Ibrahim Hoteit

Orcid: 0000-0002-3751-4393

According to our database1, Ibrahim Hoteit authored at least 49 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Data Assimilation in Chaotic Systems Using Deep Reinforcement Learning.
CoRR, 2024

2023
Visualization and Visual Analytics Approaches for Image and Video Datasets: A Survey.
ACM Trans. Interact. Intell. Syst., March, 2023

Semantic Segmentation of Mesoscale Eddies in the Arabian Sea: A Deep Learning Approach.
Remote. Sens., March, 2023

Multi-Mission Satellite Detection and Tracking of October 2019 Sabiti Oil Spill in the Red Sea.
Remote. Sens., January, 2023

Downscaling Using CDAnet Under Observational and Model Noises: The Rayleigh-Benard Convection Paradigm.
CoRR, 2023

Inshimtu - A Lightweight In Situ Visualization "Shim".
Proceedings of the High Performance Computing, 2023

Advancing Urban Air Quality Monitoring: A Hybrid Mobile-Stationary Approach.
Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023

A Visual Analytics Framework for Renewable Energy Profiling and Resource Planning.
Proceedings of the 143th International EuroVis Workshop on Visual Analytics, 2023

Visualization Environment for Analyzing Extreme Rainfall Events: A Case Study.
Proceedings of the 11th Workshop on Visualisation in Environmental Sciences, 2023

2022
Parallel- and Cyclic-Iterative Variational Bayes for Fast Kalman Filtering in Large-Dimensions.
IEEE Trans. Signal Process., 2022

Risk-Averse Stochastic Programming vs. Adaptive Robust Optimization: A Virtual Power Plant Application.
INFORMS J. Comput., 2022

Continuous and Discrete Data Assimilation with Noisy Observations for the Rayleigh-Benard Convection: A Computational Study.
CoRR, 2022

Enhanced Simulation of the Indian Summer Monsoon Rainfall Using Regional Climate Modeling and Continuous Data Assimilation.
CoRR, 2022

Efficient SST prediction in the Red Sea using hybrid deep learning-based approach.
Proceedings of the 20th IEEE International Conference on Industrial Informatics, 2022

2021
Phytoplankton Biomass and the Hydrodynamic Regime in NEOM, Red Sea.
Remote. Sens., 2021

Seasonal M2 Internal Tides in the Arabian Sea.
Remote. Sens., 2021

Links between Phenology of Large Phytoplankton and Fisheries in the Northern and Central Red Sea.
Remote. Sens., 2021

Adaptive ensemble optimal interpolation for efficient data assimilation in the red sea.
J. Comput. Sci., 2021

Sample average approximation for risk-averse problems: A virtual power plant scheduling application.
EURO J. Comput. Optim., 2021

2020
A Bayesian Structural Time Series Approach for Predicting Red Sea Temperatures.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Parametric Bayesian estimation of point-like pollution sources of groundwater layers.
Signal Process., 2020

Developing an Atlas of Harmful Algal Blooms in the Red Sea: Linkages to Local Aquaculture.
Remote. Sens., 2020

A Visual Analytics Based Decision Making Environment for COVID-19 Modeling and Visualization.
Proceedings of the 31st IEEE Visualization Conference, 2020

Unsupervised Variational Bayesian Kalman Filtering For Large-Dimensional Gaussian Systems.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Abnormal events detection using deep neural networks: application to extreme sea surface temperature detection in the Red Sea.
J. Electronic Imaging, 2019

Fetal ECG extraction exploiting joint sparse supports in a dual dictionary framework.
Biomed. Signal Process. Control., 2019

RedSeaAtlas: A Visual Analytics Tool for Spatio-temporal Multivariate Data of the Red Sea.
Proceedings of the 7th Workshop on Visualisation in Environmental Sciences, 2019

2018
Intra-Season Crop Height Variability at Commercial Farm Scales Using a Fixed-Wing UAV.
Remote. Sens., 2018

A fault-tolerant HPC scheduler extension for large and operational ensemble data assimilation: Application to the Red Sea.
J. Comput. Sci., 2018

Optimal projection of observations in a Bayesian setting.
Comput. Stat. Data Anal., 2018

Risk-averse formulations and methods for a virtual power plant.
Comput. Oper. Res., 2018

A Variational Bayesian Estimation Scheme For Parametric Point-Like Pollution Source of Groundwater Layers.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

A Lagrangian Method for Extracting Eddy Boundaries in the Red Sea and the Gulf of Aden.
Proceedings of the 2018 IEEE Scientific Visualization Conference, 2018

2016
A Variational Bayesian Multiple Particle Filtering Scheme for Large-Dimensional Systems.
IEEE Trans. Signal Process., 2016

A Sparse Bayesian Imaging Technique for Efficient Recovery of Reservoir Channels With Time-Lapse Seismic Measurements.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Orthogonal Matching Pursuit for Enhanced Recovery of Sparse Geological Structures With the Ensemble Kalman Filter.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Visual Analysis of Reservoir Simulation Ensembles.
Proceedings of the 4th Workshop on Visualisation in Environmental Sciences, 2016

2015
Fast Kalman-Like Filtering for Large-Dimensional Linear and Gaussian State-Space Models.
IEEE Trans. Signal Process., 2015

Probability Maps for the Visualization of Assimilation Ensemble Flow Data.
Proceedings of the 3rd Workshop on Visualisation in Environmental Sciences, 2015

An efficient multiple particle filter based on the variational Bayesian approach.
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2015

Enhanced recovery of subsurface geological structures using compressed sensing and the Ensemble Kalman filter.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Ovis: A Framework for Visual Analysisof Ocean Forecast Ensembles.
IEEE Trans. Vis. Comput. Graph., 2014

Hybrid nested sampling algorithm for Bayesian model selection applied to inverse subsurface flow problems.
J. Comput. Phys., 2014

Low-complexity wireless monitoring of respiratory movements using ultra-wideband impulse response estimation.
Biomed. Signal Process. Control., 2014

A Greedy Approach for Placement of Subsurface Aquifer Wells in an Ensemble Filtering Framework.
Proceedings of the Dynamic Data-Driven Environmental Systems Science, 2014

A One-Step-Ahead Smoothing-Based Joint Ensemble Kalman Filter for State-Parameter Estimation of Hydrological Models.
Proceedings of the Dynamic Data-Driven Environmental Systems Science, 2014

2013
An iterative stochastic ensemble method for parameter estimation of subsurface flow models.
J. Comput. Phys., 2013

Visual analysis of uncertainties in ocean forecasts for planning and operation of off-shore structures.
Proceedings of the IEEE Pacific Visualization Symposium, 2013

2001
Filtres de Kalman réduits et efficaces pour l'assimilation de données en océanographie. (Efficient reduced Kalman filters for data assimilation in oceanography).
PhD thesis, 2001


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