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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.Pattaramon Vuttipittayamongkol

Asst. Prof. 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

 

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