lalita.nar@mahidol.edu
02 889 2138 ext. 6253

Asst. Prof. Lalita Narupiyakul, Ph.D.

Director of Computer Engineering (Undergraduate International Program)

Teaching Course

  • EGCO 321 Software Engineering
  • EGCO 427 Web Programming
  • EGCO 428 Mobile Programming

Education

  • Doctor of Philosophy (Computer Science)
    Dalhousie University, Halifax, Nova Scotia, Canada, 2007

  • Doctor of Philosophy (Computer and Electrical Engineering – Double degree program)
    King Mongkut’s University of Technology Thonburi (KMUTT), Bangkok, Thailand, 2007

  • Master of Engineering (Computer Engineering)
    King Mongkut’s University of Technology Thonburi (KMUTT), Bangkok, Thailand, 1999

  • Bachelor of Science (Mathematics)
    Mahidol University, Bangkok, Thailand, 1997

Publication

Recent Papers
[1] Lalita Narupiyakul* and Waressara Weerawat, “Train Approaching Information Platform and Service System”, The 6th Thailand Rail Academic Symposium (TRAS2019), 21-22 December 2019, Thailand.
[2] J. Chinrungrueng, L*. Kovavisaruch, L. Narupiyakul and K. Wongpatikaseree (2018), “Open Traffic Data Exchange and Collaborative Platform,” In IEEE Proceeding of 2018 International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP), Pattaya, Thailand, 2018, pp. 1-4.
[3] Srisrisawang N., Narupiyakul L.* (2019) Sleep Posture Recognition for Bedridden Patient. In: Kim K., Kim H. (eds) Mobile and Wireless Technology 2018. ICMWT 2018. Lecture Notes in Electrical Engineering, vol 513. Springer, Singapore
[4] Narupiyakul L., Sanghlao S., Yimwadsana B.* (2018) An Indoor Navigation System for the Visually Impaired Based on RSS Lateration and RF Fingerprint. In: Mokhtari M., Abdulrazak B., Aloulou H. (eds) Smart Homes and Health Telematics, Designing a Better Future: Urban Assisted Living. ICOST 2018. Lecture Notes in Computer Science, vol 10898. Springer, Cham

Research Interest

  • Natural Language Processing
  • Healthcare Web Services and Mobile Applications
  • Biobank Information Management System
  • Mobile Digital Forensic