​Dr Prayook JETESIKTAT

​Dr Prayook JETESIKTAT



 
Research Fellow
Email: prayoo​k@ntu.edu.sg
Education

Ph.D. from Nanyang Technological University, Singapore (2014-2019)
B.Eng. with First Class Honours (Computer Engineering) from Kasetsart University, Thailand (2008-2011)

Biography

Since I was young, the thing that amazed me the most is a computer. What mysteries cause it to work? This curiosity pushed me to start computer programming since I was in junior high school. I enjoy programming and realized that it can create so many cool things. However, my original curiosity was not yet satisfied. Therefore, I decide to go down the rabbit hole in a computer engineering degree to see what causes a program to work. Just right after my first curiosity was satisfied, new waves of artificial intelligence and machine learning start to solve difficult problems from a broad range of fields one-by-one. My curiosity just raised again. What cause it to work? How to make it works better? To crack this mystery, it seems to take a lot of effort for researchers around the world, including me.

​​​​​Research Interest
 Machine Learning, Self-Supervised / Unsupervised Learning, Representation Learning

 

​​​Project
  • Fundamental ability extraction from human motion capture data (Ongoing).
  • Data-driven anomaly detection in repetitive movements done by stroke patients.
  • Personalized markerless upper-body tracking with a depth camera and wrist-worn IMUs.
  • A wrist-worn fall detector.

 

Publication

Conference

  • P. Jatesiktat, A. Dollaporn, and W. T. Ang, “Unsupervised phase learning and extraction from repetitive movements,” in 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018, pp. 227-230.
  • P. Jatesiktat, A. Dollaporn, and W. T. Ang, “Personalized markerless upper-body tracking with a depth camera and wrist-worn inertial measurement units,” in 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018, pp. 1-6.
  • P. Jatesiktat, M. J. Foo, G. M. Lim, and W. T. Ang “Sdf-net: Real-time rigid object tracking using a deep signed distance network,” in 2018 International Conference on Computational Science (ICCS), 2018, pp. 28–42.
  • P. Jatesiktat and W. T. Ang, “An elderly fall detection using a wrist-worn accelerometer and barometer,” in 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), July 2017, pp.