Lecturers

Dr. Praisan Padungweang
ดร. ไพรสันต์ ผดุงเวียง

Present Position :

  • Lecturer, School of Information Technology


King Mongkut's University of Technology Thonburi.


Email : praisan.pad@sit.kmutt.ac.th
Tel : 0-2470-9824
Academic Background
  • Ph.D. (Computer Science)
    2012, Chulalongkorn University, Thailand.
  • M.Sc. (Information Technology)
    2006, Khon Kaen University, Thailand.
  • B.Sc. (Physics)
    2001, Khon Kaen University, Thailand.

Research Interests
  • Computer Vision
  • Image and Signal Processing
  • Bioinformatics
  • Machine Learning
  • Neural Networks
  • Pattern Recognition
  • Data Mining

Publications
  • Piyapong Huayhongthong, Siriyakorn Rerk-u-suk, Songwit Booddee, Praisan Padungweang, and Kittipong Warasup,2020, , International Conference on Computing and Information Technology, 16th (IC2IT) , 2020, : May 14-15, 2020, Bangkok, Thailand, Vol. 1149, pp 190-198
  • Sakchai Samerbut, Praisan Padungweang and Worarat Krathu,2020, Relevant Feature Selection for Predicting the Severity of Motorcycle Accident in Thailand, International Conference on Advances in Information Technology, 11th (IAIT) , 2020, : Jul 01-03, 2020, Bangkok, Thailand, pp.1-5
  • Issaret Prachitmutita, Praisan Padungweang and Olarn Rojanapornpun,2020, A Comparison of Destination Clustering using Density-based Algorithm on The Trip Planning Optimization for Last-Mile Parcel Delivery, International Conference on Advances in Information Technology, 11th (IAIT) , 2020, : Jul 01-03, 2020, Bangkok, Thailand, pp1-6
  • ปาณิสรา พรหมดี, พรชัย มงคลนาม, และไพรสันต์ ผดุงเวียง,2020, ระบบตอบโต้เพื่อเพิ่มกิจกรรมทางสังคมและการใช้ชีวิตประจำวันของผู้สูงอายุ (The Conversational Dialogs to Improve Social and Daily Life Activities for the Elderly), National Conference on Computing and Information Technology (NCCIT) , 2020, : 14 - 15 พฤษภาคม 2563 , พัทยา ชลบุรี, (Virtual Presentation System)
  • Wachiravit Modekrua, Praisan Padungweang, Worarat Krathu,2019, การให้คะแนนความสำคัญทางอ้อมสำหรับการเลือกคุณลักษณะแบบไม่มีผู้สอน An unsupervised feature selection by backpropagated weighting the non-Gaussianity score of independence components, International Conference on Information Technology and Electrical Engineering, 11th (ICITEE2019), :Oct10-11, 2019, Chonburi, Thailand
  • Supphawarich Thanarattananakin, Praisan Padungweang, Worarat Krathu,2019, ขั้นตอนวิธีการวิเคราะห์การแยกสำหรับการประเมินกลุ่มข้อมูล A Density Discriminant Index for Cluster Validation, International Conference on Information Technology and Electrical Engineering, 11th (ICITEE2019), :Oct10-11, 2019, Chonburi, Thailand
  • Wutthipong Kongburan, Praisan Padungweang, Worarat Krathu, Jonathan H.Chan,,2019, Enhancing metabolic event extraction performance with multitask learning concept, Journal of Biomedical Informatics,, https://doi.org/10.1016/j.jbi.2019.103156, ISSN: 15320464, 15320480, Elsevier, Vol. 93, Mar 19,2019
  • Amornpan Phornchaicharoen, Praisan Padungweang,2019, Face Recognition using Transferred Deep Learning for Feature Extraction, International Conference on Digital Arts, Media and Technology and The 2nd ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering, 2nd (02019), Jan 30 - Feb2, 2019, Nan, Thailand, pp.304-309
  • Amontep Wijitcharoen, Bunthit Watanapa, Praisan Padungweang,2018, A Framework for Stock Selection Using Association Rules on Combined Cash Flow and Accrual Financial Indicators, Joint Symposium on Computational Intelligence, (JSCI2018), Sep 7-9, 2018, Bangkok, Thailand
