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Mai Xuan Trang, Ph.D

Mai Xuan Trang, Ph.D

Vice Dean
  • Ph.D. (Informatics, Kyoto University, Japan, 2016)
  • M.S. (Information & Communication Technology, King Mongkut's Institute of Technology Latkrabang, Thailand, 2011)
  • B.E. (Information Technology, Hanoi University of Science and Technology, Vietnam, 2008)

Mai Xuan Trang received B.E. degree from Hanoi University of Science and Technology, Vietnam in 2008, M.E. degree from King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand in 2011 and Ph.D in informatics from Kyoto University in 2016. He currently is a Lecturer with the Faculty of Computer Science, Phenikaa University, Vietnam.


RESEARCH INTERESTS

  • Service & Cloud Computing

  • Semantic Web

  • Applied AI

  • Large Language Models


SELECTED PUBLICATIONS

  • Trinh, H.X., Hoang, T.K., Bui, M.C., Trang, M.X., Stress distribution in a multi-layer soft viscoelastic material under sliding motion of a spherical indenter tip. Mech Time-Depend Mater (2024). https://doi.org/10.1007/s11043-024-09663-x

  • Mai Cong, H., Trang, M.X., Yamada, A., Takashi, S., Tosa, N., Nakatsu, R. (2023). A Deep Learning-Based Approach for Generating 3D Models of Fluid Arts. In: Brooks, A.L. (eds) ArtsIT, Interactivity and Game Creation. ArtsIT 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 479. Springer, Cham. https://doi.org/10.1007/978-3-031-28993-4_4

  • Hung, M.C., Trang, M.X., Yamada, A., Tosa, N., Nakatsu, R. (2022). Improvement of Deep Learning Technology to Create 3D Model of Fluid Art. In: Göbl, B., van der Spek, E., Baalsrud Hauge, J., McCall, R. (eds) Entertainment Computing – ICEC 2022. ICEC 2022. Lecture Notes in Computer Science, vol 13477. Springer, Cham. https://doi.org/10.1007/978-3-031-20212-4_18

  • Hung, M.C., Trang, M.X., Nakatsu, R., Tosa, N. (2022). Unusual Transformation: A Deep Learning Approach to Create Art. In: Wölfel, M., Bernhardt, J., Thiel, S. (eds) ArtsIT, Interactivity and Game Creation. ArtsIT 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 422. Springer, Cham. https://doi.org/10.1007/978-3-030-95531-1_21

  • Hung, M.C., Trang, M.X., Tosa, N., Nakatsu, R. (2021). Transformation of Landscape into Artistic and Cultural Video Using AI for Future Car. In: Rauterberg, M. (eds) Culture and Computing. Design Thinking and Cultural Computing. HCII 2021. Lecture Notes in Computer Science(), vol 12795. Springer, Cham. https://doi.org/10.1007/978-3-030-77431-8_25

  • Hung, M.C., Trang, M.X., Tosa, N., Nakatsu, R. (2021). IkebanaGAN: New GANs Technique for Digital Ikebana Art. In: Rauterberg, M. (eds) Culture and Computing. Interactive Cultural Heritage and Arts. HCII 2021. Lecture Notes in Computer Science(), vol 12794. Springer, Cham. https://doi.org/10.1007/978-3-030-77411-0_7

  • Trang, M.X., Yohei Murakami, and Toru Ishida. “Policy-aware service composition: predicting parallel execution performance of composite services.” IEEE Transactions on Services Computing 11.4 (2018): 602-615.


AWARDS & HONOURS

Best paper award, issued by 12th IEEE International Conference on Services Computing (SCC), 2015.


TEACHING COURSES

  • Introduction to Computing

  • Software Engineering

  • Cloud Computing

  • Human Computer Interaction


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