activity
20182024
most citedDevelopment of a Connected and Automated Vehicle Longitudinal Control Model

4 citations · 7 across the 6 of their papers we have counts for

collaborators

6 papers

math.NA2024★ 1 cited

Sensitivity Analysis and Monte Carlo Based Uncertainty Quantification of the In-process Modal Parameters in Milling

M. Hashemitaheri, T. T. Le, T. Khan +1

The material removal rates during milling operations are affected by the selection of the cutting depth and spindle speed. Poor selection of these parameters can result in chatter…

math.NA2022★ 1 cited

Decoupled algorithms for non-linearly coupled reaction-diffusion competition model with harvesting and Stocking

Muhammad Mohebujjaman, Clarisa Buenrostro, Md. Kamrujjaman +1

We propose, analyze and test two novel fully discrete decoupled linearized algorithms for a nonlinearly coupled reaction-diffusion -species competition model with harvesting or…

math.NA2022★ 1 cited

The Carleman-Newton method to globally reconstruct a source term for nonlinear parabolic equation

Anuj Abhishek, Thuy Le, Loc Nguyen +1

We propose to combine the Carleman estimate and the Newton method to solve an inverse source problem for nonlinear parabolic equations from lateral boundary data. The stability of…

math.NA2020

Statistical Inversion Using Sparsity and Total Variation Prior And Monte Carlo Sampling Method For Diffuse Optical Tomography

Thilo Strauss, Sanwar Ahmad, Taufiquar Khan

In this paper, we formulate the reconstruction problem in diffuse optical tomography (DOT) in a statistical setting for determining the optical parameters, scattering and absorptio…

eess.SY2020★ 4 cited

Development of a Connected and Automated Vehicle Longitudinal Control Model

Mizanur Rahman, Md Rafiul Islam, Mashrur Chowdhury +1

It is envisioned that, in the future, most vehicles on our roadway will be controlled autonomously and will be connected via vehicle to everything (V2X) wireless communication netw…

math.NA2018

Alternatives for Generating a Reduced Basis to Solve the Hyperspectral Diffuse Optical Tomography Model

Rachel Grotheer, Thilo Strauss, Phil Gralla +1

The Reduced Basis Method (RBM) is a model reduction technique used to solve parametric PDEs that relies upon a basis set of solutions to the PDE at specific parameter values. To ge…