Hindustan Campus

B.Tech- Computer Science & Engineering
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B.Tech- Electronics & Communication Engineering
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B.Tech – Electrical & Electronics Engineering
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BBA – Bachelor of Business Administration
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MBA - Master of Business Administration
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Dr. Shankar Z Thawkar

HOD

Qualification

:

M.E. (CSE) Ph.D.

Experience

:

25+ Years

Collage

:

Hindustan College of Science and Technology- MATHURA-281122

Contact

:

+91-9568006052

Email

:

Shankar.thawkar.hcst@sgei.org

Department

:

CSE / IT

Research Interest

:

Artificial Intelligence (Machine learning Deep learning, Computer Vision), Biomedical image processing with disease detection and classification.

BTech/MTech/MPhil Dissertation supervised

:

B.Tech : 45+ | M.Tech: 01 | MCA : 05

Research Publications

:

Journal: 25 (SCI and Scopus) | Conference :02

Journal

  • Singh, L. K., Khanna, M., Mansukhani, D., Thawkar, S., & Singh, R. (2024). Correction to: Features fusion based novel approach for efficient blood vessel segmentation from fundus images. Multimedia Tools and Applications, 83(28), 72175-72175.
  • Singh, L. K., Khanna, M., Thawkar, S., & Singh, R. (2024). A novel hybridized feature selection strategy for the effective prediction of glaucoma in retinal fundus images. Multimedia Tools and Applications, 83(15), 46087-46159.
  • Mittal, D., Parashar, A. R., Thawkar, S., & Katta, V. S. (2024). Human-Machine Interaction for Knowledge Discovery and Management. In Modern Technology in Healthcare and Medical Education: Blockchain, IoT, AR, and VR (pp. 88-105). IGI Global.
  • Singh, L. K., Khanna, M., Thawkar, S., & Singh, R. (2024). Deep-learning based system for effective and automatic blood vessel segmentation from Retinal fundus images. Multimedia Tools and Applications, 83(2), 6005-6049.
  • Khanna, M., Singh, L. K., Thawkar, S., & Goyal, M. (2024). PlaNet: a robust deep convolutional neural network model for plant leaves disease recognition. Multimedia Tools and Applications, 83(2), 4465-4517.
  • Singh, L. K., Khanna, M., Thawkar, S., & Singh, R. (2024). Deep-learning based system for effective and automatic blood vessel segmentation from Retinal fundus images. Multimedia Tools and Applications, 83(2), 6005-6049.
  • Singh, L. K., Khanna, M., Thawkar, S., & Singh, R. (2024). A novel hybridized feature selection strategy for the effective prediction of glaucoma in retinal fundus images. Multimedia Tools and Applications, 83(15), 46087-46159.
  • Singh, L. K., Khanna, M., Mansukhani, D., Thawkar, S., & Singh, R. (2024). Correction to: Features fusion based novel approach for efficient blood vessel segmentation from fundus images. Multimedia Tools and Applications,
  • Thawkar, S., Katta, V., Parashar, A. R., Singh, L. K., & Khanna, M. (2023). Breast cancer: A hybrid method for feature selection and classification in digital mammography. International Journal of Imaging Systems and Technology, 33(5), 1696-1712.
  • Khanna, M., Singh, L. K., Thawkar, S., & Goyal, M. (2023). Deep learning based computer-aided automatic prediction and grading system for diabetic retinopathy. Multimedia Tools and Applications, 82(25), 39255-39302.
  • Khanna, M., Agarwal, A., Singh, L. K., Thawkar, S., Khanna, A., & Gupta, D. (2023). Radiologist-level two novel and robust automated computer-aided prediction models for early detection of COVID-19 infection from chest X-ray images. Arabian Journal for Science and Engineering, 48(8), 11051-11083.
  • Singh, L. K., Khanna, M., Thawkar, S., & Singh, R. (2023). Nature-inspired computing and machine learning based classification approach for glaucoma in retinal fundus images. Multimedia Tools and Applications, 82(27), 42851-42899.
  • Singh, L. K., Khanna, M., Mansukhani, D., Thawkar, S., & Singh, R. (2023). Features fusion based novel approach for efficient blood vessel segmentation from fundus images. Multimedia Tools and Applications, 1-37.
  • Thawkar, S. (2022). Feature selection and classification in mammography using hybrid crow search algorithm with Harris hawks optimization. Biocybernetics and Biomedical Engineering, 42(4), 1094-1111
  • Singh, L. K., Khanna, M., Thawkar, S., & Singh, R. (2022). Collaboration of features optimization techniques for the effective diagnosis of glaucoma in retinal fundus images. Advances in Engineering Software, 173, 103283.
  • Singh, L. K., Khanna, M., &Thawkar, S. (2022). A novel hybrid robust architecture for automatic screening of glaucoma using fundus photos, built on feature selection and machine learning‐nature driven computing. Expert Systems, 39(10), e13069.
  • Khanna, M., Kulshrestha, M., Singh, L. K., Thawkar, S., & Shrivastava, K. (2022). Performance evaluation of machine learning algorithms for stock price and stock index movement prediction using trend deterministic data prediction. International Journal of Applied Metaheuristic Computing (IJAMC), 13(1), 1-30.
  • Thawkar, S., Sharma, S., Khanna, M., & Kumar Singh, L. (2021). Breast cancer prediction using a hybrid method based on butterfly optimization algorithm and ant lion optimizer. Computers in Biology and Medicine, 139, 104968.
  • Thawkar, S. (2021). A hybrid model using teaching-learning-based optimization and Salp swarm algorithm for feature selection and classification in digital mammography. Journal of ambient intelligence and humanized computing, 12, 8793-8808.
  • Thawkar, S., & Ingolikar, R. (2020). Classification of masses in digital mammograms using Biogeography-based optimization technique. Journal of King Saud University-Computer and Information Sciences, 32(10), 1140-1148.
  • Thawkar, S., & Ingolikar, R. (2019). Classification of masses in digital mammograms using the genetic ensemble method. Journal of Intelligent systems, 29(1), 831-845.
  • Thawkar, S., & Ingolikar, R. (2018). Classification of masses in digital mammograms using firefly based optimization. International Journal of Image, Graphics and Signal Processing, 14(2), 25.
  • Thawkar, S., & Ingolikar, R. (2017). Automatic Detection and Classification of Masses in Digital Mammograms. International Journal of Intelligent Engineering & Systems, 10(1).
  • Thawkar S, Ingolikar R, (2014). Segmentation of Masses in Digital Mammograms using Optimal Global Thresholding with Otsu’s method. International Journal of Computer Science and Technology (IJCST). 5: 129-132.
  • Thawkar Shankar, Ingolikar R. “Segmentation of Masses in Digital Mammograms using Optimal Global Thresholding with Otsu’s method”. International Journal of Computer Science and Technology 5 (2014): 129-132

