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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
Ryan Allaire
Ph.D. Candidate
May 2021
  • Thin Films
  • Fluid dynamics
  • Heat conduction
  • Numerical Methods
  • GPU Computing
    • Chao Cheng
    Ph.D. Candidate
    May 2021
  • Simulation
  • Topological Data analysis
  • Soft matter
    • Binan Gu
    Ph.D. Candidate
    May 2021
  • Stochastic Processes and Applications
  • Complex Fluids in Random Media
    • 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
    • Yuexin Liu
    Ph.D. Candidate
    May 2021
  • Fluid dynamics and machine learning
    • 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
    • Axel Turnquist
    Ph.D. Candidate
    August 2021
  • Optimal transport
  • numerical methods
  • image processing
  • PDE on manifolds
    • 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
    • Erli Wind-Andersen
    Ph.D. Candidate
    May 2022
  • Scientific Computing
  • Numerical Analysis
  • Electromagnetic Scattering.
    • 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
    • Connor Robertson
    Ph.D. Candidate
    August 2022
  • Data-driven modeling
  • Scientific machine learning
  • Optimization
  • Scientific computing
    • Yasser Almoteri
    Ph.D. Candidate
    May 2023
    Enkeleida Lushi
  • Active matter in complex confinement
  • Mathematical Modeling in BioPhysics
  • Scientific Computing
    • Diego Rios
    Ph.D. Candidate
    May 2023
  • Underwater Acoustics
  • Inverse Problem
    • Kosuke Sugita
    Ph.D. Candidate
    May 2023
  • Scientific Computing
  • Numerical Analysis
  • Fast Algorithms
    • Prianka Bose
    Ph.D. Student
    May 2024
  • Scientific Computing
  • Numerical Analysis
  • Fast Algorithms
    • Jake Brusca
    Ph.D. Student
    May 2024
  • Numerical Analysis
  • Monge-Ampère equations
    • Samantha Evans
    Ph.D. Student
    May 2024
  • Numerical Analysis
  • Fluid Dynamics
    • Nicholas Dubicki
    Ph.D. Student
    June 2024
  • Analysis
  • Mathematical Physics
    • José Pabón
    Ph.D. Student
    June 2024
  • Numerical Analysis
  • Slender Body Theory
    • Atul Anurag
    Ph.D. Student
    August 2024
  • Dynamical Systems
  • Analysis of Walking droplet problems
    • Joseph D'Addesa
    Ph.D. Student
    May 2025
    TBD
  • TBD
    • Mark Fasano
    Ph.D Student
    May 2025
    TBD
  • TBD
    • Matthew Illingworth
    Ph.D. Student
    May 2025
    TBD
  • TBD
    • Souaad LAZERGUI
    Ph.D Student
    May 2025
  • Scattering problem
    • Moshe Silverstein
    Ph.D. Student
  • Mathematical Neuroscience
  • Stochastics
  • Complex and Chaotic systems
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    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
    •