DR. POORNIMA D

Name: Dr. Poornima D
Designation: Assistant Professor & Head of the Department
Qualification: MCA, M.PHIL(CS), PhD
Year of Joining: 17/10/2022
Work Experience: 18 years Teaching, 4 years Research

RESEARCH

The title of my PhD thesis is “Medical Diagnosis of Thyroid Disorders using Ultrasound Images”. The aim is to develop novel, accurate, intelligent computerized automated system using image processing and machine learning techniques for diagnosis of two of the major Thyroid disorders: Thyroid nodule and Diffuse Goiter. The foremost work taken in this thesis are:

  1. Removal of noise from thyroid medical images and comparative study of different denoising algorithms to identify the best denoising algorithm.

  2. Image segmentation to retrieve required Region of Interest (ROI) and comparative study of different segmentation algorithms.

  3. Feature extraction followed by Feature subset selection using different search techniques; comparative study of various feature selection methods to reduce computational time and improve the classifier performance.

  4. A comparative analysis of Machine Learning Algorithms (MLAs) and development of Fuzzy Inference System for classification of Thyroid disorders.

  5. Development of deep convolution model to classify thyroid nodules.
PUBLICATIONS
  • Poornima D, Asha Gowda Karegowda, “Deep Learning based Handwritten Arithmetic Equation Solver”, Fourth Int. Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT-2022) (IEEE) (scopus) 26-27 December 2022, PES College of Engg. Mandya
  • Poornima D, Asha Gowda Karegowda, “Enhanced Thyroid Nodule Classification Adopting Significant Features Selection,” Fourth Int. Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT-2022) (IEEE) (scopus) 26-27 December 2022, PES College of Engg. Mandya
  • Poornima D., Asha Gowda Karegowda, “A Pragmatic Review of Data Mining Techniques for Thyroid Categorization”, Aloy Journal of Soft Computing and Applications, Vol. 03, No. 01, pp. 24-46, 2015. (non-paid)
  • Poornima D., Asha Gowda Karegowda, P.T. Bharathi, “A Comprehensive Review of Medical Image processing Techniques for Thyroid Disorders”, International Journal of Applied Research on Information Technology and Computing (IJARITAC), Vol. 08, No. 01, pp. 56-80, print ISSN: 0975-8070, online ISSN: 0975-8089 (DOI: 10.5958/0975-8089.2017.00006.9), Jan-April 2017. (non-paid)
  • Poornima D., Asha Gowda Karegowda, P.T. Bharathi, “A Pragmatic Review of Denoising Techniques Applied for Medical Images”, International Journal of Applied Research on Information Technology and Computing (IJARITAC), Vol. 08, No. 01, pp. 81-104, print ISSN: 0975-8070, online ISSN: 0975-8089 (DOI: 10.5958/0975- 8089.2017.00007.0), Jan-April 2017. (non-paid)
  • Poornima D., Asha Gowda Karegowda, “A Review of Image Segmentation Techniques applied to Medical Images”, International Journal of Data Mining and Emerging Technologies, Vol. 08, No. 01, pp. 78-94, print ISSN: 2249-3212, online ISSN: 2249- 3220 (DOI: 10.5958/2249-3220.2018.00010.1), 2018. (non-paid)
