Welcome to my site!

My name is Aishah Albarakati. I am a passionate mathematical researcher with a diverse background in data assimilation, data-driven methods for models, data-order reduction, ocean modeling, and machine learning. I am always looking forward to exploring new content and improving my technical skills to solve complex real-world problems.

Here is a copy of my CV.

Education

• Ph.D., Mathematics, Clarkson University, NY, US Aug 2022.
  Dissertation: Projected Particle Filter using Order Reduction Methods.
  Advisors: Marko Budišic and Erik Van Vleck.
• MS, Mathematics, Clarkson University, NY, US                            May 2018.
• MS, Applied & Computational Mathematics, UMass Lowell, MA, US Feb 2017.
• BS, Mathematics with Education, Umm Al-Qura University, Makkah, Saudi Arabia Sep 2009.

Publication

• Albarakati, A., Budišić, M., Crocker, R., Glass-Klaiber, J., Iams, S., Maclean, J., … & Van Vleck, E. S. (2022). Model and data reduction for data assimilation: Particle filters employing projected forecasts and data with application to a shallow water model. Computers & Mathematics with Applications, 116, 194-211.

Manuscripts in Preparation

• Albarakati, A., Budišić, M., & Van Vleck, E. S. Projected Data Assimilation using Sliding Window Proper Orthogonal Decomposition.
• Albarakati, A., Budišić, M., Roberts, C., & Van Vleck, E. S. Coupled Ocean-Atmosphere Data Assimilation with Projected Particle Filters.