Hai Van Nguyen

Papers

  1. Nguyen, Hai V., and Tan Bui-Thanh. “Model-constrained deep learning approaches for inverse problems.” arXiv preprint arXiv:2105.12033 (2021).
  2. Nguyen, Hai V., and Tan Bui-Thanh. “A Model-Constrained Tangent Manifold Learning Approach for Dynamical Systems.” arXiv preprint arXiv:2208.04995 (2022)
  3. Nguyen, Hai, Jonathan Wittmer, and Tan Bui-Thanh. “DIAS: A Data-Informed Active Subspace Regularization Framework for Inverse Problems.” Computation 10.3 (2022): 38.
  4. Van Hai, Nguyen, Doan Ngoc Tinh Nghiem, and Ngo Huu Cuong. “Large displacement elastic analysis of planar steel frames with flexible beam-to-column connections under static loads by corotational beam-column element.” Journal of Science and Technology in Civil Engineering (STCE)-HUCE 13.3 (2019): 85-94.
  5. Van Hai, Nguyen, Doan Ngoc Tinh Nghiem, and Ngo Huu Cuong. “Large displacement elastic static analysis of semi-rigid planar steel frames by corotational Euler–Bernoulli finite element.” Journal of Science and Technology in Civil Engineering (STCE)-HUCE 13.2 (2019): 24-32.

Conferences

  1. Mini-symposium organizer Scientific Deep Learning. 5th Annual Meeting of the SIAM Texas-Louisiana Section, November 4th - November 6th, 2022, Houston, Texas, U.S.
  2. Invited talk A Model-Constrained Tangent Slope Learning Approach for Dynamical Systems. 5th Annual Meeting of the SIAM Texas-Louisiana Section, November 4th - November 6th, 2022, Houston, Texas, U.S.
  3. Invited talk + poster presentation (Traveling reward) TNET: Model-Constrained Deep Learning Approach for Inverse Problems. 5th Annual Meeting of the SIAM Texas-Louisiana Section, November 4th - November 6th, 2022, Houston, Texas, U.S.
  4. Invited talk A Model-Constrained Tangent Slope Learning Approach for Dynamical Systems. SIAM Conference on Mathematics of Data Science (MDS22), September, 26-30, 2022 in San Diego, CA.
  5. Invited talk (Traveling reward) TNET: Model-Constrained Deep Learning Approach for Inverse Problems. USACM Thematic Conference on Uncertainty Quantification for Machine Learning Integrated Physics Modeling (UQ-MLIP) August 18-19, 2022, Crystal City, Arlington, Virginia, U.S.
  6. Invited talk Model-constrained deep learning approach for solving forward and inverse problems. SIAM Conference on Uncertainty Quantification (UQ22), April 12 - 15, 2022, Westin Peachtree Plaza, Atlanta, Georgia, U.S.