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Raveekiat Singhaphandu

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biography
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research focus
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selected publications

Dr. Raveekiat Singhaphandu joined CMKL University in 2025 after completing dual PhDs from Sirindhorn International Institute of Technology (SIIT), Thammasat University, and Japan Advanced Institute of Science and Technology (JAIST). Before pursuing an academic path, he worked across Thailand and Germany, with industry experience spanning a global financial information and analytics company, urban mobility, and co-founding startups in health tech, travel, and industrial computer vision. He initially joined CMKL as an adjunct faculty member and later transitioned into a full-time role within the Scalable Systems Pillar of the AICE program. His research focuses on applied software engineering, particularly the use of immersive technologies to support workforce training and operational efficiency. He is also developing computer vision systems for industrial environments, aiming to enhance the speed, usability, and reliability of tasks such as identification, inspection, and quality assurance. Outside of work, he is an outdoor enthusiast who enjoys scuba diving, hiking, swimming, running, and road cycling.

  • R. Singhaphandu, W. Pannakkong, V.-N. Huynh, and P. Boonkwan, "A Manual Assembly Virtual Training System with Automatically Generated Augmented Feedback: Using the Comparison of Digitized Operator’s Skill," IEEE Access, vol. 12, pp. 133356–133391, 2024. doi: 10.1109/ACCESS.2024.3436910.
  • R. Singhaphandu and W. Pannakkong, "A Review on Enabling Technologies of Industrial Virtual Training Systems," International Journal of Knowledge and Systems Science (IJKSS), vol. 15, no. 1, pp. 1–33, 2024. doi: 10.4018/IJKSS.352515.
  • P. Rerkjirattikal, R. Singhaphandu, V.-N. Huynh, and S. Olapiriyakul, "Job-Satisfaction Enhancement in Nurse Scheduling: A Case of Hospital Emergency Department in Thailand," in Integrated Uncertainty in Knowledge Modelling and Decision Making: 9th International Symposium (IUKM 2022), Ishikawa, Japan, Mar. 18–19, 2022, pp. 143–154. doi: 10.1007/978-3-030-98018-4_12.
  • N. Utamapongchai, S. Ngernsalung, R. Singhaphandu, and W. Pannakkong, "Enhancing Warehouse Management with AI and Computer Vision: A Case Study in a Logistics Service Company," International Scientific Journal of Engineering and Technology (ISJET), vol. 8, no. 2, pp. 38–46, 2024.
  • Applied Software Engineering
  • Deep Learning in Computer Vision
  • Doctor of Philosophy in Engineering and Technology, Sirindhorn International Institute of Technology, Thammasat University, Thailand
  • Doctor of Philosophy in Knowledge Science, Japan Advanced Institute of Science and Technology, Japan
  • Master of Science in Informatics, Technical University of Munich, Germany
  • Bachelor of Science in Computer Science, Sirindhorn International Institute of Technology, Thammasat University, Thailand