Mohammad Abed El-Rahman Hammoud

Postdoc, Princeton University, New Jersey, USA/ ALUMNI PhD Student

Alumni

Research Interests

​Abed is interested in interdisciplinary research involving innovative integration of artificial intelligence methodologies, with particular emphasis on deep reinforcement learning, scientific computing and uncertainty quantification.
During his studies, he applied computational techniques to a broad spectrum of problems in fluid mechanics, environmental flows, pollution assessment and remote sensing.
By leveraging the capabilities of artificial intelligence, he aims to develop predictive models that extract the most value out of incoming data, while also accounting for inherent uncertainties in the model parameters and data.

Selected Publications

Hammoud, M.A.E.R., Titi, E.S., Hoteit, I., & Knio, O. (2022). CDAnet: A Physics‐Informed Deep Neural Network for Downscaling Fluid Flows. Journal of Advances in Modeling Earth Systems

Hammoud, M.A.E.R., Le Maître, O., Titi, E. S., Hoteit, I., & Knio, O. (2023). Continuous and discrete data assimilation with noisy observations for the Rayleigh-Bénard convection: a computational study. Computational Geosciences

Hammoud, M.A.E.R., Alwassel, H., Ghanem, B., Knio, O., & Hoteit, I. (2023). Physics-Informed Deep Neural Network for Backward-in-Time Prediction: Application to Rayleigh–Bénard Convection. Artificial Intelligence for the Earth Systems

Education

  • 2020-2024: PhD in Mechanical Engineering, King Abdullah University of Science and Technology, Moving source identification in an uncertain marine flow: Application to the Mediterranean Sea
  • 2018-2020: MSc in Mechanical Engineering, King Abdullah University of Science and Technology
  • 2014-2018: BEng. in Mechanical Engineering, American University of Beirut

Professional Profile

  • ​Internship at Bassoul-Heneine (BMW, Renault), Beirut, Lebanon, July-August 2016 
  • Internship at Khater Engineering and Trading SAL (Honeywell Control), El-Metn, Lebanon, December 2016 - January 2017

Scientific and Professional Membership

ASME KAUST Chapter (2022-)
SIAM KAUST Chapter (2022-)

Awards

  • KAUST Physical Science and Engineering Dean's Award, Mechanical Engineering (2023)
  • KAUST Physical Science and Engineering Inaugural Dean's Award, Mechanical Engineering (2022)
  • Faculty of Engineering and Architecture Dean's honor list award for all semesters, American University of Beirut (2014-2018)
  • 3rd place in the Lebanese Scientific Excellence Exams (2014)
  • 3rd place (top 1%) in Mobarat alOloum (National Association for Science and Research, science fair) (2011)
  • Academic excellence award, Rawdah High School (2014)

Research Interests Keywords

Ocean modeling Uncertainty quantification Statistical inference