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Akkarit Sangpetch

Akkarit Sangpetch

Program Director

Position(s):
Program Director
biography

Assistant Professor

Position(s):

Program Director

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Executive Office

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[email protected]

biography

Education

research focus

Professional association

selected publications

Dr. Akkarit Sangpetch is Director of the AI Engineering Institute (AIEI) at CMKL University, a Carnegie Mellon–KMITL collaboration in Bangkok, Thailand, which he co-founded in 2017. His work centers on building sovereign AI infrastructure for Thailand, including open framework spanning compute, workforce, and applied AI. He leads curriculum and program design for CMKL’s AiCE undergraduate programs, with particular focus on systems programming, open network architecture, learning engineering and accelerated computing.

Beyond AIEI, Dr. Sangpetch collaborates with Thai corporations for enterprise AI transformation research & development including large-scale deployments spanning logistics, smart cities, and digital infrastructure. He holds a background in computer systems and cloud infrastructure from Carnegie Mellon University.

  • [1] P. S. S. Baweja, O. Sangpetch, and A. Sangpetch, "AI For Fraud Awareness," arXiv preprint, arXiv:2308.11032, 2023.

  • [2] Y. Dong, A. Bonde, J. R. Codling, A. Bannis, J. Cao, A. Macon, G. Rohrer, J. Miles, S. Sharma, T. Brown-Brandl, A. Sangpetch, O. Sangpetch, P. Zhang, and H. Y. Noh, "PigSense: Structural Vibration-based Activity and Health Monitoring System for Pigs," ACM Transactions on Sensor Networks, vol. 20, no. 1, art. 25, pp. 1–43, Jan. 2024 (published online 2023). doi: 10.1145/3604806.

  • [3] K. Udomchoksakul, O. Sangpetch, and A. Sangpetch, "GPU Performance Tuning and Power Efficiency on the DGX A100 Cluster," in Proc. 2022 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), Bangkok, Thailand, 2022, pp. 153–160. doi: 10.1109/CloudCom55334.2022.00033.

  • [4] J. R. Codling, A. Bonde, Y. Dong, S. Cao, A. Sangpetch, O. Sangpetch, H. Y. Noh, and P. Zhang, "MassHog: Weight-sensitive occupant monitoring for pig pens using actuated structural vibrations," in Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2021 ACM International Symposium on Wearable Computers (UbiComp/ISWC '21 Adjunct), 2021, pp. 600–605.

  • [5] A. Bonde, J. R. Codling, K. Naruethep, Y. Dong, W. Siripaktanakon, S. Ariyadech, A. Sangpetch, O. Sangpetch, H. Y. Noh, and P. Zhang, "PIGNet: Failure-Tolerant Pig Activity Monitoring System Using Structural Vibration," in Proc. 20th International Conference on Information Processing in Sensor Networks (IPSN), Nashville, TN, USA, 2021, pp. 328–340.