Direct to Dean

Supaporn Bunrit

สาขาวิชาวิศวกรรมคอมพิวเตอร์
อาคารวิชาการ 1 ชั้น 4 ห้อง CPE06
+66(0) 4422 4422

sbunrit@g.sut.ac.th

0009-0008-9136-2678
Google Scholar

Download CV

Supaporn Bunrit, Ph.D.

ดร.สุภาพร บุญฤทธิ์

Lecturer

อาจารย์

Supaporn Bunrit is a lecturer at the school of computer engineering, Sranaree University of Technology (SUT). She received her bachelor’s degree in science (Mathematics) from Kasetsart University, Thailand, master’s degree in science (Computer Science) from Chulalongkorn University, Thailand, and doctoral degree in Computer Engineering and Telecommunication from Suranaree University Technology, Thailand. Her research of interest includes Artificial Neural Network, Deep Learning, Machine Learning, Digital Image Processing, Computer Vision, and Time Series Analysis.

Qualifications

  • 2019 Ph.D. in Telecommunication and Computer Engineering, Suranaree University of Technology, Thailand
  • 2001 M.Sc. in Computer Science, Chulalongkorn University, Thailand
  • 1997 B.Sc. in Mathematics, Kasetsart University, Thailand

Career

  • 2007–present Lecturer, Suranaree University of Technology, Thailand
  • 2006–2007 Special Lecturer, Suranaree University of Technology, Thailand

Teaching

Academic Year 2024
Term 1

  • ENG23 2075 Computer Mathematics (previously, 523275)
  • ENG23 3001 Computer Statistics (previously, 523301)
  • ENG23 4014 Artificial Neural Networks (previously, 523414)
  • ENG23 4080 Computer Engineering Project (previously, 523480)

Term 2

  • ENG23 2031 Data Structures And Algorithms (previously, 523231)
  • ENG23 4018 Deep Learning (previously, 523418)
  • ENG23 4080 Computer Engineering Project (previously, 523480)
  • ENG23 4081 Special Problems in Computer Engineering I (previously, 523481)

Term 3

  • ENG23 2076 Computer Architecture and Organization (previously, 523276)
  • 523452 Digital Image Processing
  • ENG23 4080 Computer Engineering Project (previously, 523480)

Academic Year 2023
Term 1

  • ENG23 2075 Computer Mathematics (previously, 523275)
  • ENG23 3001 Computer Statistics (previously, 523301)
  • ENG23 4014 Artificial Neural Networks (previously, 523414)
  • ENG23 4080 Computer Engineering Project (previously, 523480)
  • 575571 Emerging Technologies in Telecommunication and Computer Engineering

Term 2

  • ENG23 2031 Data Structures And Algorithms (previously, 523231)
  • ENG23 4080 Computer Engineering Project (previously, 523480)
  • ENG23 4081 Special Problems in Computer Engineering I (previously, 523481)

Term 3

  • ENG23 2076 Computer Architecture and Organization (previously, 523276)
  • 523452 Digital Image Processing
  • ENG23 4080 Computer Engineering Project (previously, 523480)

Interests

  • Artificial Neural Network
  • Deep Learning
  • Machine Learning
  • Digital Image Processing
  • Computer Vision
  • Time Series Analysis
  • AI
  • Image, Speech, and Signal Processing
  • Time Series Analysis

Publications

Research metrics
Source: OpenAlex · Updated 24 Oct 2026
Publications
13
69% free to read
Citations
199
174 in 2021–2025
h-index ih = จำนวนผลงานมากที่สุดที่แต่ละชิ้นถูกอ้างอิงอย่างน้อย h ครั้ง เช่น h-index 4 คือมี 4 ผลงานที่ถูกอ้างอิงอย่างน้อย 4 ครั้ง
5
 
i10-index iจำนวนผลงานที่ถูกอ้างอิงอย่างน้อย 10 ครั้ง
4
 
Citations per yearTimes this researcher's works were cited, by year
1 citations
2017
1 citations
2018
3 citations
2019
13 citations
2020
44 citations
2021
31 citations
2022
44 citations
2023
37 citations
2024
18 citations
2025
7 citations
2026 (to Oct)
Publications per yearWorks published, by year
0 publications
2017
1 publications
2018
3 publications
2019
1 publications
2020
0 publications
2021
0 publications
2022
1 publications
2023
0 publications
2024
3 publications
2025
0 publications
2026 (to Oct)
2026 is a partial year (to October). Figures from OpenAlex may differ from Google Scholar or Scopus.
View as table
YearCitationsPublications
2026*70
2025183
2024370
2023441
2022310
2021440
2020131
201933
201811
201710

Showing 10 of 13 publications

  1. Forecasting CO2 Emissions in Industrial Sector Using Time Series and Machine Learning Modeling MethodsNittaya Kerdprasop, Kittisak Kerdprasop, Kacha Chansilp, … Supaporn Bunrit, et al.Book chapter Advances in transdisciplinary engineering · DOI ↗
  2. Multi-Output Classification for Predicting Stock Market Trend in the Electronic Sector of ThailandNittaya Kerdprasop, Kittisak Kerdprasop, Kacha Chansilp, … Supaporn Bunrit, et al.Book chapter Advances in transdisciplinary engineering · DOI ↗
  3. A Novel Deep Learning Framework for Cactus Species ClassificationSarunya Kanjanawattana, Bhuwadol Sriton, Peeranut Sangkhawasee, … Supaporn Bunrit, et al.Conference International Conference on Computing and Artificial Intelligence (ICCAI) · DOI ↗
  4. Systematic Configuration for Hyperparameters Optimization in Transferring of CNN Model to Disaster Events Classification from UAV ImagesSupaporn Bunrit, V Nittaya Kerdprasop, Kittisak KerdprasopJournal article Journal of Image and Graphics · DOI ↗ · Cited by 3
  5. Improving the Representation of CNN Based Features by Autoencoder for a Task of Construction Material Image ClassificationSupaporn Bunrit, Nittaya Kerdprasop, Kittisak KerdprasopJournal article Journal of Advances in Information Technology · DOI ↗ · Cited by 54
  6. Dermatological Classification Using Deep Learning of Skin Image and Patient Background KnowledgeKittipat Sriwong, Supaporn Bunrit, Kittisak Kerdprasop, Nittaya KerdprasopJournal article International Journal of Machine Learning and Computing · DOI ↗ · Full text · Cited by 31
  7. Text-Independent Speaker Identification Using Deep Learning Model of Convolution Neural NetworkSupaporn Bunrit, Thuttaphol Inkian, Nittaya Kerdprasop, Kittisak KerdprasopJournal article International Journal of Machine Learning and Computing · DOI ↗ · Full text · Cited by 66
  8. Evaluating on the Transfer Learning of CNN Architectures to a Construction Material Image Classification TaskSupaporn Bunrit, Nittaya Kerdprasop, Kittisak KerdprasopJournal article International Journal of Machine Learning and Computing · DOI ↗ · Full text · Cited by 32
  9. Multiresolution Analysis Based on Wavelet Transform for Commodity Prices Time Series ForecastingSupaporn Bunrit, Nittaya Kerdprasop, Kittisak KerdprasopJournal article International Journal of Machine Learning and Computing · DOI ↗ · Full text · Cited by 7
  10. Artificial Neural Networks and Time Series Models for Electrical Load AnalysisRonnachai Chuentawat, Supaporn Bunrit, Chanintorn Ruangudomsakul, et al.Conference Lecture notes in computer science · Cited by 5