PhD Students
Alumni
B#1/L#3 – 3305-WS07
Muhammad.izzatullah@kaust.edu.sa
Deep generative modeling, uncertainty quantification, deep learning and, waveform imaging & inversion.
1. Izzatullah, M., Peter, D., Kabanikhin, S., & Shishlenin, M. (2021). Bayes meets Tikhonov: understanding uncertainty within Gaussian framework for seismic inversion. In Advanced Methods for Processing and Visualizing the Renewable Energy (pp. 121-145). Springer, Singapore.
2. Izzatullah, M., Van Leeuwen, T., & Peter, D. (2021). Bayesian seismic inversion: a fast sampling Langevin dynamics Markov chain Monte Carlo method. Geophysical Journal International, 227(3), 1523-1553.
3. Izzatullah, M., Baptista, R., Mackey, L., Marzouk, Y., & Peter, D. (2020, October). Bayesian seismic inversion: Measuring Langevin MCMC sample quality with kernels. In SEG International Exposition and Annual Meeting. OnePetro.
4. Izzatullah, M., van Leeuwen, T., & Peter, D. (2019, September). Bayesian uncertainty estimation for full waveform inversion: A numerical study. In SEG International Exposition and Annual Meeting. OnePetro.
5. Karim, S. A. A., Rosli, M. A. M., & Mustafa, M. I. M. (2014). Cubic spline interpolation for petroleum engineering data. Applied mathematical sciences, 8(102), 5083-5098.
1. Novosibirsk State University, Russia, 2017, MSc (Summa Cum Laude) in Applied Mathematics and Computer Science
2. Universiti Teknologi PETRONAS, Malaysia, 2013, Bachelor of Engineering (Honours) Petroleum