. Sustainability, 14, 13891. https://​doi​.org/ 10.3390/su142113891
  4. Rao, R.S.; Divya BS; Mahadevpur et al,(2022) ​“Ensemble Deep-Learning-Based Prognostic and Prediction for Recurrence of Sporadic Odontogenic Keratocysts on Hematoxylin and Eosin Stained Pathological Images of Incisional Biopsies”, Journal of Personalized Medicine, MDPI, 12(8), 1220.
  5. 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.
  6. 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….
  7. BS Divya, Kamalraj Subramaniam, HR Nanjundaswamy (2020) “A study on indirect immunofluorescence image classification methods for bioinformatics”, International Journal of Medical Engineering and Informatics, 12(6), Pages 553-567
  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.

  • IEEE
  • ISTE

  • Dr. Divya B. S, Dr. Roopa Rao, Tushar Patil, Lichi Tensubam, “System and Method for Diagnosis and Risk Stratification of Odontogenic Keratocysts from Histopathological Images of Incisional Biopsies. Patent number: 202341059719 Filing Date: 05/09/2023
  • 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
  • Title: Automation of Odontogenic Keratocysts and Non- Keratocysts based on Incisional Biopsy. Patent number: 202041055633 Filing Date: 12/21/2020.

Admission 2025

ADDRESS

University House, New BEL Road, MSR Nagar, Bengaluru - 560054