Abed Hammoud
  • Home
  • News
  • Publications
  • Recent & Upcoming Talks
    • Abstract accepted to AMS BLT '25!
    • Presented at the Princeton Fluids Seminar!
    • I was awarded with the KAUST PSE dean's award! (First to achieve the highest number of awards possible within a PhD)
    • Invited to give a talk at AUB CAMS!
    • Invited to give a talk at the Stochastic Numerics and Stochastic Learning Conference!
    • I was awarded with the KAUST PSE dean's award for 2024!
    • Invited to give a talk at ISDA online!
    • Attended SIAM UQ '24 in Trieste!
    • Visited Prof. Dionysios Raitsos at Univ. of Athens!
    • Accepted to the Les Houches Summer School for 200 Years of Navier Stokes and Turbulences!
    • Gave a Talk at the Ocean Colloquium!
    • I was awarded with the inaugural KAUST PSE dean's award!
    • Gave a Talk at ISDA 2022!
    • Participated in the TU Delft DCSE Fall School on ROMs and UQ!
  • Publications
    • On the potential of Bayesian neural networks for estimating chlorophyll-a concentration from satellite data
    • Identification of Moving Sources in Stochastic Fields: A Bayesian Inferential Approach with Application to Marine Traffic in the Mediterranean Sea
    • Downscaling Using CDAnet Under Observational and Model Noises: The Rayleigh-Bénard Convection Paradigm
    • Data Assimilation in Chaotic Systems Using Deep Reinforcement Learning
    • Two-step AI-aided Bayesian source identification of urban-scale pollution
    • Oil spill risk analysis for the NEOM shoreline
    • Global Sensitivity Analysis of an Oil Spill Model: a Regularized Regression Approach.
    • Semantic Segmentation of Mesoscale Eddies in the Arabian Sea: A Deep Learning Approach
    • CDAnet: A Physics-Informed Deep Neural Network for Downscaling Fluid Flows
    • A Physics-Informed Deep Neural Network for Backward in Time Prediction: Application to Rayleigh-Bénard Convection
    • Continuous and discrete data assimilation with noisy observations for the Rayleigh-Bénard convection: a computational study
    • Moving source identification in an uncertain marine flow: Mediterranean Sea application
    • Towards an End-to-End Analysis and Prediction System for Weather, Climate, and Marine Applications in the Red Sea
  • Publication_feats
    • Data Assimilation in Chaotic Systems Using Deep Reinforcement Learning
    • CDAnet: A Physics-Informed Deep Neural Network for Downscaling Fluid Flows
    • A Physics-Informed Deep Neural Network for Backward in Time Prediction: Application to Rayleigh-Bénard Convection
  • Projects
  • Recent & Upcoming Talks
    • 🎉 Easily create your own simple yet highly customizable blog
    • 🧠 Sharpen your thinking with a second brain
    • 📈 Communicate your results effectively with the best data visualizations
    • 👩🏼‍🏫 Teach academic courses
    • ✅ Manage your projects
  • Projects
    • Pandas
    • PyTorch
    • scikit-learn
  • Experience
  • Teaching
    • Learn JavaScript
    • Learn Python
  • Recent & Upcoming Talks

I was awarded with the KAUST PSE dean's award! (First to achieve the highest number of awards possible within a PhD)

Apr 20, 2025 · 0 min read
Last updated on Apr 20, 2025
Abed Hammoud
Authors
Abed Hammoud
Postdoctoral Researcher
← Presented at the Princeton Fluids Seminar! May 22, 2025
Invited to give a talk at AUB CAMS! Jun 10, 2024 →

© 2025 Me. This work is licensed under CC BY NC ND 4.0

Published with Hugo Blox Builder — the free, open source website builder that empowers creators.