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

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.

P2Pflow:  a Parallel two-Phase flow solver

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.

Click to know more about P2Pflow


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

Work Experience

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

Research Grants

  • National Natural Science Foundation of China – Mianshang Project, 2024-2027, PI

       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

    Domain Decomposition
    CAM digest