Dr. Chandrakantha T S

Dr. Chandrakantha T S

Position: Assistant Professor

Educational Qualifications

BSc., MSc., MCA, Ph.D.,

  • Experience:
  •  07 Years (Teaching)
  • 08 Months (Industry)

Areas of Interest

  • Artificial Intelligence
  • Medical Image Processing
  • Embedded Systems

ORCID

https://orcid.org/my-orcid?orcid=0000-0002-3084-8315

Scopus ID

https://www.scopus.com/authid/detail.uri?authorId=58038743300

Google Scholar ID

https://scholar.google.com/citations?user=HnQtIjkAAAAJ&hl=en

Subjects Handled

  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Pattern Recognition
  • Digital Image Processing
  • Ethical Hacking
  • Programming in C/C++/Java/Python
  • Operating System
  • Linux Shell and Shell Scripting
  • Computer Networks
  • Software Engineering
  • IoT and Embedded Systems

Journal Publications:

  1. Chandrakantha, T.S., Jagadale, B.N. & Madhuri, G.R. A Hybrid Machine Learning Framework for Parkinson’s Disease Detection: Integrating Feature Selection, Dimensionality Reduction, and Ensemble Classification. SN COMPUT. SCI.7, 185 (2026). https://doi.org/10.1007/s42979-026-04783-2
  2. Chandrakantha TS, Jagadale BN, Alnaggar OAMF. (2024) Lung Tumor Classification using Hybrid Deep Learning and Segmentation by Fuzzy C Means.Indian Journal of Science and Technology. 17(1): 70-79. https://doi.org/10.17485/IJST/v17i1.2124
  3. T S, C. , Jagadale, B.N. , T E, A. and Farhan Alnaggar, O.A.M. 2023. Automated Identification and Localization of Brain Tumor in MRI Using U-Net Segmentation and CNN-LSTM Classification.International Journal on Recent and Innovation Trends in Computing and Communication. 11, 10s (Oct. 2023), 637–644. DOI:https://doi.org/10.17762/ijritcc.v11i10s.7703.
  4. Chandrakantha T S, Basavaraj N Jagadale “Comparative Analysis of U-Net and DeepLab for Automatic Polyp Segmentation in Colonoscopic Frames Using CVC-ClinicDB Dataset” International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 10, Issue 5, pp.263-269, September-October-2023. Available at doi : https://doi.org/10.32628/IJSRSET2310550
  5. Chandrakantha, T. S., Jagadale, B. N., & Abhisheka, T. E. (2023). Improved Breast Cancer Classification Using Wavelet-Based Feature Extraction and Ensemble Learning. European Chemical Bulletin, 12(7), 620–637.

Book Chapter:

  1. Madhuri, G. R., Jagadale, B. N., Salma, N., Akshata, G. M., Gupta, A., & Chandrakantha, T. S. (2024). Machine Learning-Based Pattern Recognition Models for Image Recognition and Classification. In D. S. Guru, N. V. Kumar, & M. Javed (Eds.), Data Analytics and Learning (ICDAL 2022), Lecture Notes in Networks and Systems (Vol. 779). Springer, Singapore. https://doi.org/10.1007/978-981-99-6346-1_8.

Conferences:

  1. S. Chandrakantha, B. N. Jagadale, G. R. Madhuri and T. E. Abhishek, “AI in Ophthalmic Imaging: Enhancing Retina Analysis for Early Disease Detection,” 2024 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI), Prayagraj, India, 2024, pp. 1-6, doi: 10.1109/CVMI61877.2024.10782114.
  2. S. Chandrakantha, B. N. Jagadale, G. R. Madhuri, O. A. M. F. Alnaggar, T. E. Abhishek and H. N. Swaroopa, “Review on Brain Tumor Segmentation and Classification using Artificial Intelligence,” 2023 IEEE International Conference on Contemporary Computing and Communications (InC4), Bangalore, India, 2023, pp. 1-6, doi: 10.1109/InC457730.2023.10262833.
  3. S. Chandrakantha, B. N. Jagadale and G. R. Madhuri, “A Survey on Artificial Intelligence-based Lung Tumor Segmentation and Classification,” 2022 International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics ( DISCOVER), Shivamogga, India, 2022, pp. 201-206, doi: 10.1109/DISCOVER55800.2022.9974713.
  4. Chandrakantha, T. S., Jagadale, B. N. (2019). Implementation of Real-Time Face Recognition Using Raspberry Pi. Proceedings of ICINEC-2019, ISBN: 978-93-83985-20-3.
  5. Chandrakantha, T. S., Jagadale, B. N., & Madhuri, G. R. (2023). Various Denoising Techniques on Chest X-Ray Images: A Study. International Conference on Emerging Trends in Engineering, Science, and Technology (ICETEST-2023), S.B. Arts and K.C.P. Science College, Vijayapur.
  6. Chandrakantha, T. S., Jagadale, B. N. (2019). Age Prediction and Gender Classification Using Convolutional Neural Networks. Proceedings of ICINEC-2019, ISBN: 978-93-83985-20-3.
  7. Chandrakantha, T. S., Jagadale, B. N., & Madhuri, G. R. (2023). Various Denoising Techniques on Chest X-Ray Images: A Study. International Conference on Emerging Trends in Engineering, Science, and Technology (ICETEST-2023), S.B. Arts and K.C.P. Science College, Vijayapur.
  8. Chandrakantha, T. S., Jagadale, B. N.Design and Development of Autonomous Fire Fighting Robot. Proceedings of ICINEC-2019, ISBN: 978-93-83985-20-3
  9. Chandrakantha, T. S., Jagadale, B. N. (2019). Implementation of Wireless Long-Range Hand Gesture Recognition Controlled Robot Using NRF24L01. Proceedings of ICINEC-2019, ISBN: 978-93-83985-20-3.

Workshops / FDPs / SDPs / STTPs / Attended / Conducted:

05

Certification Courses / Training by Industry:

Embedded Systems Professional – Advanced (ECEP)
Certified by Emertxe, Bangalore-  560001 | Duration: 08 Months