Mathematical Optimization: Theory, Algorithms and Applications
Quantum Computing for Optimization, Machine Learning, and Scientific Computing
Operations Research and Applications in Healthcare Systems
Numerical Linear Algebra for Optimization, and Machine Learning
Quantum algorithms for optimization problems
Quantum interior point methods
Quantum algorithms for PDE-constrained optimization
Quantum linear algebra
Improved Tomography for Quantum Linear System Algorithms (QLSA)
Benchmarking and implementation of QLSAs
Quantum-linear-algebra–based machine learning
GPU-enhanced quantum-inspired classical algorithms for optimization problems
Treatment planning optimization for radiation therapy
Developing efficient algorithms and numerical techniques to solve large-scale optimization models
Robust optimization formulations for patient motion in proton therapy
Quantum computing methods for cancer research
I am seeking highly motivated Ph.D. students to join my research group in the Department of Mathematics & Statistics at University of Maryland, Baltimore County. My research lies at the intersection of quantum computing, optimization, and operations research, with applications in areas such as data science and healthcare systems.
How to apply:
Email your CV to mhms379@umbc.edu
Apply to the Applied Math Program at University of Maryland, Baltimore County.
Students with strong backgrounds in mathematics, optimization, algorithms, computer science, or industrial engineering are especially encouraged to apply.
Notice: UMBC’s Free Graduate Application Week runs from January 11–17, 2026.