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Worapan Kusakunniran
PeerJ Author & Reviewer
550 Points

Contributions by role

Author 505
Reviewer 45

Contributions by subject area

Artificial Intelligence
Computer Vision
Data Mining and Machine Learning
Bioinformatics
Computational Biology
Human-Computer Interaction

Worapan Kusakunniran

PeerJ Author & Reviewer

Summary

Worapan Kusakunniran received the B.Eng. degree in computer engineering from the University of New South Wales (UNSW), Sydney, Australia, in 2008, and the Ph.D. degree in computer science and engineering from UNSW, in cooperation with the Neville Roach Laboratory, National ICT Australia, Kensington, Australia, in 2013. He is currently a Lecturer with the Faculty of Information and Communication Technology, Mahidol University, Nakhon Pathom, Thailand. He is the author of several papers in top international conferences and journals. His current research interests include biometrics, pattern recognition, medical image processing, computer vision, multimedia, and machine learning.

Kusakunniran served as a Program Committee Member for many international conferences and workshops. Also, he has served as a Reviewer for several international conferences and journals, such as the International Conference on Pattern Recognition, the IEEE International Conference on Image Processing, the IEEE International Conference on Advanced Video and Signal based Surveillance, the Pattern Recognition, the IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNET- ICS, PART B: CYBERNETICS, the IEEE TRANSACTIONS ON IMAGE PROCESSING, the IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, and the IEEE SIGNAL PROCESSING LETTERS. He was a recipient of the ICPR Best Biometric Student Paper Award in 2010, and also a winner of several national and international innovation contests.

Artificial Intelligence Computer Vision Data Mining & Machine Learning

Past or current institution affiliations

Mahidol University

Work details

Assoc. Prof. Dr.

Mahidol University
Faculty of Information and Communication Technology
Lecturer

Websites

  • Google Scholar
  • Facebook
  • Worapan Homepage

PeerJ Contributions

  • Articles 5
November 22, 2024
A comprehensive review of gait analysis using deep learning approaches in criminal investigation
Sai Thu Ya Aung, Worapan Kusakunniran
https://doi.org/10.7717/peerj-cs.2456
July 11, 2022
A retrospective study of 3D deep learning approach incorporating coordinate information to improve the segmentation of pre- and post-operative abdominal aortic aneurysm
Thanongchai Siriapisith, Worapan Kusakunniran, Peter Haddawy
https://doi.org/10.7717/peerj-cs.1033
March 30, 2022
Multi-level pooling encoder–decoder convolution neural network for MRI reconstruction
Sarattha Karnjanapreechakorn, Worapan Kusakunniran, Thanongchai Siriapisith, Pairash Saiviroonporn
https://doi.org/10.7717/peerj-cs.934
December 10, 2021
A 3D deep learning approach to epicardial fat segmentation in non-contrast and post-contrast cardiac CT images
Thanongchai Siriapisith, Worapan Kusakunniran, Peter Haddawy
https://doi.org/10.7717/peerj-cs.806
March 1, 2021
Gait recognition using a few gait frames
Lingxiang Yao, Worapan Kusakunniran, Qiang Wu, Jian Zhang
https://doi.org/10.7717/peerj-cs.382