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R. Sagaya Milton – Professor

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March 5, 2024

R. Sagaya Milton – Professor

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R. Sagaya Milton – Professor

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R. Sagaya Milton
B.E. (Hons), M.E., Ph.D.

Professor

Email: [email protected]

Extn: 249

16

INTERNATIONAL
JOURNALS

16

INTERNATIONAL
CONFERENCES

Dr Sakaya Milton R is a professor of Computer Science and Engineering at SSN since January 2024. He has been teaching for 33 years. He received his B.E. degree with Honors in Electronics and Communication Engineering from  Thiagarajar College of Engineering, Maduari and M.E. in Computer Science and Engineering from College of Engineering Guindy, and Ph.D. in Information and Communication Engineering  (Rough Set Theory and Relational Learning), from Anna University , Chennai. He worked in Madras Christian College, Chennai, from 1993 to 2010, and in SSN College of Engineering from 2010 to 2022. His research interests include Machine Learning, Natural Language Processing, Reinforcement Learning, and Computer Science Education. He has published over 60 papers in International Conferences and Journals. He has guided two Ph.D. scholars, and a number of Masters theses. He has wide experience in curriculum design for programs and administration. He visited University of Calgary on a fellowship  for 3 months.

Some of his latest publications include:

  1. S Angel Deborah, Rajendram S Milton, T T Mirnalinee, S Rajalakshmi, Contextual Emotion Detection on Text Using Gaussian Process and Tree Based Classifiers. Intelligent Data Analysis, IOS Press, Vol 26, No 1, pp 119-132, January 2022
  2. Angel Deborah S, T T Mirnalinee, S Milton Rajendram. Emotion Analysis on Text Using Multiple Kernel Gaussian Process Model. Neural Processing Letters, Vol 53, No 2, pp 1187-1203, March 2021.
  3. Rajalakshmi S, R S Milton, Mirnalinee T T.  Content Boosted Hybrid Filtering (CBHF) for Solving the Pessimistic User Problem in Recommendation Systems}.  Intelligent Data Analysis, IOS Press}, Vol 24, No 6, pp 1477-1496, 2020.
  4. Hebsibah Paulin, R S Milton, S JanakiRaman, K Chandraprabha. Audio-Visual (Multimodal) Speech Recognition System Using Deep Neural Network. Journal of Testing and Evaluation, Vol 47, Issue 6, ISSN: 0090-3973, November 2019.
  5. L Raju, M Sakaya, SMahadevan.  Implementation of Energy Management and Demand Side Management of a Solar Microgrid Using a Hybrid Platform.  Turkish Journal of Electrical Engineering & Computer Sciences, Vol 25, Issue 3, pp 2219-2231, 2017.
  6. L Raju, R S Milton, S Mahadevan. Application of Multi Agent Systems in Automation of Distributed Energy Management in Micro-grid Using MACSimJX}. Intelligent Automation & Soft Computing, pp 1-9, April 2017.

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