Dr. Judeson Antony Kovilpillai J

Assistant Professor & Research Coordinator (Sponsored Research)

Alliance College of Engineering and Design

Prof. Judeson has 6 years of experience as an Assistant Professor, and he is passionate about teaching in the fields of Industry 4.0, Embedded Systems, Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning (ML). Prof. Judeson holds a Ph.D. degree with the title "Investigations on machine learning and deep learning techniques for machinery fault diagnosis and tile defect detection in cyber-physical systems" from Anna University, Chennai. His thesis aims to make significant contributions to the advancement of fault diagnosis techniques in cyber-physical systems, bridging the gap between theory and practical applications.

In addition to his academic expertise, Prof. Judeson has shown a strong commitment to continuous learning and professional development. He has completed 38 certification courses across various disciplines on platforms like NPTEL, BEC-Business English Certification, Coursera, Udemy, and Achology. Notably, he also gained valuable experience as a Research Intern during his post-graduation at the Healthcare and Technology Innovation Centre, IIT Madras.

SCI/Scopus Indexed Journal Articles:

  • Kovilpillai, J. J. A., & Jayanthy, S. (2023). An optimized deep learning approach to detect and classify defective tiles in production line for efficient industrial quality control. Neural Computing and Applications, 35(15), 11089-11108.
  • Kovilpillai, J. J. A., & Jayanthy, S. (2022). A Transfer Learning Approach for Effective Motor Fault Identification of Industrial Machines used in Tile Manufacturing. National Academy Science Letters, 45(5), 405-409.

Scopus Indexed Book Chapters:

  • Judeson Antony Kovilpillai, J., Jayanthy, S., & Thamaraikannan, T. (2022). Regression-Based Optimization and Control in Autonomous Systems. In Intelligent Sustainable Systems: Proceedings of ICISS 2021 (pp. 401-417). Springer Singapore.
  • Neethu, B. N., Vijai Srinivas, D., Jayanthy, S., & Judeson Antony Kovilpillai, J. (2021). Microcontroller Based Smart Grinder for Automatic Batter Collection and Grinder Cleaning. In Inventive Communication and Computational Technologies: Proceedings of ICICCT 2020 (pp. 177-188). Springer Singapore.
  • Kovilpillai, J. J. A., & Jayanthy, S. (2022). Parameter Analysis in a Cyber-Physical System. In Pervasive Computing and Social Networking: Proceedings of ICPCSN 2021 (pp. 361-371). Springer Singapore.
  • Rajathi, G. M., Kovilpillai, J. J. A., Sankar, H., & Divya, S. (2022). CNN-based vehicle classification using transfer learning. In Intelligent Sustainable Systems: Proceedings of ICISS 2021 (pp. 335-347). Springer Singapore.

Scopus Indexed Conference Proceedings:

  • Yugapriya, J. Judeson Antony Kovilpillai and S. Jayanthy, "Medical Gas Pressure Level Monitoring System using Machine Learning Algorithms," 2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS), Coimbatore, India, 2023, pp. 207-214.
  • Thulasiraman, T. T., Soundrarajan, J., & Judeson Antony Kovilpillai, J. (2022, October). Energy prediction and optimization based on machine learning. In American Institute of Physics Conference Series (Vol. 2494, No. 1, p. 070002).
  • Janarthanam, K., Kamalesh, P., Basil, T. V. & Kovilpillai, J. J. A. (2022, March). Electrical faults-detection and classification using machine learning. In 2022 international conference on electronics and renewable systems (ICEARS) (pp. 1289-1295). IEEE.
  • Parthasarathy, T., Kovilpillai, J. J. A., Irfan, H. M., & Ramprasath, B. (2022, September). Anomaly Analysis in Machine Sensors. In 2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET) (pp. 20-24). IEEE.
  • Yugapriya, M., Judeson, A. K. J., & Jayanthy, S. (2022, March). Predictive Maintenance of Hydraulic System using Machine Learning Algorithms. In 2022 International Conference on Electronics and Renewable Systems (ICEARS) (pp. 1208-1214). IEEE.
  • Yadhav, S. Y., Senthilkumar, T., Jayanthy, S., & Kovilpillai, J. J. A. (2020, July). Plant disease detection and classification using cnn model with optimized activation function. In 2020 international conference on electronics and sustainable communication systems (ICESC) (pp. 564-569). IEEE.
  • Neethu, B. N., & Jayanthy, S. (2019, December). Greenhouse Monitoring and Controlling using Modified K Means Clustering Algorithm. In 2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC) (pp. 456-462). IEEE.