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Ramaiah University of Applied Sciences

Dr Divya B S

Dr. Divya B S

Associate 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: 13.23 years

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

  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 WholeSlide Images with an Attention-Based Image Sequence Analyzer. Diagnostics. 2023; 13(23):3539. https://​doi​.org/​1​0​.​3​3​9​0​/​d​iagno…
  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 OdontogenicKeratocysts and Non-Keratocysts Using Whole-Slide Images. Diagnostics. 2023; 13(21):3384.https://​doi​.org/​1​0​.​3​3​9​0​/​d​i​a​g​n​o​s​t​i​c​s​1​3​2​13384
  3. Patil, T., Tensubam, L., Yakolli, N., Shivanna, D.B. (2023). An Ensemble Deep Learning Algorithm to Predict PM2.5 Concentration Levels in Bengaluru’s Atmosphere. In: Singh, M., Tyagi, V., Gupta, P., Flusser, J., Ören, T. (eds) Advances in Computing and Data Sciences. ICACDS 2023. Communications in Computer and Information Science, vol 1848. Springer, Cham. https://​doi​.org/​1​0​.​1​0​0​7/978 – 3‑031 – 37940-6_26
  4. Divya B Shivanna, Stephan, T.; Al-Turjman, F.; Kolhar, M.; Alturjman, S. IoMT-Based Automated Diagnosis of Autoimmune Diseases Using MultiStage Classification Scheme for Sustainable Smart Cities. Sustainability, (2022) 14, 13891. https://​doi​.org/ 10.3390/su142113891.
  5. Rao, R.S.; Divya BS; Mahadevpur et al, ​“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, 2022, MDPI, 12(8), 1220.
  6. Rao, R.S.; Divya BS; Mahadevpur, K.S.; Shivaramegowda, S.G.; Prakash, S.; Lakshminarayana, S.; Patil, S. Deep Learning-Based Microscopic Diagnosis of Odontogenic Keratocysts and Non-Keratocysts in Haematoxylin and Eosin-Stained Incisional Biopsies, Diagnostics, 2021, 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.
  7. B. S Divya, Kamalraj Subramaniam, and H. R. Nanjundaswamy, ​“Human Epithelial Type‑2 Cell Image Classification Using an Artificial Neural Network with Hybrid Descriptors” , IETE Journal of Research, 2020, pp. 30 – 41, Issue 1, Vol 66, Taylor & Francis, DOI: https://​doi​.org/​1​0​.​1​0​8​0​/​0​3​7​7​2​0​6​3​.​2​0​1​8​.​1​4​74810.
  8. B. S Divya, Kamalraj Subramaniam, and H. R. Nanjundaswamy, ​“A study on indirect immunofluorescence image classification methods for bioinformatics”, International Journal of Medical Engineering and Informatics, 2020,pp. 553 – 567, Issue 6, Vol 12, Inderscience Publishers,DOI
  9. B. S Divya, Kamalraj Subramaniam, and H. R. Nanjundaswamy, ​“Human epithelial type‑2 cell categorization using hybrid descriptor with binary tree”, Journal of Ambient Intelligence and Humanized Computing, Springer Nature, 2018, pp 1 – 8, , DOI: https://doi.org/10.1007/s12652-018‑0694‑6 .
  10. 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,pp. 84 – 90
  11. K. Subramaniam, M. P. Paulraj and B. S. Divya, ​“EEG based hearing states detection using AR modeling techniques,” 2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES), Kuala Lumpur, Malaysia, 2016, pp. 513 – 521, doi: 10.1109/IECBES.2016.7843504.
  12. B. S. Divya, K. Subramaniam and H. R. Nanjundaswamy, ​“HEp‑2 cell classification using binary decision tree approach,” 2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES), Kuala Lumpur, Malaysia, 2016, pp. 507 – 512, doi: 10.1109/IECBES.2016.7843503.
  13. 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
  14. 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.
  15. Nanjundaswamy H R, Divya B S (2010)​“Configurable VESA- VGA and DVI Test Pattern Generator” @ Design and Reuse IP SoC 2010 conference, Grenoble

Book:

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

Patent Filed

  1. Title: Automation of Odontogenic Keratocysts and Non- Keratocysts based on Incisional Biopsy. Patent number: 202041055633 Filing Date: 12/21/2020.
  2. 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:2 0÷01÷2022
  3. Title: 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

Invited Lecture :

  1. Session: Advances in Diagnosis and Prognosis, Venue: BioTEx 2023, IIT Delhi. 1st Dec 2023

  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