Advancing a Sustainable Future: Automation, Data Analysis, Modelling, and Simulations

Dear Colleagues,

Automation, data analysis, modeling, and simulation-driven experiments have significantly transformed the way we understand and interact with ecosystems. From autonomous systems such as drones and robots that are deployed for monitoring (or tracking) endangered species, cleaning water bodies, interplanetary exploration, etc., to advanced wireless communication systems such as satellites and radio telescopes that are used for Earth observation and monitoring, automation, modeling, and simulations are at the core of scientific and engineering efforts geared towards healthier ecosystems that promote sustainability.

Recently, researchers and practitioners have been using exploratory data analysis and predictive modelling, often driven by machine learning techniques and expert systems, to understand the intrinsic patterns and trends in available data. This can help in the attainment of sustainable development goals such as good health and well-being, quality education, gender equality, and affordable and clean energy, amongst others.  Additionally, present-day data-driven paradigms that are often assisted by artificial intelligence or machine learning techniques are also providing useful analytical and explorative insights into how ecological balance can best be achieved to support a healthier ecosystem. Depending on the application, automation, data analysis, modeling, and simulation can be implemented in a multiplicity of ways. As a result, there has recently been a significant increase in the application of automation, data analysis, modeling, and simulation methods to improve the characterization, efficiency, and robustness of many processes and systems (e.g., healthcare, climate change, energy generation, transmission and distribution, transportation, water utilization, resource use, land use, conservation, cities and communities, business practices, and even lifestyles) in furtherance of sustainability.

This Special Issue provides a forum for researchers and practitioners to bring these applications to the fore by prompting insightful overviews or reviews, in-depth formulations, new methodologies, and new applications. The research areas for proposed topics include, but are not limited to:

• Antennas and sensors;
• Artificial intelligence;
• Autonomous systems;
• Data analysis and modeling;
• Deep learning;
• Digital technologies;
• Electric vehicles;
• Emerging technologies;
• Health management
• Health technologies:
• Internet of Things;
• Machine learning;
• Reinforcement learning;
• Renewable energy;
• Robotics;
• Networks.

Dr. Mobayode O. Akinsolu
Dr. Uyoata E. Uyoata
Dr. Abimbola O Sangodoyin
Guest Editors

Manuscript Submission Information

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• sustainable development
• sustainability