Conference

  • Shankar Thawkar, Sunit Gupta, “Invisible Watermarking for Images Integrity and ownership verification”, National conference, IET Baddal (2007-08).
  • Shankar Thawkar, A. Senthil,“Invisible Watermarking of Digital Images for Copyright protection”,national conference, Engineering college Ajmer(2007)

Title of the invention

SECURE AUTOMOBILE PARKING SYSTEM

Date of filing of Application

06/10/2021

Application No.

202111045485 A

Publication Date

26/11/2021

Title of the invention

AI Based PHOTOVOLTAIC CELL Testing Device

Registration date

28 August 2023

Application No.

International Design Classification: Version: 14-2023, Class: 24 MEDICAL AND LABORATORY EQUIPMENT

Grant Date

06 September 2023

MOOC Courses/Certifications

  • FDP on “ Deep Learning” by Skill Dzire during 17-3-25 to 31-3-25
  • FDP on “Machine learning for mining software repositories” during 11-13 May 2023 organized by VIT Chennai.
  • ATAL-FDP on “Applications of Machine Learning” organized by Department of Computer Science and Engineering, Rajiv Gandhi University, Sep 2021
  • ATAL-FDP on “DEEP LEARNING FOR COMPUTER VISION” organized by Panimalar Engineering College, Aug 2021
  • ATAL-FDP on “Data Science” organized by Indian Institute of Information Technology Una, July 2021.
  • ATAL-FDP on “Applications of Machine Learning”
  • Certification program on Database Management System from NPTEL, IIT Kharagpur with Elite grade plus Top 5% Rank.
  • Certification program on Python for Data Science from NPTEL, IIT Madras.
  • Certification program on Design and analysis of algorithms from NPTEL, Chennai Mathematical Institute.

Award

Best Teacher Award (SGI) three times

Membership of professional bodies

ISTE (Life member)