  • Amontep Wijitcharoen, Praisan Padungweang, Bunthit Watanapa and Sanit Sirisawatvatana,2018, Stock Selection Using Association Rules on Cash Flow and Accrual Financial Indicators, International Conference on Advances in Information Technology, 10th (IAIT2018), Dec 20, 2018, Bangkok Thailand
  • Debajyoti Pal, Tuul Triyason, and Praisan Padungweang,2018, Big Data in Smart-Cities: Current Research and Challenges, Indonesian Journal of Electrical Engineering and Informatics,Institute of Advanced Engineering and Science, DOI: 10.11591/ijeei.v6i4.543, ISSN: 2089-3272, Indonesian Journal, Vol.6,No.4, Dec 6 - 7, 2018, Indonesia, PP.351-360
  • Jitrawadee Rapeepongpan, Praisan Padungweang, and Kittichai Lavangnananda,2018, Logistic Principle Component Analysis (L-PCA) for , Int. Conf. on Natural Computation, Fuzzy Systems and Knowledge Discovery, 14th (ICNC-FSKD2018), Jul 28-30, 2018, Huangshan, China
  • Issaret Prachitmutita, Noraset Pojjanasuksakul, Wachirawit Aittinonmongkol,Montri Supattatham, Praisan Padungweang,2018, Auto-scaling microservices on IaaS under SLAs with cost effective Framework, Int. Conf. on Advanced Computational Intelligence, 10th (ICACI2018), Mar 29–31, 2018, Xiamen, China
  • Wutthipong Kongburan, Praisan Padungweang, Worarat Krathu, Jonathan Chan,2017, Network Analysis of inter-Organizational Success Factor Relationships, Int. Symposium on Visual Information Communication and Interaction, 10th (VINCI2017), Aug 14-16, 2017, Bangkok, Thailand, pp. 83-84
  • Raywut Ketsuwan, and Praisan Padungweang,2017, A Linear Discriminant Analysis Using Weighted Local Structure Information, Int. Joint conf. on Computer Science and Software Engineering, 14th (JCSSE2017), Jul 12-14, 2017, Nakhon Si Thammarat, Thailand
  • Panchana Kakabutr, Kullanan Sae Chen, Viewpaka Wangvisavawit, Praisan Padungweang and Olarn Rojanapornpun,2017, Dog Cough Sound Classification Using Artificial Neural Network and the Selected Relevant Features from Discrete Wavelet Transform, Int. Conf. on Knowledge and Smart Technology, 9th (KST-iCon2017), Feb 2017, Chonburi, Thailand, p.121-125
  • Supattra Niboonkit, Worarat Krathu, and Praisan Padungweang,2017, Automatic Discovering Success Factor Relationship Entities in Articles using Named Entity Recognition, Int. Conf. on Knowledge and Smart Technology, 9th (KST-iCon2017), Feb 2017, Chonburi, Thailand
  • Kongburan, W., Padungweang, P., Krathu, W., Chan, J.H.,2016, Metabolite Named Entity Recognition: A Hybrid Approach, Int. Conf. on Neural Information Processing, 23rd, Oct 16 -21, 2016, Kyoto; Japan, pp. 451-460
  • A.Wijitcharoen, B. Watanapa, P. Padungweang and W. Anantasabkit,2016, ICA-DEODA: An Indepdent Feature Extraction Model for Stock Index Forecasing, Int. Computer Science and Engineering conf., 20th, Dec 14-17, 2016, Chiangmai, Thailand
  • Wutthipong Kongburan, Praisan Padungweang, Worarat Krathu, Jonathan H.Chan,2016, Semi-Automatic Construction of Thyroid Cancer Intervention Corpus from Biomedical Abstracts, Int. Conf. on Advanced Computational Intelligence, 8th (ICACI2016), Feb 14-16, 2016, Chiang Mai, Thailand
  • Worarat Krathu, Praisan Padungweang, Chakarida Nukoolkit,2016, Data Mining Approach for Automatic Discovering Success Factors Relationship Statements in Full Text Articles, Int. Conf. on Advanced Computational Intelligence, 8th (ICACI2016), Feb 14-16, 2016, Chiang Mai, Thailand
  • Praisan Padungweang, Worrawat Engchuan, Jonathan H.Chan,2015, TNorm: An Unsupervised Batch Effects Correction Method for Gene Expression Data Classification, Int. Conf. on Neural Information Processing, 22th (ICONIP2015), Nov 9-12, 2015, Istanbul, Turkey, p.411-420

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