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ORCIDTaufiquar Khan
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2020 – today
- 2024
[j13]Muhammad Mohebujjaman
, Clarisa Buenrostro, Md. Kamrujjaman, Taufiquar Khan:
Decoupled algorithms for non-linearly coupled reaction-diffusion competition model with harvesting and stocking. J. Comput. Appl. Math. 436: 115421 (2024)- [j12]Anuj Abhishek, Thuy T. Le, Loc H. Nguyen, Taufiquar Khan:
The Carleman-Newton method to globally reconstruct the initial condition for nonlinear parabolic equations. J. Comput. Appl. Math. 445: 115827 (2024) - [i8]Anuj Abhishek, Thilo Strauss, Taufiquar Khan:
A Bayesian level-set inversion method for simultaneous reconstruction of absorption and diffusion coefficients in diffuse optical tomography. CoRR abs/2404.11552 (2024) - [i7]Mayesha Sharmim Tisha, Md. Kamrujjaman, Muhammad Mohebujjaman, Taufiquar Khan:
Stocking and Harvesting Effects in Advection-Reaction-Diffusion Model: Exploring Decoupled Algorithms and Analysis. CoRR abs/2404.17702 (2024) - [i6]M. Hashemitaheri, T. T. Le, Taufiquar Khan, Harish Cherukuri:
Sensitivity Analysis and Monte Carlo Based Uncertainty Quantification of the In-process Modal Parameters in Milling. CoRR abs/2407.10202 (2024) - [i5]Andrew Pangia, Agus Sudjianto, Aijun Zhang, Taufiquar Khan:
Less Discriminatory Alternative and Interpretable XGBoost Framework for Binary Classification. CoRR abs/2410.19067 (2024) - 2023
- [j11]Shadab Anwar Shaikh, Harish Cherukuri, Taufiquar Khan:
Recovering the Forcing Function in Systems with One Degree of Freedom Using ANN and Physics Information. Algorithms 16(5): 250 (2023) - [j10]Brett Bowman, Chad Oian, Jason Kurz, Taufiquar Khan, Eddie Gil, Nick Gamez:
Physics-Informed Neural Networks for the Heat Equation with Source Term under Various Boundary Conditions. Algorithms 16(9): 428 (2023) - [j9]Chowdhury Abrar Faiyaz, Pabel Shahrear, Rakibul Alam Shamim, Thilo Strauss, Taufiquar Khan:
Comparison of Different Radial Basis Function Networks for the Electrical Impedance Tomography (EIT) Inverse Problem. Algorithms 16(10): 461 (2023) - [j8]Thilo Strauss, Taufiquar Khan:
Implicit Solutions of the Electrical Impedance Tomography Inverse Problem in the Continuous Domain with Deep Neural Networks. Entropy 25(3): 493 (2023) - [j7]Ishrat Zahan, Md. Kamrujjaman, Md Abdul Alim, Md. Shahidul Islam, Taufiquar Khan:
The evolution of resource distribution, slow diffusion, and dispersal strategies in heterogeneous populations. Frontiers Appl. Math. Stat. 9 (2023) - [c2]Akarsh Pokkunuru, Pedram Rooshenas, Thilo Strauss, Anuj Abhishek, Taufiquar Khan:
Improved Training of Physics-Informed Neural Networks Using Energy-Based Priors: a Study on Electrical Impedance Tomography. ICLR 2023 - 2022
- [j6]Mizanur Rahman, Md Rafiul Islam, Mashrur Chowdhury, Taufiquar Khan:
A Physics-Based Longitudinal Driver Model for Automated Vehicles. IEEE Access 10: 80883-80899 (2022) - [j5]Ishrat Zahan, Md. Kamrujjaman, Md Abdul Alim, Muhammad Mohebujjaman, Taufiquar Khan:
Dynamics of heterogeneous population due to spatially distributed parameters and an ideal free pair. Frontiers Appl. Math. Stat. 8 (2022) - [j4]Anuj Abhishek, Thilo Strauss, Taufiquar Khan:
An Optimal Bayesian Estimator for Absorption Coefficient in Diffuse Optical Tomography. SIAM J. Imaging Sci. 15(2): 797-821 (2022) - [i4]Anuj Abhishek, Thuy T. Le, Loc Nguyen, Taufiquar Khan:
The Carleman-Newton method to globally reconstruct a source term for nonlinear parabolic equation. CoRR abs/2209.08011 (2022) - [i3]Muhammad Mohebujjaman, Clarisa Buenrostro, Md. Kamrujjaman, Taufiquar Khan:
Decoupled algorithms for non-linearly coupled reaction-diffusion competition model with harvesting and Stocking. CoRR abs/2209.14144 (2022) - 2020
- [i2]Mizanur Rahman, Md Rafiul Islam, Mashrur Chowdhury, Taufiquar Khan:
Development of a Connected and Automated Vehicle Longitudinal Control Model. CoRR abs/2001.00135 (2020) - [i1]Thilo Strauss, Sanwar Ahmad, Taufiquar Khan:
Statistical Inversion Using Sparsity and Total Variation Prior And Monte Carlo Sampling Method For Diffuse Optical Tomography. CoRR abs/2002.08038 (2020)
2010 – 2019
- 2019
- [j3]Sanwar Ahmad, Thilo Strauss, Shyla Kupis, Taufiquar Khan:
Comparison of statistical inversion with iteratively regularized Gauss Newton method for image reconstruction in electrical impedance tomography. Appl. Math. Comput. 358: 436-448 (2019) - 2015
- [j2]Mizanur Rahman, Mashrur Chowdhury, Taufiquar Khan, Parth Bhavsar:
Improving the Efficacy of Car-Following Models With a New Stochastic Parameter Estimation and Calibration Method. IEEE Trans. Intell. Transp. Syst. 16(5): 2687-2699 (2015) - [c1]Thilo Strauss, Xiaolin Fan, Shuyu Sun, Taufiquar Khan:
Statistical Inversion of Absolute Permeability in Single-phase Darcy Flow. ICCS 2015: 1188-1197
2000 – 2009
- 2005
- [j1]Taufiquar Khan, Alexandra Smirnova:
1D inverse problem in diffusion based optical tomography using iteratively regularized Gauss-Newton algorithm. Appl. Math. Comput. 161(1): 149-170 (2005)
Coauthor Index
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