Menu Search

Ph.D. Students

Here is the list of current Ph.D. students at the Department of Mathematical Sciences.

About
 
Name Status Expected Graduation Advisors Research Interests
Binan Gu
Ph.D. Candidate
May 2021
  • Stochastic Processes and Applications
  • Complex Fluids in Random Media
    • Chao Cheng
    Ph.D. Candidate
    May 2021
  • Simulation
  • Topological Data analysis
  • Soft matter
    • Emel Khan
    Ph.D. Candidate
    May 2021
  • Oscillations and entrainment in non-smooth models
    • Jacob Lesniewski
    Ph.D. Candidate
    May 2021
  • Numerical Analysis
  • Fully nonlinear elliptic PDEs
  • Optimal transport
    • Ryan Allaire
    Ph.D. Candidate
    May 2021
  • Thin Films
  • Fluid dynamics
  • Heat conduction
  • Numerical Methods
  • GPU Computing
    • Yuexin Liu
    Ph.D. Candidate
    May 2021
  • Fluid dynamics and machine learning
    • Axel Turnquist
    Ph.D. Candidate
    August 2021
  • Optimal transport
  • numerical methods
  • image processing
  • PDE on manifolds
    • Jimmie Adriazola
    Ph.D. Candidate
    August 2021
  • Optimal Control
  • Nonlinear Waves
  • Riemann-Hilbert Problems
  • Scientific Computing
    • Yixuan Sun
    Ph.D. Candidate
    August 2021
  • Mathematical Modeling
  • Numerical optimization
  • Fluid dynamics
    • Erli Wind-Andersen
    Ph.D. Candidate
    May 2022
  • Scientific Computing
  • Numerical Analysis
  • Electromagnetic Scattering.
    • Rituparna Basak
    Ph.D. Candidate
    May 2022
  • Topological Data Analysis
  • Machine Learning
  • Dry and wet granular material
  • Image Processing
    • Soheil Saghafi
    Ph.D. Candidate
    May 2022
  • Mathematical Neuroscience
  • Deep learning
  • Circadian clock
  • Optimization
    • Connor Robertson
    Ph.D. Candidate
    August 2022
  • Data-driven modeling
  • Scientific machine learning
  • Optimization
  • High performance computing
    • Lauren Barnes
    Ph.D. Candidate
    August 2022
  • Fluid dynamics
  • soft matter (colloidal suspensions)
  • walking droplets
  • numerical methods
    • Ruqi Pei
    Ph.D. Candidate
    August 2022
  • Numerical Analysis
  • Fast Algorithms
  • Machine Learning
    • Diego Rios
    Ph.D. Candidate
    May 2023
    Kosuke Sugita
    Ph.D. Candidate
    May 2023
  • Scientific Computing
  • Numerical Analysis
  • Fast Algorithms
    • Yasser Almoteri
    Ph.D. Candidate
    May 2023
    Enkeleida Lushi
  • Active matter in complex confinement
  • Mathematical Modeling in BioPhysics
  • Scientific Computing
    • Jake Brusca
    Ph.D. Student
    May 2024
  • Numerical Analysis
  • Monge-Ampère equations
    • Prianka Bose
    Ph.D. Student
    May 2024
  • Scientific Computing
  • Numerical Analysis
  • Fast Algorithms
    • Samantha Evans
    Ph.D. Student
    May 2024
  • Numerical Analysis
  • Fluid Dynamics
    • José Pabón
    Ph.D. Student
    June 2024
  • Numerical Analysis
  • Slender Body Theory
    • Nicholas Dubicki
    Ph.D. Student
    June 2024
  • Analysis
  • Mathematical Physics
    • Atul Anurag
    Ph.D. Student
    August 2024
  • Dynamical Systems
  • Analysis of Walking droplet problems
    • Moshe Silverstein
    Ph.D. Student
  • Mathematical Neuroscience
  • Stochastics
  • Complex and Chaotic systems
    •  
     
    Name Status Expected Graduation Advisors Research Interests
    Atefeh Javidialsaadi
    Ph.D Candidate
    December 2021
  • Survival analysis
  • Model checks
  • Resampling Techniques
  • Bootstrapping
  • Biostatistics
    • Beibei Li
    Ph.D. Candidate
    December 2021
  • Clinical Trial
  • Multiple Hypotheses Testing
  • Type I error Rates Control
  • Graphical Approach
    • Gan Luan
    Ph.D. Candidate
    December 2021
  • Spatial point process
  • Spatial lattice data and stochastic gradient descent
    • Subhrasish Chakraborty
    Ph.D. Student
    August 2022
  • Statistical Learning
  • Multiple Hypothesis Testing
  • Classification
  • Data Analysis
  • Machine Learning
  • Statistical Inference
    • Chhavi Tyagi
    Ph.D. Student
    May 2023
  • Statistical Learning
  • Machine Learning
    • Hewei Zhang
    Ph.D. Candidate
    May 2023
    Zuofeng Shang
  • Data Science
  • Deep learning
  • Big Data
    • Xiao Han
    Ph.D. Student
    December 2024
  • Spatial Statistics
  • Bayesian Statistics
  • Statistics in Social Science
    •