Taufiquar Khan

27 papers A* 1Misc 1Journal 25

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Decoupled algorithms and analyses for an advection-reaction-diffusion model with stocking and harvesting. Comput. Math. Appl. Mayesha Sharmim Tisha, Md. Kamrujjaman, Muhammad Mohebujjaman, Taufiquar Khan
2025	J	`jnl`	Self-adaptive physics-informed neural network for forward and inverse problems in heterogeneous porous flow. CoRR Md. Abdul Aziz, Thilo Strauss, Muhammad Mohebujjaman, Taufiquar Khan
2024	J	`jnl`	A Bayesian level-set inversion method for simultaneous reconstruction of absorption and diffusion coefficients in diffuse optical tomography. CoRR Anuj Abhishek, Thilo Strauss, Taufiquar Khan
2024	J	`jnl`	A physics-informed kernel approach to learning the operator for parametric PDEs. Neural Comput. Appl. Jason Kurz, Brett Bowman, M. Seman, Chad Oian, Taufiquar Khan
2024	J	`jnl`	Decoupled algorithms for non-linearly coupled reaction-diffusion competition model with harvesting and stocking. J. Comput. Appl. Math. Muhammad Mohebujjaman, Clarisa Buenrostro, Md. Kamrujjaman, Taufiquar Khan
2024	J	`jnl`	Less Discriminatory Alternative and Interpretable XGBoost Framework for Binary Classification. CoRR Andrew C. Pangia, Agus Sudjianto, Aijun Zhang, Taufiquar Khan
2024	J	`jnl`	MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems. CoRR Sudeb Majee, Anuj Abhishek, Thilo Strauss, Taufiquar Khan
2024	J	`jnl`	Sensitivity Analysis and Monte Carlo Based Uncertainty Quantification of the In-process Modal Parameters in Milling. CoRR M. Hashemitaheri, T. T. Le, Taufiquar Khan, Harish Cherukuri
2024	J	`jnl`	Stocking and Harvesting Effects in Advection-Reaction-Diffusion Model: Exploring Decoupled Algorithms and Analysis. CoRR Mayesha Sharmim Tisha, Md. Kamrujjaman, Muhammad Mohebujjaman, Taufiquar Khan
2024	J	`jnl`	The Carleman-Newton method to globally reconstruct the initial condition for nonlinear parabolic equations. J. Comput. Appl. Math. Anuj Abhishek, Thuy T. Le, Loc H. Nguyen, Taufiquar Khan
2023	J	`jnl`	Comparison of Different Radial Basis Function Networks for the Electrical Impedance Tomography (EIT) Inverse Problem. Algorithms Chowdhury Abrar Faiyaz, Pabel Shahrear, Rakibul Alam Shamim, Thilo Strauss, Taufiquar Khan
2023	J	`jnl`	Implicit Solutions of the Electrical Impedance Tomography Inverse Problem in the Continuous Domain with Deep Neural Networks. Entropy Thilo Strauss, Taufiquar Khan
2023	A*	`conf`	Improved Training of Physics-Informed Neural Networks Using Energy-Based Priors: a Study on Electrical Impedance Tomography. ICLR Akarsh Pokkunuru, Pedram Rooshenas, Thilo Strauss, Anuj Abhishek, Taufiquar Khan
2023	J	`jnl`	Physics-Informed Neural Networks for the Heat Equation with Source Term under Various Boundary Conditions. Algorithms Brett Bowman, Chad Oian, Jason Kurz, Taufiquar Khan, Eddie Gil, Nick Gamez
2023	J	`jnl`	Recovering the Forcing Function in Systems with One Degree of Freedom Using ANN and Physics Information. Algorithms Shadab Anwar Shaikh, Harish Cherukuri, Taufiquar Khan
2023	J	`jnl`	The evolution of resource distribution, slow diffusion, and dispersal strategies in heterogeneous populations. Frontiers Appl. Math. Stat. Ishrat Zahan, Md. Kamrujjaman, Md Abdul Alim, Md. Shahidul Islam, Taufiquar Khan
2022	J	`jnl`	A Physics-Based Longitudinal Driver Model for Automated Vehicles. IEEE Access Mizanur Rahman, Md Rafiul Islam, Mashrur Chowdhury, Taufiquar Khan
2022	J	`jnl`	An Optimal Bayesian Estimator for Absorption Coefficient in Diffuse Optical Tomography. SIAM J. Imaging Sci. Anuj Abhishek, Thilo Strauss, Taufiquar Khan
2022	J	`jnl`	Decoupled algorithms for non-linearly coupled reaction-diffusion competition model with harvesting and Stocking. CoRR Muhammad Mohebujjaman, Clarisa Buenrostro, Md. Kamrujjaman, Taufiquar Khan
2022	J	`jnl`	Dynamics of heterogeneous population due to spatially distributed parameters and an ideal free pair. Frontiers Appl. Math. Stat. Ishrat Zahan, Md. Kamrujjaman, Md Abdul Alim, Muhammad Mohebujjaman, Taufiquar Khan
2022	J	`jnl`	The Carleman-Newton method to globally reconstruct a source term for nonlinear parabolic equation. CoRR Anuj Abhishek, Thuy T. Le, Loc Nguyen, Taufiquar Khan
2020	J	`jnl`	Development of a Connected and Automated Vehicle Longitudinal Control Model. CoRR Mizanur Rahman, Md Rafiul Islam, Mashrur Chowdhury, Taufiquar Khan
2020	J	`jnl`	Statistical Inversion Using Sparsity and Total Variation Prior And Monte Carlo Sampling Method For Diffuse Optical Tomography. CoRR Thilo Strauss, Sanwar Ahmad, Taufiquar Khan
2019	J	`jnl`	Comparison of statistical inversion with iteratively regularized Gauss Newton method for image reconstruction in electrical impedance tomography. Appl. Math. Comput. Sanwar Ahmad, Thilo Strauss, Shyla Kupis, Taufiquar Khan
2015	J	`jnl`	Improving the Efficacy of Car-Following Models With a New Stochastic Parameter Estimation and Calibration Method. IEEE Trans. Intell. Transp. Syst. Mizanur Rahman, Mashrur Chowdhury, Taufiquar Khan, Parth Bhavsar
2015	Misc	`conf`	Statistical Inversion of Absolute Permeability in Single-phase Darcy Flow. ICCS Thilo Strauss, Xiaolin Fan, Shuyu Sun, Taufiquar Khan
2005	J	`jnl`	1D inverse problem in diffusion based optical tomography using iteratively regularized Gauss-Newton algorithm. Appl. Math. Comput. Taufiquar Khan, Alexandra Smirnova