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
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