Shady Salama

Assistant professor

Ritsumeikan University

Japan

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About

Shady Salama is an Assistant Professor at Ritsumeikan University in Japan. His research focuses on the application of machine learning and genetic programming in job shop scheduling and social media engagement. Recent publications include analyses of digital governance during the COVID-19 pandemic and innovative algorithms for dynamic scheduling problems.

Articles (4)

Year:

2024

Year:

2023

Year:

2022

Year:

2022

Collaborators (1)

Vera Paola Shoda

Assistant Professor

Kobe University

JAPAN

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Shady Salama

Research Interests

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Articles (4)

Governors in the Digital Era: Analyzing and Predicting Social Media Engagement Using Machine Learning during the COVID-19 Pandemic in Japan

Feature selection approach for evolving reactive scheduling policies for dynamic job shop scheduling problem using gene expression programming

A novel feature selection for evolving compact dispatching rules using genetic programming for dynamic job shop scheduling

Multi-Objective Approach with a Distance Metric in Genetic Programming for Job Shop Scheduling

Collaborators (1)

Vera Paola Shoda

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