Assistant Professor

Dr M Vijaya Prabhagar

School of Entrepreneurship and Management Studies

Interests

  1. Basic Data Analytics
  2. Advanced Data Analytics
  3. Machine Learning

Education

2013

Alagappa Chettiar Government College of Engineering and Technology, Karaikudi
India
BE (Mechanical Engineering)

2015

Thiagarajar College of Engineering, Madurai
India
ME (Industrial Engineering)

2021

National Institute of Technology, Tiruchirappalli
India
PhD (Management Studies)

Experience

  • 2015 – 2021– Research Fellow – National Institute of Technology – Tiruchirappalli

Research Interest

  • Development of new agglomerative and divisive based clustering
  • New Performance measures for hard and soft clustering
  • Advancement of new means to enhance the performance of Kohonen Self-Organizing map
  • Progress of new YouTube Videos prediction models to predict the performance of the videos
  • Bringing out new modifications in the Random forest approach to solve the classification problems

Awards & Fellowships

  • 2015 – 2021, Institute PhD Fellowship, National Institute of Technology – Tiruchirappalli

Memberships

  • Member; Indian Society of Technical Education

Publications

SCI JOURNAL ARTICLES
  • Development of new agglomerative and performance evaluation models for classification - Vijaya Prabhagar. M., and Punniyamoorthy, M. Neural Computing and Applications, 32, 2589 -2600 (2020). (SCIE; Impact Factor: 4.774; Springer)
  • A new initialization and performance measure for rough k-means clustering - Vijaya Prabhagar. M., and Punniyamoorthy, M. Soft Computing, 24, 11605 – 11619 (2020). (SCIE; Impact Factor: 3.050; Springer)
  • Some measures to impact on the performance of Self-Organizing map - Vijaya Prabhagar. M., and Punniyamoorthy, M. Multimedia Tools and Applications (2021. (Accepted) (SCIE; Impact Factor: 2.313; Springer)
  • Boron-doped graphene quantum dots: an efficient photoanode for a dye-sensitized solar cell - Vijaya Prabhagar. M, M. Praveen Kumar, Chisato Takahashi, Subrata Kundu, Tharangattu N. Narayanan, Deepak K. Pattanayak, New Journal of Chemistry,43, 14313-14319 (2019). (SCI; Impact factor: 3.288 RSC)
WORKING PAPERS
  • Development of new means to enhance the performance of Kohonen Self-Organizing map - Vijaya Prabhagar. M., and Punniyamoorthy, M. Progress in Artificial Intelligence. (Under review) (2021) (ESCI, Scopus, Springer)
  • A new variant of Agglomerative Clustering Algorithm: An Application to Rate Banks - Hari Hara Krishna kumar, Punniyamoorthy M, Vijaya Prabhagar M, Lavanya V. Journal of Business Performance Management. (Under Review) (2021) (ESCI & Scopus)
  • Influence of new seed and performance criteria in proposed rough k-means clustering - Vijaya Prabhagar. M. Advances in Data Analysis and Classification (Under Review) (2021)(SCIE; Impact Factor: 1.603, Springer
PROJECTS
  • 2014 – 2015 - Optimization process parameters for Graphene quantum dots coated with a dye-sensitized solar cell using the Taguchi method (8 months Internship as Project Student in CSIR-CECRI Karaikudi.
  • 2012 – 2013 - Experimental Investigation on Performance of a Single Cylinder Diesel Engine in Dual Fuel (Hydrogen-Diesel) Mode (6 months Internship as Project Student in CSIR-CECRI Karaikudi

Contact Details

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