VU, Sinh Tien Research Assistant Professor
Transition Arena for Quantum Materials and Information Sciences (taQumi) (Neo Excellent Core)
◆Degrees
B.S. VNU University of Engineering and Technology
M.S. Japan Advanced Institute of Science and Technology
Ph. D Japan Advanced Institute of Science and Technology
◆Professional Experience
2025 - : Japan Advanced Institute of Science and Technology
2025 - 2025 : Japan Advanced Institute of Science and Technology , Postdoctoral researcher
◆Specialties
Mathematical physics and basic theory, Computational science
◆Research Keywords
Neural Networks, Representation learning, Deep learning, Datamining, Materials Informatics

■Publications

◆Published Papers
Spatiotemporal mapping of alloy mesostructure dynamics via multimodal coherent X-ray diffraction imaging
Shuntaro Takazawa, Kakeru Ninomiya, Minh-Quyet Ha, Tien-Sinh Vu, Yuhei Sasaki, Masaki Abe, Hideshi Uematsu, Naru Okawa, Nozomu Ishiguro, Kyosuke Ozaki, Takaki Hatsui, Taiki Hoshino, Maiko Nishibori, Hieu-Chi Dam, Yukio Takahashi
Proceedings of the National Academy of Sciences, -, 2025
PID3Net: a deep learning approach for single-shot coherent X-ray diffraction imaging of dynamic phenomena
Tien-Sinh Vu, Minh-Quyet Ha, Adam Mukharil Bachtiar, Duc-Anh Dao, Truyen Tran, Hiori Kino, Shuntaro Takazawa, Nozomu Ishiguro, Yuhei Sasaki, Masaki Abe, Hideshi Uematsu, Naru Okawa, Kyosuke Ozaki, Kazuo Kobayashi, Yoshiaki Honjo, Haruki Nishino, Yasumasa Joti, Takaki Hatsui, Yukio Takahashi, Hieu-Chi Dam
npj Computational Materials, 11, 1, -, 2025
Impact of corner radius of the aperture on the accuracy of phase retrieval analysis in single-frame CDI for nanomaterials
Adam Mukharil Bachtiar, Tien-Sinh Vu, Minh-Quyet Ha, Shuntaro Takazawa, Yukio Takahashi, Hieu-Chi Dam
Molecular Physics, -, 2024
Towards understanding structure–property relations in materials with interpretable deep learning
Vu, T.-S., Ha, M.-Q., Nguyen, D.-N., Nguyen, V.-C., Abe, Y., Tran, T., Tran, H., Kino, H., Miyake, T., Tsuda, K., Dam, H.-C.
npj Computational Materials, 9, 1, -, 2023
D3NER: biomedical named entity recognition using CRF-biLSTM improved with fine-tuned embeddings of various linguistic information
Thanh Hai Dang, Hoang-Quynh Le, Trang M Nguyen, Sinh T Vu
Bioinformatics, 34, 20, 3539-3546, 2018

■Academic  Awards

・ Outstanding Student Award , Japan Advanced Institute of Science and Technology , 2025