SAEM is a distinguished international peer-reviewed journal dedicated to fostering innovation and excellence across a broad spectrum of domains unified by the common themes of systems assessment and engineering management. The journal aims to publish high-quality scientific papers that significantly contribute to the understanding, advancement, and practical application of methodologies, tools, and practices in assessing systems performance and optimizing engineering management. SAEM embraces a diverse array of both conventional and cutting-edge domains, including but not limited to:

• Systems Performance Assessment: Unveiling methodologies and techniques for evaluating system efficiency, resilience, sustainability, and optimization strategies.
• Engineering Management Practices: Exploring decision-making processes, resource allocation, project management, and problem-solving in complex engineering systems, with particular emphasis on decision making.
• Optimization Techniques: Advancing the field of optimization methods, including mathematical programming, numerical optimization, multi-objective optimization, and artificial intelligence-driven optimization strategies, as well as data envelopment analysis.
• Risk Management and Resilience Engineering: Investigating approaches to mitigate risks, enhance system resilience, and ensure robust performance in dynamic environments.
• Sustainability and Green Engineering: Addressing challenges related to sustainable development, environmental impact assessment, and green engineering practices in engineering management.
• Emerging Technologies and Trends: Highlighting innovative methodologies, breakthrough technologies, and emerging trends that shape the landscape of systems assessment and engineering management.

SAEM serves as a platform for disseminating impactful research that bridges the gap between these diverse conventional and cutting-edge domains, fostering cross-disciplinary collaboration and driving innovation. By advancing optimal thinking, computational intelligence, and state-of-the-art methodologies, the journal aims to contribute to the advancement of knowledge and the practical application of optimal solutions in various fields.