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
Dr.Pattaramon Vuttipittayamongkol
Deputy Dean/ Lecturer
Tel: +66 (0) 5391 6762
E-mail: pattaramon.vut@mfu.ac.th
Education
- Ph.D Computer Science, Robert Gordon University, UK
- M.Sc. Electrical Engineering, University of Southern California, USA
- B.Sc. Electrical Engineering, University of Illinios, USA
Speciallization
- Data Analytics
- Machine Learning
- Imbalanced Data Classification
Awards/Publications
Improved Overlap-based Undersampling for Imbalanced Dataset Classification with Application to Epilepsy and Parkinson’s Disease, International Journal of Neural Systems, 2020, https://www.worldscientific.com/doi/abs/10.1142/S0129065720750027
Improved Overlap-based Undersampling for Imbalanced Dataset Classification with Application to Epilepsy and Parkinson’s Disease, International Journal of Neural Systems, 2020, https://rgu-repository.worktribe.com/output/940589/improved-overlap-based-undersampling-for-imbalanced-dataset-classification-with-application-to-epilepsy-and-parkinsons-disease
Overlap-Based Undersampling Method for Classification of Imbalanced Medical Datasets, 2020, Springer, https://link.springer.com/chapter/10.1007/978-3-030-49186-4_30
Neighbourhood-based undersampling approach for handling imbalanced and overlapped data, Information Sciences, Jan 2020, https://www.sciencedirect.com/science/article/pii/S0020025519308114
Overlap-Based Undersampling for Improving Imbalanced Data Classification, International Conference on Intelligent Data Engineering and Automated Learning. Springer, Cham., 2018, https://link.springer.com/chapter/10.1007/978-3-030-03493-1_72