  • Poornima D., Asha Gowda Karegowda, Sindhu N., “Performance Assessment of k-Means, FCM, ARKFCM and PSO Segmentation Algorithms for MR Brain Tumour Images”, International Journal of Data Mining and Emerging Technologies, Vol. 08, No. 01, pp. 1-9, print ISSN: 2249-3212, online ISSN: 2249-3220 (DOI: 10.5958/2249-3220.2018.00003.4), 2018. (non-paid)
  • Poornima D., Asha Gowda Karegowda, “Comparative Study of FCM, ARKFCM, KMeans and PSO Based Algorithms for Segmentation of Thyroid Nodules”, CiiT 6.International Journal of Digital Image Processing, Vol. 10, No. 10, pp. 186-191, October 2018. (non-paid)
  • Poornima D., Asha Gowda Karegowda, “Design of a Classifier System using Machine Learning Techniques for Diffuse Goiter Diagnosis”, CiiT International Journal of Artificial Intelligent Systems and Machine Learning, Vol. 11, No. 01, January 2019. (non-paid)
  • Poornima D., Asha Gowda Karegowda, “Performance Analysis of Various Filters for De-specking of Thyroid Ultrasound Images”, International Journal of Engg. And Advanced Technology (IJEAT), ISSN:2249-8958, Vol. 09, No. 02, December 2019
IN PEER REVIEWED NATIONAL/INTERNATIONAL CONFERENCES
  • Asha Gowda Karegowda, Poornima D., Lakshmi C.R, “Knowledge Based Fuzzy Inference System for Diagnosis of Diffuse Goiter”, Second IEEE International Conference on Emerging Computation and Emerging Technologies (ICECIT 2017), (DOI:10.1109/ICECIT.2017.8453338) Siddaganga Institute of Technology, Tumkur, Karnataka, India, 15th and 16th Dec. 2017.
  • Poornima D., Asha Gowda Karegowda, “CFS based Feature Subset Selection for Enhancing Thyroid Nodule Classification - A Filter Approach”, 3rd International Conference on Electrical, Electronics, Communication, Computer technologies & Optimization Techniques, IEEE, 14th -16th December 2018, Mysore.
  • Poornima D., Asha Gowda Karegowda, Ranjith J., “A Review of Thyroid Disorder Diagnosis using Image Processing Techniques”, National Conference on Emerging Trends in Computer Engineering and Technology (NCETCET ‘17), Department of Computer Engineering, MIT AOE Alandi(D), 24th and 25th Mar. 2017.
  • Poornima D., Asha Gowda Karegowda, “Design of a Fuzzy Inference based Ultrasound Image Analysis System for Differential Diagnosis of Thyroid Nodules”, 3rd International Conference on Integrated Intelligent Computing, Communication & Security (ICIIC-2021), (DOI: 10.2991/ahis.k.210913.034) Dept. of Computer Science Engg. And Dept. of Information Science Engg., SJB Institute of Techology, Bengaluru, India, 6th-7th August 2021.
  • Poornima.D, Asha Gowda Karegowda, Pushpalatha K. R, “An Improved Deep Convolutional Neural Network Model for Thyroid Nodule Classification”, AICTE Sponsored International Conference on Emerging Trends in Communication and Networking (ETCAN’21), Kongunada College of Engineering & Technology, Chennai, India, 22nd and 23rd October 2021 (Scopus).
  • Poornima.D, Asha Gowda Karegowda, Pushpalatha K. R, “Recognition of Foreign Bodies for Grading of Food Grains Using Machine Learning Techniques”, AICTE Sponsored International Conference on Emerging Trends in Communication and Networking (ETCAN’21), Kongunada College of Engineering & Technology, Chennai, India, 22nd and 23rd October 2021 (Scopus).
SUBJECT SPECIALISATION

