Sarunya Kanjanawattana

สาขาวิชาวิศวกรรมคอมพิวเตอร์
อาคารวิชาการ 1 ชั้น 4 ห้อง CPE04
+66(0) 4422 4447

sarunya.k@sut.ac.th

0000-0002-1862-0588
Google Scholar

Sarunya Kanjanawattana, Ph.D., SFHEA

ดร.ศรัญญา กาญจนวัฒนา

Assistant Professor

ผู้ช่วยศาสตราจารย์

Sarunya Kanjanawattana was born in Naknonratchasima, Thailand, in 1986. She earned a Bachelor of Engineering in computer engineering in 2008 from Suranaree University of Technology in Nakhonratchasima, Thailand, and a Master of Engineering in 2011 from Asian Institute of Technology in Pathum Thani, Thailand. In 2017, she graduated from Shibaura Institute of Technology in Tokyo, Japan, with a doctorate in functional control systems. In 2011, she became a research assistant at Thailand’s National Electronics and Computer Technology Center. The objective of her study was to identify the best solution to traffic congestion. She is currently an assistant professor in the computer engineering department at Suranaree University of Technology. Her areas of interest in study were data mining, machine learning, natural language processing, ontology, deep learning and telemedicine.

Qualifications

  • 2023 Senior Fellow of the Higher Education Academy, UK Professional Standards Framework
  • 2021 Fellow of the Higher Education Academy, UK Professional Standards Framework
  • 2017 Ph.D. in Functional Control Systems, Shibaura Institute of Technology, Japan
  • 2011 M.Eng. in Computer Engineering, Asian Institute of Technology, Thailand
  • 2008 B.Eng. in Computer Engineering, Suranaree University of Technology, Thailand

Career

  • 2021–present Assistant Rector of Strategy and Budgets, Suranaree University of Technology, Thailand
  • 2021 Head of School of Computer Engineering, Suranaree University of Technology, Thailand
  • 2020–present Assistant Professor, Suranaree University of Technology, Thailand
  • 2012–2019 Lecturer, Suranaree University of Technology, Thailand

Teaching

Academic Year 2024
Term 1

  • ENG23 3012 Knowledge Discovery and Data Mining (previously, 523312)
  • 575583 Telecommunication and Computer Engineering Doctoral Seminar I
  • 575934 Research-oriented Machine Learning
  • ENG23 1001 Computer Programming I (previously, 523101)

Term 2

  • 575584 Telecommunication and Computer Engineering Doctoral Seminar II
  • ENG23 3054 Operating Systems (previously, 523354)
  • 573716 Special Problems in Transportation
  • ENG23 2075 Computer Mathematics (previously, 523275)
  • ENG23 2001 Computer Programming II (previously, 523201)
  • ENG23 4080 Computer Engineering Project (previously, 523480)

Term 3

  • ENG23 2011 Database Systems (previously, 523211)
  • ENG23 3014 Introduction to Natural Language Processing (previously, 523314)
  • ENG23 3017 Introduction to Data Engineering

Academic Year 2023
Term 1

  • ENG23 2075 Computer Mathematics (previously, 523275)
  • ENG23 3012 Knowledge Discovery and Data Mining (previously, 523312)
  • ENG23 3017 Introduction to Data Engineering
  • ENG23 4080 Computer Engineering Project (previously, 523480)
  • 575571 Emerging Technologies in Telecommunication and Computer Engineering
  • 575592 Master Thesis Scheme A2

Term 2

  • ENG23 3054 Operating Systems (previously, 523354)
  • ENG23 4080 Computer Engineering Project (previously, 523480)
  • 575592 Master Thesis Scheme A2

Term 3

  • ENG23 2011 Database Systems (previously, 523211)
  • ENG23 3014 Introduction to Natural Language Processing (previously, 523314)
  • ENG23 4080 Computer Engineering Project (previously, 523480)
  • 575592 Master Thesis Scheme A2

Interests

  • Data Mining
  • Machine Learning
  • Natural Language Processing
  • Ontology
  • Deep Learning
  • Telemedicine

Publications

Research metrics
Source: OpenAlex · Updated 23 Oct 2026
Publications
40
63% free to read
Citations
246
189 in 2021–2025
h-index ih = จำนวนผลงานมากที่สุดที่แต่ละชิ้นถูกอ้างอิงอย่างน้อย h ครั้ง เช่น h-index 4 คือมี 4 ผลงานที่ถูกอ้างอิงอย่างน้อย 4 ครั้ง
8
 
i10-index iจำนวนผลงานที่ถูกอ้างอิงอย่างน้อย 10 ครั้ง
5
 
Citations per yearTimes this researcher's works were cited, by year
0 citations
2017
0 citations
2018
11 citations
2019
9 citations
2020
14 citations
2021
34 citations
2022
35 citations
2023
54 citations
2024
52 citations
2025
33 citations
2026 (to Oct)
Publications per yearWorks published, by year
4 publications
2017
1 publications
2018
4 publications
2019
1 publications
2020
4 publications
2021
3 publications
2022
5 publications
2023
3 publications
2024
5 publications
2025
5 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*335
2025525
2024543
2023355
2022343
2021144
202091
2019114
201801
201704

Showing 10 of 40 publications

  1. EEG-Based Gait Classification in Stroke Patients Using Deep LearningSarunya Kanjanawattana, Isaman Sangbamrung, Dulyawat Wiriyaphong, Gun BhakdisongkhramJournal article Computers · DOI ↗ · Cited by 1
  2. Rice Disease Classification Using MobileNetV2Sarunya Kanjanawattana, Piyathida Nenchoo, Chayanee Hinpha, et al.Conference International Conference on Computer Technology Applications (ICCTA) · DOI ↗
  3. A Pose-Estimation Physical Movement Training System with User-Created ContentAtima Tharatipyakul, Suporn Pongnumkul, Dulyawat Wiriyaphong, … Sarunya Kanjanawattana, et al.Conference International Conference on Artificial Intelligence in Information and Communication (ICAIIC) · DOI ↗ · Cited by 1
  4. Integration of Cloud-Based Central Telemedicine System and IoT Device NetworksParin Sornlertlamvanich, Chatdanai Phakaket, Panya Hantula, … Sarunya Kanjanawattana, et al.Journal article Computers · DOI ↗ · Full text · Cited by 4
  5. Forecasting CO2 Emissions in Industrial Sector Using Time Series and Machine Learning Modeling MethodsNittaya Kerdprasop, Kittisak Kerdprasop, Kacha Chansilp, … Sarunya Kanjanawattana, et al.Book chapter Advances in transdisciplinary engineering · DOI ↗
  6. Multi-Output Classification for Predicting Stock Market Trend in the Electronic Sector of ThailandNittaya Kerdprasop, Kittisak Kerdprasop, Kacha Chansilp, … Sarunya Kanjanawattana, et al.Book chapter Advances in transdisciplinary engineering · DOI ↗
  7. A Novel Deep Learning Framework for Cactus Species ClassificationSarunya Kanjanawattana, Bhuwadol Sriton, Peeranut Sangkhawasee, et al.Conference International Conference on Computing and Artificial Intelligence (ICCAI) · DOI ↗
  8. Application of Machine Learning for Thailand's Road Accident AnalysisPanchalee Praneetpholkrang, Sarunya KanjanawattanaJournal article International Journal of Logistics Systems and Management · DOI ↗