Li Luo (羅力), Ph.D.
Assistant Professor
Centre for Applied Mathematics
Department of Mathematics
Faculty of Science and Technology
University of Macau
Macao SAR, China
Email: liluo@um.edu.mo
Phone: +853 65983879 or +86 13691688103
Office: E11 - 3048
Research Interests
Li Luo’s research interests are parallel algorithms and high performance software for linear and nonlinear partial differential equations, domain decomposition methods, and multiphase flows.
We developed a parallel finite element solver P2Pflow for incompressible two-phase flow problems on 3D unstructured mesh. The solver is scalable on supercomputers such as Tianhe2 and Shaheen2 with 10,000+ cores. P2Pflow consists of the following two modules:
Module 1. A semi-implicit linear solver for the phase-field model with Cahn-Hilliard-Navier-Stokes equations, used for the simulation of liquid-gas-solid interaction. Ref.
Module 2. A fully implicit nonlinear solver for the two-phase flow governed by Darcy law in porous media, used for oil reservoir simulation. Ref.
PhD in Applied Mathematics, 2017, The Hong Kong University of Science & Technology, Hong Kong, supervised by Prof. Xiao-Ping Wang
MSc in Applied Mathematics, 2010, Chang’ an University, China
BSc in Information and Computing Science, 2007, Jilin University, China
Sep 2021 – present: Assistant Professor at Department of Mathematics, Faculty of Science and Technology, University of Macau, Macau
Dec 2017 – Aug 2021: Postdoctoral Fellow at Extreme Computing Research Center, King Abdullah University of Science & Technology
Jan 2017 – Dec 2017: Assistant Professor at Laboratory for Engineering and Scientific Computing, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences (SIAT, CAS)
• 1st Prize for the 2017 East Asia SIAM Student Paper
• Best Paper Award, HPCChina2017 (2nd Author)
• Higher Education Teaching Certificate – Harvard University’s Derek Bok Center
Title: Parallel Solver with Learning Capability for Large-scale Systems of Nonlinear Equations
FDCT funding (over 1 million MOP), Macao SAR, 2023-2025, PI
Title: Highly parallel preconditioned inexact Newton methods for nonlinear system of equations
Multi-year Research Grant, University of Macau, 2023-2024, PI
Title: Parallel algorithms for two-phase flows
Start-up Research Grant, University of Macau, 2021-2024, PI
Title: Preconditioning techniques for nonlinear systems
National Natural Science Foundation of China – Young Researcher Foundation, 2018-2020, PI
Title: Scalable parallel domain decomposition methods for simulation of wetting phenomenon on solid surfaces
National Natural Science Foundation of China / Research Grants Council (NSFC-RGC) Joint Research Scheme for 2015-2019, CoI
Title: Highly parallel algorithms for fluid-structure interaction problems and applications
Publication – link
Presentation – link
Software – link
Useful Links