Raveekiat Singhaphandu

Assistant Professor

Assistant Professor
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Assistant Professor
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biography
Education
research focus
Professional association
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.

International Journals

  • Singhaphandu, R., Pannakkong, W., Huynh, van-N., & Boonkwan, P. (2024). A Manual Assembly Virtual Training System with Automatically Generated Augmented Feedback: Using the Comparison of Digitized Operator’s Skill. IEEE Access, 12, 133356–133391. doi:10.1109/ACCESS.2024.3436910
  • Singhaphandu, R. & Pannakkong, W. (2024). A Review on Enabling Technologies of Industrial Virtual Training Systems. International Journal of Knowledge and Systems Science (IJKSS), 15(1), 1-33. https://doi.org/10.4018/IJKSS.352515
  • Saophan, P., Pannakkong, W., Singhaphandu, R., & Huynh, V.-N. (2023). Rapid Production Rescheduling for Flow Shop Under Machine Failure Disturbance Using Hybrid Perturbation Population Genetic Algorithm-Artificial Neural Networks (PPGA-ANNs). IEEE Access, 11, 75794–75817. doi:10.1109/ACCESS.2023.3294573

National Journal

  • Utamapongchai, N., Ngernsalung, S., Singhaphandu, R., & Pannakkong, W. (2024). Enhancing Warehouse Management with AI and Computer Vision: A Case Study in a Logistics Service Company. INTERNATIONAL SCIENTIFIC JOURNAL OF ENGINEERING AND TECHNOLOGY (ISJET), 8(2), 38–46.
  • Applied Software Engineering
  • Deep Learning in Computer Vision
  • B.Sc. in Computer Science – Sirindhorn International Institute of Technology, Thammasat University
  • M.Sc. in Informatics – Technical University of Munich
  • Ph.D. in Knowledge Science – Japan Advanced Institute of Science and Technology
  • Ph.D. in Engineering and Technology – Sirindhorn International Institute of Technology, Thammasat University