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School of Information Technology

The School focuses on research in a broad range of ICT applications including: learning, business, agriculture, health and medicine. With particular interest in high impact and practical research, major research topics include: PBL, information engineering, AI, assistive technology for the elderly and the disabled, cloud services, ambient intelligence, embedded systems, and social network integration.



List of All Study Programmes

  • Bachelor’s Degree
    • Computer Engineering
    • Digital and Communication Engineering
    • Digital Technology for Business Innovation
    • Multimedia Technology and Animation
    • Software Engineering
    • Computer Science and Innovation
  • Master’s Degree
    • Computer Engineering
    • Digital Transformation Technology
  • Doctoral Degree
    • Computer Engineering

 

Asst. Prof. Dr.Nattapol Aunsri

Asst. Prof. Dr.Nattapol Aunsri

Lecturer

Tel: +66 (0) 5391 6765
E-mail: nattapol.aun@mfu.ac.th

Education

  • Ph.D.        Mathematical Sciences, New Jersey Institute of Technology, USA
  • M.Eng.      Electrical Engineering, Chulalongkorn University, Thailand
  • B.Eng.      Electrical Engineering, Khon Kaen University, Thailand
Speciallization

  • Ocean Acoustics
  • Bayesian Estimation and Filtering
  • Signal Processing
  • Biomedical Signal Processing
  • Mathematical and Statistical Modeling
Awards/Publications

S. Arwatchananukul, K. Kirimasthong, and N. Aunsri, A New Paphiopedilum Orchid Database and Its Recognition Using Convolutional Neural Network, Wireless Personal Communications, Article in press, doi.org/10.1007/s11277-020-07463-3

P. Taveeapiradeecharoen and N. Aunsri, A Bayesian Approach for Dynamic Variation of Specific Sectors in Stock Exchange: A Case Study of Stock Exchange Thailand (SET) Indexes, Wireless Personal Communications, Article in press, doi.org/10.1007/s11277-020-07217-1

S. Saenmuang and N. Aunsri, A New Spinach Respiratory Prediction Method Using Particle Filtering Approach. IEEE Access, 7(1) (2019), pp. 131559-131566.

N. Aunsri, and K. Chamnongthai. Particle filtering with adaptive resampling scheme for modal frequency identification and dispersion curves estimation in ocean acoustics. Applied Acoustics; 154 (2019), pp. 90-98.

P.Taveeapiradeecharoen, K. Chamnongthai, and N. Aunsri, Bayesian Compressed Vector Autoregression for Financial Time-series Analysis and Forecasting, IEEE Access, 7(1) (2019), pp. 16777-16786.

S. Rattarom, S. Uttama, and N. Aunsri, Model Construction and Validation in Low-cost Interpolation-Based Gaze Tracking System, Engineering Letters, 27(1) (2019), pp. 87-96.

S. Hunta, T. Yooyativong, and N. Aunsri, A novel integrated action crossing method for drug-drug interaction prediction in non-communicable diseases, Computer Methods and Programs in Biomedicine, 163 (2018), pp.183-193.

Z.-H. Michalopoulou and N. Aunsri, Environmental inversion using dispersion tracking in a shallow water environment, Journal of Acoustical Society of America, 143(3) (2018), pp. EL188-EL193.

S. Saenmuang, A. Sirijariyawat, and N. Aunsri, The effect of moisture content, temperature and variety on specific heat of edible-wild mushrooms: Model construction and analysis, Engineering Letters, 25(4) (2017), pp.446-454.

C. Kamyod, R.H. Nielsen, N.R. Prasad, R. Prasad and N. Aunsri, End-to-End Reliability and Optimization of Intra and Inter-Domain IMS-based Communication Networks, Journal of Cyber Security, 5(3) (2017), pp.233-256

Contact School


School of Information Technology

Mae Fah Luang University

333 Moo1, Thasud, Muang, Chiang Rai 57100
0 5391 6741
0 5391 6743
itschool@mfu.ac.th
http://itschool1.mfu.ac.th