Dr. J. Dhayanithi B.E, M.E, Ph.D

Dr. J. Dhayanithi B.E, M.E, Ph.D

Email: dhaya.j@sonatech.ac.in

Designation: Assistant Professor

Experience: Teaching - 13 years
Industry - 1.6 years

Specialization: Deep Learning, Full Stack Developer

Journal Publication Conference Publication Book Publication Major Contributions Invited Talk Training / Workshops Consultancy Research Projects Patent Membership Research IDs Awards & Recognitions Lab Achievements Credentials

Journal Publication

  1. Abirami A., Sureshkumar V., Dhayanithi J., Dhanasekaran S. (2024). Enhancing Medical Image Quality Using Fractional Order Denoising Integrated with Transfer Learning. Fractal and Fractional, 8(9):511. https://doi.org/10.3390/fractalfract8090511 (IF 3.6)
  2. V Sureshkumar, J Dhayanithi, V Ravi, V Velleangiri, P Ravi. (2024). A Comparative Study on Thyroid Nodule Classification Using Transfer Learning Methods. The Open Bioinformatics Journal, 17(1).
  3. Sureshkumar V., Prasad R.S.N., Sathiyabhama B., Dhayanithi J., Daniel J., Dhanasekaran S. (2024). Breast Cancer Detection and Analytics Using Hybrid CNN and Extreme Learning Machine. Journal of Personalized Medicine, 14(8):792. https://doi.org/10.3390/jpm14080792 (IF 3.0)
  4. J Dhayanithi, B Sathiyabhama, Sureshkumar V, Dhanasekaran S. (2024). Concatenated Modified LeNet Approach for Classifying Pneumonia Images. Journal of Personalized Medicine, 14(3):328. https://doi.org/10.3390/jpm14030328
  5. J Dhayanithi, B Sathiyabhama, Sureshkumar V, Dhanasekaran S. (2024). Revolutionizing Breast Cancer Diagnosis: A Concatenated Precision through Transfer Learning in Histopathological Data Analysis. Diagnostics, 14(4):422. (IF 3.6)
  6. B Sathiyabhama, Velmurugan Y, J Dhayanithi, Dhanasekaran S. (2023). A Modified LeNet CNN for Breast Cancer Diagnosis in Ultrasound Images. Diagnostics, 13(17):2746. (IF 3.6)
  7. Sundarakumar M.R., Sharma R., Fathima R., Rajan S.K.G., Dhayanithi J., Marimuthu J., Mohanraj M., Sharma G., Renoald A.J. (2023). Improving Data Processing Speed on Large Datasets in a Hadoop Multi-node Cluster Using Enhanced Apriori Algorithm. IOS Press, 45(4). (IF 2)

Conferences Publications

  1. Vyas V.A., Kumar M.A., Dhayanithi J. (2014). A framework for interactive endeavor to enhance learning (iEEL). *2014 IEEE International Conference on MOOC, Innovation and Technology in Education (MITE)*, Patiala, India.
  2. Usha M., Dhayanithi J. (2010). A framework for technology-based evaluation. *2010 International Conference on Technology for Education*, Mumbai, India.
  3. A Framework for Mining Heterogeneous Dataset J Dhayanithi, J Akilandeswari - Proceedings of the International Conference on …, 2017
  4. B Nagarajan, S Balasubramaniam, D Jaganathan, V Velleangiri, Enhancing the placement prediction system using gradient boosting machines (GBM), AIP Conference Proceedings 3279 (1), 2025.
  5. JG Sam, AAD Kumar, AR Rajendran, B Nagarajan, S Balasubramaniyam, A deep learning approach for skin cancer classification using multimodal fusion, AIP Conference Proceedings 3279 (1), 2025.
  6. V Velleangiri, S Balasubramaniam, V Suresh, D Jaganathan, A hybrid approach for diabetic nephropathy prediction using advanced firefly optimization, AIP Conference Proceedings 3279 (1), 2025.
  7. V. A. Vyas, M. A. Kumar and J. Dhayanithi. A framework for interactive endeavor to enhance learning (iEEL). 2014 IEEE International Conference on MOOC, Innovation and Technology in Education (MITE), Patiala, India.
  8. Usha M and Dhayanithi J. A framework for technology-based evaluation. 2010 International Conference on Technology for Education, Mumbai, India.

Book Publication

  1. J Dhayanithi, and Akilandeswari J. "Genetically-Modified K-Medoid Clustering Algorithm for Heterogeneous Data Set." Handbook of Research on Applications and Implementations of Machine Learning Techniques, IGI Global, 2020.

Research Projects (Funded Projects)

  1. Co–Investigator for the project titled 'AQIS - Scheme for Preparing SC/ST Students for Higher Education - PRERANA' with a sanctioned grant of ₹7,53,000.
  2. Co–Investigator for the project titled 'Fabric Defect Detection using Intelligent Image Analytics' funded by DST under FIST (2016–2019) with a sanctioned grant of ₹30,00,000.
  3. Implemented Urban Tree Information System software and provided refresher training to end users at Salem Municipal Corporation in 2017 (Revenue: ₹9,63,000).

Membership

  1. ISTE Life Member
  2. ACCS Life Member

Researcher IDs

Awards and Achievements

  1. Received the 'Best SPOC of the Month' award from Infosys twice, in the academic years 2023–2024 and 2024–2025.
  2. I was honored to be recognized and received the title of 'Infosys Digital Leader' during the Infosys Conclave 2021.
  3. Received 'A+' Grade in the Faculty Enablement Program on 'Python Programming through INFYTQ Platform' from 6th to 13th July 2020 by Infosys Limited
  4. Delivered an enlightening and insightful talk on: Powering the Python Programming Laboratory in SciPy India Conference 2019 organized by FOSSEE at Indian Institute of Technology Bombay on 29, 30 November 2019
  5. Infosys Distinguished Facilitator Award runner in the academic year 2017.
  6. Infosys Distinguished Facilitator Award winner in the academic year 2016.
  7. Regional Finalist in the Smart India Hackathon 2017.
  8. Won the National Teacher Contest at T4E International Conference 2014 conducted by IIT Bombay.
  9. Nominated for Best Techno Faculty Award 2014, Conducted by ICT Academy of Tamilnadu.
  10. Won 3rd Prize in AppInc2014 (Mobile Apps Innovation Contest) conducted by Bangalore Chamber of Industry and Commerce in 2014
  11. Completed Sabbatical Project in INFOSYS Bangalore, Title: GUI Metrics, Year: 2012
  12. Guided more than 40 batches for project contest from the academic year 2010-2020.
  13. Received Exceptional Service Award at Sona College of Technology for the academic year 2012
  14. GATE 2006 Qualifier