Shadi Shahoud

Orcid: 0000-0002-3505-9438

According to our database1, Shadi Shahoud authored at least 11 papers between 2018 and 2023.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Facilitating and Enhancing the Performance of Model Selection for Energy Time Series Forecasting in Cluster Computing Environments.
PhD thesis, 2023

2022
Facilitating the hybridization of parallel evolutionary algorithms in cluster computing environments.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021
An extended Meta Learning Approach for Automating Model Selection in Big Data Environments using Microservice and Container Virtualizationz Technologies.
Internet Things, 2021

A generic flexible and scalable framework for hierarchical parallelization of population-based metaheuristics.
Internet Things, 2021

2020
Facilitating and Managing Machine Learning and Data Analysis Tasks in Big Data Environments Using Web and Microservice Technologies.
Trans. Large Scale Data Knowl. Centered Syst., 2020

A Scalable Method for Scheduling Distributed Energy Resources using Parallelized Population-based Metaheuristics.
CoRR, 2020

A Meta Learning Approach for Automating Model Selection in Big Data Environments using Microservice and Container Virtualization Technologies.
Proceedings of the MEDES '20: 12th International Conference on Management of Digital EcoSystems, 2020

Descriptive Statistics Time-based Meta Features (DSTMF): Constructing a better Set of Meta Features for Model Selection in Energy Time Series Forecasting.
Proceedings of the APPIS 2020: 3rd International Conference on Applications of Intelligent Systems, 2020

2019
A Distributed Modular Scalable and Generic Framework for Parallelizing Population-Based Metaheuristics.
Proceedings of the Parallel Processing and Applied Mathematics, 2019

Superlinear Speedup of Parallel Population-Based Metaheuristics: A Microservices and Container Virtualization Approach.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

2018
A generic distributed microservices and container based framework for metaheuristic optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018


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