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.
Education
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)
Awards
• 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 – 面上项目, 2024-2027, PI
Title: Parallel Solver with Learning Capability for Large-scale Systems of Nonlinear Equations
FDCT funding, Macao SAR, 2025-2028, PI
Title: Highly Scalable Parallel Algorithms for Simulation of Wetting Phenomena on Solid Surfaces
FDCT funding, Macao SAR, 2023-2025, PI
Title: Highly Parallel Preconditioned Inexact Newton Methods for Nonlinear System of Equations
- MYRG-GRG, University of Macau, 2026-2027, PI
Title: Numerical Simulation of Slip and Leakage Effects on Diseased Artery
MYRG, University of Macau, 2023-2024, PI
Title: Parallel Algorithms for Two-Phase Flows
National Natural Science Foundation of China – Young Researcher Foundation, 2018-2020, PI
Title: Scalable Parallel Domain Decomposition Methods for Simulation of Wetting Phenomena on Solid Surfaces
Publication – link
Presentation – link
Software – link
Useful Links