Expertise

  • Machine Learning, Artificial Intelligence, Applications of Data Science, Project Management, Python R Programming, Data Visualization, Data Mining, Advanced Data Structure, Operating System

Research Interests

  • Machine Learning; Artificial Intelligence; Sentiment Analysis; Block Chain; Predictive Analytics; Deep Learning; Text Summarization; Speech to Text Recognition
Back to Faculty

Madhavi Devaraj, PhD

Associate Professor


ACADEMIC BACKGROUND 

  • PhD in Computer Science, Dr. APJ Abdul Kalam Technical University, India
  • Master of Philosophy in Computer Science, Madurai Kamaraj University, India
  • Master of Computer Applications, Madurai Kamaraj University, India
  • BSc in Mathematics, Bharathidasan University, India

Professional and Academic Experience

  • Distinguished Professor, Mapua University, Philippines
  • Assistant Professor, Babu Banarasi Das University,India
  • Guest Lecturer, National PG College, India
  • Academic Counselor, Indira Gandhi National Open University, India
  • Lecturer, Invertis University, India
  • Part-time Associate Faculty, UPTECH Consultancy Ltd, India
  • Data Science lead, Accenture Technology, Manila, Philippines

Publications

  • De Guia J., & Devaraj, M. (2019).“Methods and Trends in Natural Language Processing Applications in Big Data”. International Journal of Recent Technology and Engineering.
  • De Goma, J. C., Ammuyutan, L. A. B., Capulong, H. L. S., Naranjo, K. P., & Devaraj, M. (2019). Vehicular Obstruction Detection In The Zebra Lane Using Computer Vision. In 2019 IEEE 6th International Conference on Industrial Engineering and Applications (ICIEA) (pp. 362-366). IEEE.
  • Fernandez, A. C. T., & Devaraj, M. (2019). Computing the Linguistic-Based Cues of Fake News in the Philippines Towards its Detection. In WIMS (pp. 1-1).
  • Tarnate, K. J., & Devaraj, M. (2019). Prediction of ISO 9001:2015 Audit Reports According to its Major Clauses using Recurrent Neural Networks. International Journal of Recent Technology and Engineering, 8(2), 1773–1778.
  • De Guia, J., & Devaraj, M. (2018). Analysis of Cancer Classification using Gene Expression Data: A Scientometric Review. In International Conference on Inventive Computing and System Applications 2018. Int’l Journal of Pure and Applied Mathematics (Vol. 119, No. 12, pp. 12505-12513).
  • Devaraj, M., Fernandez, A.C T., Tarnate, K. J. (2018). Deep rapping: Character level neural models for automated rap lyrics composition. International Journal of Innovative Technology and Exploring Engineering (IJITEE). Vol.8, 2s, 306-311
  • Joseph, M., Devaraj, M., & Vea, L. A. (2018). Cancer Classification of Gene Expression Data using Machine Learning Models. In 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM) (pp. 1-6). IEEE.
  • De Castro, M. J. C., De Goma, J. C., Devaraj, M., Lopez, J. P. G., & Medina, J. R. E. (2018). Distraction Detection through Facial Attributes of Transport Network Vehicle Service Drivers. In Proceedings of the 2018 International Conference on Information Hiding and Image Processing (pp. 112-118). ACM.
  • De Castro, M. J. C., Medina, J. R. E., Lopez, J. P. G., de Goma, J. C., & Devaraj, M. (2018). A Non-Intrusive Method for Detecting Visual Distraction Indicators of Transport Network Vehicle Service Drivers Using Computer Vision. In 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM) (pp. 1-5). IEEE.
  • Piryani, R., Madhavi, D., & Singh, V. K. (2017). Analytical mapping of opinion mining and sentiment analysis research during 2000–2015. Information Processing & Management53(1), 122-150.
  • Christian Derrick Q. Lapuz., Carl Adrian M. San Jose, Athos Jacob M. Marasigan.,& Madhavi Devaraj (2017) Scientometric Survey of Human Heart Disease Related Publications in ASEAN, the Philippines and Singapore. International Journal of u- and e-Service, Science and Technology, Vol.10, No.9, pp.13-24.
  • Paula Antoinette G. Acuña., Alfonso Carlo J. Ellasos., Jethro A. Bautista & Madhavi Devaraj (2017). Scientometric Mapping of Social Science Studies in East Asia and the Philippines. International Journal of u- and e-Service, Science and Technology, Vol.10, No.8, pp-49-58.
  • Devaraj, M., Piryani, R., & Singh, V. K. (2016). Lexicon ensemble and lexicon pooling for sentiment polarity detection. IETE Technical Review33(3), 332-340.
  • Singh, V. K., Piryani, R., Waila, P., & Devaraj, M. (2014). Computing Sentiment Polarity of Texts at Document and Aspect Levels. ECTI Transactions on Computer and Information Technology (ECTI-CIT)8(1), 67-79.
  • Madhavi Devaraj, Rajesh Piryani & Vivek Kumar Singh (2014) Data Analytics and Opinion Mining: The ‘What’ and ‘Why’ for Business Enterprises. CSI Communications,38(04), 29-33.

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