Kittisak Kerdprasop

สาขาวิชาวิศวกรรมคอมพิวเตอร์
อาคารวิชาการ 1 ชั้น 4 ห้อง CPE09
+66 4422 4349

kerdpras@sut.ac.th

0000-0002-0323-908X
Google Scholar

Kittisak Kerdprasop, Ph.D.

ดร.กิตติศักดิ์ เกิดประสพ

Associate Professor

รองศาสตราจารย์

Kittisak Kerdprasop is an associate professor at the School of Computer Engineering, SUT. He received his bachelor degree in Mathematics from Srinakarinwirot University, Thailand, in 1986, MS in computer science from the Prince of Songkla University, Thailand, in 1991 and Ph.D. in computer science from Nova Southeastern University, U.S.A., in 1999.

Qualifications

  • 1999 Ph.D. in Computer Science, Nova Southeastern University, U.S.A.
  • 1989 M.Sc. in Computer Science, Prince of Songkla University, Thailand
  • 1986 B.Ed. in Mathematics, Srinakharinwirot University, Thailand

Career

  • 2006–present Associate Professor, Suranaree University of Technology, Thailand

Teaching

Academic Year 2024
Term 1

  • ENG23 3015 Machine Learning Fundamentals (previously, 523315)
  • ENG23 3051 Formal Method and Computability (previously, 523351)
  • ENG23 4080 Computer Engineering Project (previously, 523480)
  • ENG23 1001 Computer Programming I (previously, 523101)
  • ENG23 2001 Computer Programming II (previously, 523201)

Term 2

  • ENG23 1001 Computer Programming I (previously, 523101)
  • ENG23 4011 Artificial Intelligence in Applications (previously, 523411)
  • ENG23 3015 Machine Learning Fundamentals (previously, 523315)
  • ENG23 2001 Computer Programming II (previously, 523201)
  • ENG23 4080 Computer Engineering Project (previously, 523480)

Term 3

  • 523411 Artificial Intelligence in Applications
  • 523315 Machine Learning Fundamentals

Academic Year 2023
Term 1

  • ENG23 3015 Machine Learning Fundamentals (previously, 523315)
  • ENG23 3051 Formal Method and Computability (previously, 523351)
  • ENG23 4080 Computer Engineering Project (previously, 523480)
  • 575585 Telecommunication and Computer Engineering Doctoral Seminar III
  • 575934 Research-Oriented Machine Learning

Term 2

  • ENG23 3015 Machine Learning Fundamentals (previously, 523315)
  • ENG23 4011 Artificial Intelligence in Applications (previously, 523411)
  • ENG23 4080 Computer Engineering Project (previously, 523480)
  • 575833 Advanced Deep Learning

Term 3

  • ENG23 4080 Computer Engineering Project (previously, 523480)

Interests

  • Machine Learning
  • Deep Learning
  • Artificial Intelligence
  • Computer technology

Publications

Research metrics
Source: OpenAlex · Updated 25 Oct 2026
Publications
143
51% free to read
Citations
1,198
759 in 2021–2025
h-index ih = จำนวนผลงานมากที่สุดที่แต่ละชิ้นถูกอ้างอิงอย่างน้อย h ครั้ง เช่น h-index 4 คือมี 4 ผลงานที่ถูกอ้างอิงอย่างน้อย 4 ครั้ง
15
 
i10-index iจำนวนผลงานที่ถูกอ้างอิงอย่างน้อย 10 ครั้ง
24
 
Citations per yearTimes this researcher's works were cited, by year
34 citations
2017
35 citations
2018
72 citations
2019
105 citations
2020
151 citations
2021
157 citations
2022
191 citations
2023
156 citations
2024
104 citations
2025
44 citations
2026 (to Oct)
Publications per yearWorks published, by year
9 publications
2017
8 publications
2018
13 publications
2019
9 publications
2020
5 publications
2021
2 publications
2022
6 publications
2023
1 publications
2024
2 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*440
20251042
20241561
20231916
20221572
20211515
20201059
20197213
2018358
2017349

Showing 10 of 143 publications

  1. Forecasting CO2 Emissions in Industrial Sector Using Time Series and Machine Learning Modeling MethodsNittaya Kerdprasop, Kittisak Kerdprasop, Kacha Chansilp, 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, et al.Book chapter Advances in transdisciplinary engineering · DOI ↗
  3. Truck Dumper Control System with Safety Unit Using Real-Time Deep LearningNittaya Kerdprasop, Apirak Worrakantapon, Paradee Chuaybamroong, Kittisak KerdprasopJournal article International Journal of Engineering and Technology · DOI ↗ · Full text
  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. Smoke Detection with Ensemble ModelingPongsakorn Teerarassamee, Ratiporn Chanklan, Kittisak Kerdprasop, Nittaya KerdprasopJournal article International Journal of Modeling and Optimization · DOI ↗ · Full text
  6. PM2.5 Forecasting Model based on Linear and Non-linear Hybrid AlgorithmAnupong Banjongkan, Nittaya Kerdprasop, Anusara Hirunyawanakul, Kittisak KerdprasopConference International Conference on Knowledge and Smart Technology · DOI ↗ · Cited by 2
  7. Deep Learning and Machine Learning Models to Predict Energy Consumption in Steel IndustryKittisak Kerdprasop, Nittaya Kerdprasop, Paradee ChuaybamroongJournal article International Journal of Machine Learning · DOI ↗ · Full text · Cited by 11
  8. Renewable Energy Forecasting with Hybrid Nonlinear Model (ANFIS): Case Study of Wind Speed in ThailandAnupong Banjongkan, Nittaya Kerdprasop, Kittisak KerdprasopJournal article International Journal of Smart Grid and Clean Energy · DOI ↗ · Full text
  9. Data Balancing and Aggregation Strategy to Predict Yield in Hard Disk Drive ManufacturingNittaya Kerdprasop, Anusara Hirunyawanakul, Paradee Chuaybamroong, Kittisak KerdprasopJournal article International Journal of Machine Learning · DOI ↗ · Full text
  10. Food Production Forecasting with Time Series and Ensemble Modeling MethodsKittisak Kerdprasop, Paradee Chuaybamroong, Nittaya KerdprasopConference Artificial Intelligence and Cloud Computing Conference (AICCC) · DOI ↗ · Full text · Cited by 2