dean

Name

  • Dr. Chetneti Srisa-an (Associate Professor)

    • Education

  • Ph.D. Computer Science. Illinois Institute of Technology, U.S.A.
  • M.B.A. Loyola University, U.S.A.
  • MS.CS. Computer Science Illinois Institute of Technology, U.S.A.
  • B.Eng. Electrical Engineering. Chiang mai University, Thailand.

    • Position

  • Vice President for Innovation
  • Dean Dean, College of Digital Innovation Technology

    • Contract

  • Telephone. 02 997 2200 ext.4060
  • Fax. 02 997 2200 ext.4076
  • Mobile 08 550 15245
  • email chetneti@rsu.ac.th
  • www.it.rsu.ac.th

    • Publication

  • Srisa-An, C. (2021, August). Guideline of collinearity-Avoidable regression models on time-series analysis. In 2021 2nd International Conference on Big Data Analytics and Practices (IBDAP) (pp. 28-32). IEEE.
  • Srisa-an, C. (2021). Location-Based Mobile Community Using Ants-Based Cluster Algorithm. International Journal for Applied Information Management, 1(1), 36-41.
  • Srisa-An, C., & Yongsiriwit, K. (2019, November). Applying Machine Learning and AI on Self Automated Personalized Online Learning. In FSDM (pp. 137-145).
  • Srisaan, C. (2016). A classification of internet pornographic images. International Journal of Electronic Commerce Studies, 7(1), 95-104.
  • Srisa-an, C. (2015, June). Nude image classification using rough set analysis. In 2015 12th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) (pp. 1-5). IEEE.
  • Srisa-an, C. (2014). Applying Spanning Tree Graph Theory for Automatic Database Normalization. International Journal of Electronics and Communication Engineering, 8(5), 822-826.
  • Chimmanee, S., Veeraprasit, T., & Srisa-An, C. (2014). A performance evaluation of vulnerability detection: NetClarity Audito, Nessus, and Retina. International Journal of Computer Science and Network Security (IJCSNS), 14(3), 34.