Home>Dr. Sarayut Julkaew

Dr. Sarayut Julkaew

Dr. Sarayut Julkaew

Contact

 
  • +66 (0)74 289411
  • sarayut.j@psu.ac.th

Qualification

 
  • Doctor of Philosophy in Data Science, Prince of Songkla University, Hat yai, Songkhla, Thailand
  • Master of Science in Management of Information Technology, Prince of Songkla University, Hat yai, Songkhla, Thailand
  • Bachelor of Science in Information and Communication Technology, Prince of Songkla University, Hat yai, Songkhla, Thailand

Experience

 
  • Lecturer Internationcal College, Prince of Songkla University, Hat Yai Campus, Songkhla, Thailand
  • Software Developer Khunying Long Athakravisunthorn Learning Resources Center, Prince of Songkla University, Hat Yai Campus, Songkhla, Thailand
  • Teacher Assistant Faculty of Science, Department of Information Communication and Technology, Prince of Songkla University, Hat Yai Campus, Songkhla, Thailand
  • Research Assistant Asian Transportation Research Society (ATRANS), Bangkok, Thailand
  • System Programmer CSI Ltd., Bangkok, Thailand

Research Interest and Areas of Expertise

 
  • Digital Health
  • Machine Learning/Deep Learning
  • Artificial Intelligence
  • Cloud Computing, Big Data Analytics
  • Web/Mobile Application
  • New Media Technology
  • Internet of Things (IoT)

Publications

 
  • Julkaew S, Wongsirichot T, Damkliang K, Sangthawan P. Improving accuracy of vascular access quality classification in hemodialysis patients using deep learning with K highest score feature selection. Journal of International Medical Research. 2024;52(4). doi:10.1177/03000605241232519
  • Julkaew, S., Wongsirichot, T., Damkliang, K. et al. DeepVAQ : an adaptive deep learning for prediction of vascular access quality in hemodialysis patients. BMC Med Inform Decis Mak 24, 45 (2024). doi.10.1186/s12911-024-02441-2

Conferences

 
  • Julkaew S., Damkliang K., Sudkhaw T., Jankao T. and Thitagarn W., “AI-Enabled Health Recommendation Web Application for Tongue Image Diagnosis Based on Traditional Thai Medicine,” 2025 9th International Conference on Information Technology (InCIT), Phuket, Thailand.
  • Julkaew, S. & Luathep, P. (2015). “A Study of Arrival Time Prediction Models of Public Bus System in Prince of Songkla University” presented at the 10th National Transportation Conference, December 18, 2015, at The Empress Hotel, Chiang Mai, Thailand.
  • Julkaew, S. & Luathep, P. (2015). “Development of Bus Location Identification System in Prince of Songkla University,” presented at the 8th ATRANS Symposium, August 21, 2015, at Swissôtel Le Concorde, Bangkok, Thailand.