Professor
Research Area: Mathematics
Research Area: Computational Mathematics
Research Focus: AI + High-Performance Computing
Control theory of differential systems, including: time-optimal control, controllability and observability, and stabilizability.
Associate Professor
The research direction is statistical genetics, dedicated to developing statistical methods that combine whole-genome association analysis (GWAS) with transcriptomics, proteomics, metabolomics, etc., to explore the genetic mechanisms of complex traits such as Alzheimer's disease.
Research Interests: Applied Mathematics, Nonlinear Partial Differential Equations
Research directions include classical shadow tomography, information-complete measurements, scalable readout and verification of high-dimensional quantum systems, as well as quantum state preparation and quantum random walk models
Research Area: Applied Mathematics (Partial Differential Equations)
Assistant Professor
Research Interests: Coding Theory and Cryptographic Applications
Research Area: Applied Mathematics
Research Area: Geophysics
Research Interests: Algebraic Number Theory, Algebraic Coding Theory, Information Theory
Research Area: Algebraic Geometry
Research focuses on combinatorial and structural aspects of graph theory. ORCID: 0000-0002-8186-0146.
Research directions: Geometry and arithmetic of Shimura clusters, equal distribution of arithmetic-geometric objects, p-adic L-functions, and special values of L-functions.
Research Interests: Symplectic geometry, geometric topology
The research direction is algebraic topology, with a focus on issues such as algebraic topology on directed graphs (especially GLMY theory) and the calculation of spherical stable homotopy groups
The application of machine learning in scientific computingGeneralization error analysis of neural networks
Associate Research Fellow
artificial intelligence and high-performance computing
Artificial intelligence and high-performance computing
Assistant Research Fellow
The fields of artificial intelligence security, backdoor learning, computer vision, and generative models
AI+HPC
