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Dr. Vijaya Padmanabha

Dr. Vijaya Padmanabha

Assistant Professor

Faculty of Mathematics & Computer Science

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Areas of Research

  • Data Mining

  • Machine Learning

  • Data Analytics

Dr. P. Vijaya is an Assistant Professor in the Department of Mathematics and Computer Science. Prior to joining MCBS, she served as an Assistant Professor at Waljat College of Applied Sciences in Rusayl, Oman, for 15 years. Her research interests encompass Data Mining, Machine Learning, and Data Analytics.

Dr. Vijaya has been recognized for her exemplary leadership and academic contributions, receiving the Best Head of Department, Academics award based on a comprehensive 360-degree evaluation at Waljat College. She has held several significant roles, including Head of Academic Support Services and Head of the Computer Science & Engineering Department.

Her extensive experience includes organizing numerous international conferences, special sessions, symposiums, tech fests, workshops, guest lectures, and summer programs. She is known for her leadership in college activities, earning accolades for her time management and dedication.

Dr. Vijaya’s research has been published predominantly in SCI and Scopus-indexed journals. She also serves as a reviewer for various international journals and conferences and is a guest editor for multiple scholarly journals.

Education

  • Ph.D. in Computer Science and Engineering from Karpagam University, Coimbatore, Tamil Nadu, India in 2017

  • Master of Technology (M.Tech) in Computer Science and Engineering from Manipal Institute of Technology, Manipal, India (2002)

  • Bachelor of Engineering in Electronics and Communication from the National Institute of Technology, Tiruchirappalli, India (1995)

Experience Summary

With over 24 years of teaching experience, Dr. Vijaya has held various academic positions:

Dr. P. Vijaya has been an Assistant Professor at the Department of Mathematics and Computer Science, Modern College of Business and Science, Sultanate of Oman, since January 26, 2020. Prior to this, she served as an Assistant Professor at the Department of Computer Science & Engineering, Birla Institute of Technology, Muscat, Sultanate of Oman, from October 2, 2004, to January 25, 2020.

Her earlier academic roles include serving as a Senior Lecturer at the Department of Computer Science & Engineering, P.A. College of Engineering, Mangalore, India, from September 2002 to September 2004. Dr. Vijaya began her career as a Lecturer in various institutions, including the Department of Electronics at Dr. T.M.A. Polytechnic, Manipal (July 1998 – August 2002), Government Polytechnic, Mangalore (September 1997 – June 1998), and PNRM Polytechnic, Tiruchirappalli (September 1995 – August 1997) in India.

Selected Publications

  1. Vijaya, P., Chander, S., Fernandes, R., Rodrigues, A. P., & Maheswari, R. (2024). Severity of lung infection identification and classification using optimization-enabled deep learning with IoT, Multimedia Systems, 30(2), 1-23. April.
  2. Rodrigues, A. P., Fernandes, R., Vijaya, P., Al Washahi, M., & Shaker, H. (2024). Predictive analytics techniques in the agricultural industry: A case study. In 2024 11th International Conference on Reliability, Infocom Technologies and Optimization (pp. 1-6). IEEE Xplore.
  3. Saranya, P., Vijaya, P., Maheswari, R., Palanisamy, P., & Mani, J. (2024). Intelligent system for improving scalability by sharding for agriculture supply chain. In 2024 11th International Conference on Reliability, Infocom Technologies and Optimization (pp. 1-6). IEEE Xplore.
  4. Rodrigues, A. P., Vijaya, P., & Fernandes, R. (2024). Tulu Language Text Recognition and Translation. IEEE Access, April.
  5. Vijaya, P. (2023). Adaptive Jellyfish Search Optimization Trained Deep Learning for Breast Cancer Classification Using Histopathological Images. Mapana Journal of Sciences, 22(3), 59-79.
  6. Rana, K., Singh, A. V., & Vijaya, P. (2023, September). AggTrust: New Approach for Aggregated Trust Value for IoT with Comparative Study. In 2023 6th International Conference on Contemporary Computing and Informatics (IC3I) (Vol. 6, pp. 694-699). IEEE.
  7. Vijaya, P., Rajendran, R., Kumar, B., & Mani, J. (2023, May). Early Prediction of At-Risk Students in Higher Education Institutions Using Adaptive Dwarf Mongoose Optimization Enabled Deep Learning. In International Conference on Computational Sciences and Sustainable Technologies (pp. 15-29). Springer Nature Switzerland.
  8. Chander, S., Vijaya, P., Fernandes, R., Rodrigues, A. P., & Maheswari, R. (2023). Dolphin-political optimized tversky index-based feature selection in spark architecture for clustering big data. Advances in Engineering Software, 176, April.
  9. Kamath B, N., Fernandes, R., Rodrigues, A. P., Mahmud, M., Vijaya, P., Gadekallu, T. R., & Kaiser, (2023). TAKEN: A traffic knowledge-based navigation system for connected and autonomous vehicles. Sensors, 23(2), January.
  10. Vijaya, P., Chander, S., Palanisamy, P., Sebastian, A., & Mani, J. (2023, January). Feature Selection and Optimization Based Deep Learning for Rainfall Prediction. In 1st International Conference on Innovation in Information Technology and Business (ICIITB 2022) (pp. 235-249). Atlantis Press.
  11. Sebastian, A., Padmanabha, V., & Mani, J. (2023, January). Biometrically Authenticated Boot Loading System from USB Drive by Exploiting the Fingerprint and Finger Vein. In 1st International Conference on Innovation in Information Technology and Business (ICIITB 2022) (pp. 250-261).
  12. Resmi, K. R., Raju, G., Padmanabha, V., & Mani, J. (2023, January). Person Identification by Models Trained Using Left and Right Ear Images Independently. In 1st International Conference on Innovation in Information Technology and Business (ICIITB 2022) (pp. 281-288). Atlantis Press.
  13. Rodrigues, A. P., Fernandes, R., & Vijaya, P. (2022, December). A study on the evaluation of different regressors in Weather Prediction. In 2022 International Conference on Artificial Intelligence and Data Engineering (AIDE) (pp. 13-18). IEEE.
  14. Shetty, B., Fernandes, R., Rodrigues, A. P., & Vijaya, P. (2022, December). Brain tumor detection using machine learning and convolutional neural network. In 2022 International Conference on Artificial Intelligence and Data Engineering (AIDE) (pp. 86-91). IEEE.
  15. Vijaya, P., & Selvi, M. (2022). An approach using e-khool user log data for e-learning recommendation system. Journal of Information & Knowledge Management, 21(03), September.
  16. Chander, S., Vijaya, P., & Dhyani, P. (2022). A parallel fractional lion algorithm for data clustering based on MapReduce cluster framework. International Journal on Semantic Web and Information Systems, 18(1),1-20.

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