Speaker

Tao Liu

Biography :

Tao Liu received the B.S. degree (Mathematics and Applied Mathematics) and M.S. degree (Applied Mathematics) from Harbin Engineering University, Harbin, China, in 2007 and 2009, respectively, and the Ph.D. degree (Mathematics) from Harbin Institute of Technology, Harbin, China, 2014. From 2022 to 2023‚ he was a Post-Doctoral Research Fellow at the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. He is currently an Associate Professor at the School of Mathematics and Statistics, Northeastern University at Qinhuangdao, China. He served as the reviewer for Mathematical Reviews of American Mathematical Society, Topical Advisory Panel Member and guest editor of Mathematics (indexed by SCI, JCR-Q1, IF: 2.4), guest editor of Axioms (indexed by SCI, JCR-Q2, IF: 2.0), editor of Journal of Advances in Applied & Computational Mathematics, editor of Journal of Nuclear Science and Technology Updates, external examiner for postgraduate thesis of PSG College of Arts & Science, guest editor of ICTA 2023, International Technical Committee Member of AMMAI 2025, AMMCS 2024, AMMCS 2023, AMMCS 2022, IWEP 2024, IWEP 2023, ICANCT 2024, ICANCT 2022, ICCEAD 2024, ICAIC 2024, ICARCE 2023, ICARCE 2022, AMICS 2023, AMICS 2022, AMDS 2023, AMDS 2022, ICAMCS 2023, ICAMP 2023, ACSE 2023, CMME 2023, SMMA 2023, ICTA 2023, CMBDA 2022, CPRA 2022, and reviewer for many journals indexed by SCI (such as AIMS Mathematics, Applied Mathematics and Computation, Axioms, Chaos, Solitons and Fractals, Communications in Nonlinear Science and Numerical Simulation, Computer Modeling in Engineering and Sciences, Electronic Research Archive, Electronics, Energies, Engineering Computations, Engineering with Computers, Foundations, Fractal and Fractional, International Journal of Mechanical Sciences, International Journal of Non-Linear Mechanics, Inverse Problems in Science and Engineering, Journal of Applied Analysis, Journal of Applied Analysis and Computation, Journal of Mathematics, Journal of Petroleum Science and Engineering, Mathematical Biosciences and Engineering, Mathematical Methods in the Applied Sciences, Mathematics, Optimization, Sensors, Sustainability, Symmetry). His research interests include: Deep Learning; Reinforcement Learning; Multiscale Methods (Multigrid and Wavelet); Homotopy Method; Inverse and Ill-posed Problems; Parameter Reconstruction. In related subjects, he has published nearly 40 SCI journal papers, including 9 top SCI journal papers, and nearly 30 EI conference papers. He has been awarded as the leader of the Outstanding Project of Nature Science Foundation of Hebei Province of China in 2019.

Research Interest :

1. Deep Learning; Reinforcement Learning; Multiscale Methods (Multigrid and Wavelet); Homotopy Method; Inverse and Ill-posed Problems; Parameter Reconstruction.