Data Mining, Image Processing, Machine Learning, C, C++, Java, Operating Systems, Systems Software, DBMS, 8085 Microprocessor

    1. Attended and presented paper “Knowledge Based Fuzzy Inference System for Diagnosis of Diffuse Goiter” in IEEE International Conference on Emerging Computation and Emerging Technologies (ICECIT 2017), held at Siddaganga Institute of Technology, Tumkur, Karnataka, India during 15th and 16th Dec. 2017.
    2. Attended and presented paper “CFS based Feature Subset Selection for Enhancing Thyroid Nodule Classification - A Filter Approach” in 3rd International Conference on Electrical, Electronics, Communication, Computer technologies & Optimization Techniques, IEEE, held at GSSS Institute of Engineering and Technology for women, Mysuru, India during 14th -16th December 2018.
    3. Attended and presented paper “A Review of Thyroid Disorder Diagnosis using Image Processing Techniques” in National Conference on Emerging Trends in Computer Engineering and Technology (NCETCET ‘17), Department of Computer Engineering, MIT Academy of Engineering, Pune, India during 24th and 25th Mar. 2017.
    4. Attended and presented paper “Design of a Fuzzy Inference based Ultrasound Image Analysis System for Differential Diagnosis of Thyroid Nodules” in 3rd International Conference on Integrated Intelligent Computing, Communication & Security (ICIIC-2021), Dept. of Computer Science Engg. And Dept. of Information Science Engg., SJB Institute of Techology, Bengaluru, India, during 6th-7th August 2021.
    5. Attended and presented paper “An Improved Deep Convolutional Neural Network Model for Thyroid Nodule Classification” in AICTE Sponsored International Conference on Emerging Trends in Communication and Networking (ETCAN’21), Kongunada College of Engineering & Technology, Chennai, India, during 22nd and 23rd October 2021 (Scopus).
    6. Attended and presented paper “Recognition of Foreign Bodies for Grading of Food Grains Using Machine Learning Techniques” in AICTE Sponsored International Conference on Emerging Trends in Communication and Networking (ETCAN’21), Kongunada College of Engineering & Technology, Chennai, India, during 22nd and 23rd October 2021 (Scopus).
    7. Participated in one day Faculty Development Programme on Deep Learning with TensorFlow organized by Dept. of MCA in association with VTU held at New Horizon College of Engineering, Bengaluru on 12th April 2019.
    8. Attended three days Faculty Development Programme on Medical Data Mining and Analysis Using Open-Source Tools organized by Dept. of Computer Science and Engg. held at SJB Institute of Techology, Bangalore, during 5th to 7th September 2014.
    9. Attended three days Faculty Development Programme on Knowledge Mining using Machine Learning and its Applications organized by Dept. of Information Science and Engg. held at M.S.Ramaiah Institute of Techology, Bangalore, during 23rd to 25th January 2014.
    10. Attended and participated in one day workshop of Visveswaraiah Technological University, Belguam held at KVG College of Engineering, Sulya on 20th November, 1999 in connection with MBA III semester syllabus discussion and model question paper preparation.
    11. Attended short term course on Introduction to Artificial Neural Networks and its Engg. Applications organized by Dept. of Computer Science & Engg. in association with Dept. of Aerospace Engg. IISc, Bangalore held at Siddaganga Institute of Technology, Tumkur, during 27th to 31st August 2001.
    12. Attended four days Faculty Development Programme on Active Server Pages (ASP) held at Siddaganga Institute of Technology, Tumkur, during 13th to 16th April 2001.
    13. Attended four days Faculty Development Programme on Network Programming held at Siddaganga Institute of Technology, Tumkur, during 26th to 31st August 2002.
    14. Attended six days Faculty Development Programme on Modern Software Engg. Practices using Rational Rose held at Siddaganga Institute of Technology, Tumkur, during 25th February 2002 to 2nd March 2002.
    15. Attended six days Faculty Development Programme on Computer Communication and Image Processing held at Siddaganga Institute of Technology, Tumkur, during 23rd February to 28th February 2003.
    16. Attended six days Faculty Development Programme on Mathematics of Computation-I (computational Group Theory) held at Siddaganga Institute of Technology, Tumkur, during 21st August to 27th August 2003.
    17. Participated in one day Faculty Development Programme on Deep Learning with TensorFlow organized by Dept. of MCA in association with VTU held at New Horizon College of Engineering, Bengaluru on 12th April 2019.
    18. Attended three days Faculty Development Programme on Medical Data Mining and Analysis Using Open-Source Tools organized by Dept. of Computer Science and Engg. held at SJB Institute of Techology, Bangalore, during 5th to 7th September 2014.
    19. Attended three days Faculty Development Programme on Knowledge Mining using Machine Learning and its Applications organized by Dept. of Information Science and Engg. held at M.S.Ramaiah Institute of Techology, Bangalore, during 23rd to 25th January 2014.
    20. Attended and participated in one day workshop of Visveswaraiah Technological University, Belguam held at KVG College of Engineering, Sulya on 20th November, 1999 in connection with MBA III semester syllabus discussion and model question paper preparation.
    21. Attended short term course on Introduction to Artificial Neural Networks and its Engg. Applications organized by Dept. of Computer Science & Engg. in association with Dept. of Aerospace Engg. IISc, Bangalore held at Siddaganga Institute of Technology, Tumkur, during 27th to 31st August 2001.
    22. Attended four days Faculty Development Programme on Active Server Pages (ASP) held at Siddaganga Institute of Technology, Tumkur, during 13th to 16th April 2001.
    23. Attended four days Faculty Development Programme on Network Programming held at Siddaganga Institute of Technology, Tumkur, during 26th to 31st August 2002.
    24. Attended six days Faculty Development Programme on Modern Software Engg. Practices using Rational Rose held at Siddaganga Institute of Technology, Tumkur, during 25th February 2002 to 2nd March 2002.
    25. Attended six days Faculty Development Programme on Computer Communication and Image Processing held at Siddaganga Institute of Technology, Tumkur, during 23rd February to 28th February 2003.
    26. Attended six days Faculty Development Programme on Mathematics of Computation-I (computational Group Theory) held at Siddaganga Institute of Technology, Tumkur, during 21st August to 27th August 2003.
    AWARDS AND RECOGNITION

    Question Paper setter for MCA course of Visveswaraya Technological University, Belguam

    CONTACT
    • Email: poornima_cs@msrcasc.edu.in
      Department of Computer Science
      M.S Ramaiah College of Arts, Science and Commerce
      Bangalore - 560054, India
    • Office: 080-23600966