Photo of Alsadig Ali

Dr. Alsadig Ali

  • Assistant Professor
  • Mathematics

Areas of Expertise

Data Science and Computational Mathematics, with emphasis on Bayesian Statistics, Uncertainty Quantification, and High-Performance Computing (HPC). Scalable computational and statistical methods to solve inverse problems related to flows in porous media, including subsurface characterization, contaminant transport, and energy applications. Leveraging data analytics and machine learning techniques to enhance modeling, simulation, and decision making in large scale scientific c

Education

  • B.Sc. in Mathematics. Al Neelain University, Sudan
  • M.Sc in Mathematics. The University of Khartoum, Sudan
  • M.Sc. in Mathematical Sciences. African Institute for Mathematical Sciences (AIMS), Senegal
  • Graduate Certificate in Data Science. The University of Texas at Dallas
  • Ph.D in Applied Mathematics. The University of Texas at Dallas

Publications

  • Ali A, Al-Mamun A, Pereira F, Rahunanthan A. Multiscale Sampling for the Inverse Modeling of Partial Differential Equations. Journal of Computational Physics. 2024 Jan 15;497:112609.
  • Mamun AA, Ali A, Al-Mamun A, Pereira F, Rahunanthan A. The Multiscale Maximum Change Algorithm for Subsurface Characterization. International Conference on Computational Science and Its Applications. Springer Nature Switzerland, 2023.
  • Ali A, Al-Mamun A, Pereira F, Rahunanthan A. Conditioning by Projection for the Sampling from Prior Gaussian Distributions. Computational Science and Its Applications–ICCSA 2021: Springer International Publishing, 2021.
  • Ali A, Al-Mamun A, Pereira F, Rahunanthan A. Markov Chain Monte Carlo Methods for Fluid Flow Forecasting in the Subsurface. Computational Science–ICCS 2020. Springer International Publishing, 2020.
  • Ali A, Mankad H, Pereira F, Sousa FS. The Multiscale Perturbation Method for Second Order Elliptic Equations. Applied Mathematics and Computation 387 (2020): 125023.

Popular Topics