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Orathai Sangpetch

Assistant Professor
Position(s):
Vice President
Association(s):
Executive Office
Office Hour(s):
Monday - Friday, 9 AM - 5 PM
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biography
Education
research focus
Professional association
selected publications

Assistant Professor Orathai Sangpetch is currently serving as Vice President of Research and Strategy at CMKL University. She previously joined KMITL in 2013 after receiving B.S, M.S. and Ph.D. in ECE from Carnegie Mellon University. As one of founding members of CMKL University, Dr. Sangpetch works closely in collaboration with public and private organizations in Thailand to support innovations and research strategy for CMKM program. Her goal is to realize the research capabilities and drive innovations that will impact the transformation of Thailand and its surrounding region. Her research interests include virtualization, cloud computing, and cybersecurity.

  • K. Kamtue, J. M. F. Moura, and O. Sangpetch, "Is Pontryagin’s Maximum Principle all you need? Solving optimal control problems with PMP-inspired neural networks," arXiv:2410.06277, 2024.
  • Y. Kerdcharoen, U. Sridhar, O. Sangpetch, and T. M. Low, "Linear algebra approach for directed triad counting and enumeration," in Proc. SC24-W: Workshops Int. Conf. High Perform. Comput., Netw., Storage Anal., Atlanta, GA, USA, Nov. 2024, pp. 718–726, doi: 10.1109/SCW63240.2024.00100.
  • D. Kotheeranurak, O. Sangpetch, H. Y. Noh, and P. Zhang, "Poster abstract: Long-term inventory flow management system tracking using doorway monitoring," in Proc. 22nd Int. Conf. Inf. Process. Sensor Netw. (IPSN), San Antonio, TX, USA, May 2023, pp. 324–325, doi: 10.1145/3583120.3589832.
  • P. S. S. Baweja, O. Sangpetch, and A. Sangpetch, "AI for fraud awareness," arXiv:2308.11032, 2023.
  • K. Udomchoksakul, O. Sangpetch, and A. Sangpetch, "GPU performance tuning and power efficiency on the DGX A100 cluster," in Proc. 2022 IEEE Int. Conf. Cloud Comput. Technol. Sci. (CloudCom), Bangkok, Thailand, Dec. 2022, pp. 153–160, doi: 10.1109/CloudCom55334.2022.00033.
  • Optimal Control & Neural Networks
  • Graph Algorithms & Linear Algebra
  • Sensor Networks & IoT
  • GPU & High-Performance Computing
  • AI Systems & Infrastructure
  • 2005 – 2013: Doctor of Philosophy in Electrical and Computer Engineering, Carnegie Mellon University, USA
  • 2001 – 2005: Master of Science and Bachelor of Science with University Honors in Electrical and Computer Engineering, Carnegie Mellon University, USA