Special Issue: Applied Mathematics in Advanced Modelling and Computing for Sustainability

2024-09-23

Mathematics is foundational in engineering, particularly in addressing complex problems that traditional exact search methods often cannot efficiently solve due to their high computational demands. Recent advancements in artificial intelligence (AI) and optimization algorithms have empowered researchers to effectively tackle these challenges across diverse engineering domains. As global challenges intensify, the integration of advanced computing, calculative intelligence, and mathematical frameworks has become essential for promoting sustainability across multiple sectors.

This special issue seeks to explore the transformative potential of applied mathematics in advanced modeling and computing to address pressing sustainability issues related to the environment, society, finance, economy, healthcare, education, energy, transportation, administration, and manufacturing. We invite original research articles, case studies, and reviews that investigate how mathematical modeling and optimization, combined with advanced computational methods, can enhance sustainable practices and facilitate informed decision-making processes.

We welcome contributions focusing on, but not limited to, the following topics:

Applied Mathematics in Engineering for Sustainability:Investigating the role of mathematical frameworks in developing innovative engineering solutions.
Optimization Algorithms for Renewable Energy:Enhancing the efficiency of renewable energy systems and power plants through advanced mathematical techniques.
Sustainable Resource Management: Utilizing mathematical modeling for effective resource allocation and environmental conservation strategies.
Heuristic and Meta-Heuristic Approaches: Implementing advanced algorithms in operations research to optimize sustainable practices across various sectors.
Machine Learning in Healthcare: Analyzing how AI techniques can improve accessibility and resource allocation within healthcare systems.
Fuzzy Systems for Decision-Making: Developing robust models to address environmental and economic sustainability challenges.
Complex Systems Analysis in Transportation: Applying mathematical analysis to enhance efficiency in transportation and logistics.
Modeling Climate Change Strategies: Utilizing simulation techniques to devise effective mitigation and adaptation strategies for climate change.
Industrial Mathematics in Manufacturing: Focusing on applications aimed at waste reduction and sustainability in manufacturing processes.

By highlighting the intersection of advanced mathematics, AI, and sustainability, this special issue aims to advance the understanding and application of optimization methods in addressing complex engineering and sustainability challenges. We look forward to receiving high-quality contributions that reflect the innovative integration of these fields.

Keywords: applied mathematics, sustainability, artificial intelligence, optimization algorithms, mathematical modeling, operations research, industrial mathematics, heuristic and meta-heuristic algorithms, machine learning, fuzzy sets and systems.

Guest Editor

Dr. Charles Liu

Affiliation: School of Electrical and Computer Engineering, University of Sydney
Bio: Dr. Charles Liew holds a Ph.D. in Computer Science and brings over 20 years of research and development experience in machine learning and data science. He specializes in intelligent computing and data engineering. His expertise encompasses deep learning applications in various domains, including healthcare and finance, with notable projects like Smart Edge Computing for Industry 4.0, AIoT Smart Green, Deep Patronymics and Intelligent CRM systems. Dr. Liew has published 20 scientific papers and has extensive experience in project management, proposal writing, and international collaboration. His strong industry background equips him to bridge the gap between academia and practical applications, enhancing student training with real-world insights. As a Research Lead, he excels in stakeholder engagement and multi-institute project coordination, making him well-suited to drive impactful research initiatives in sustainability.

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