Syamak Pazireh is a PhD in mechanical engineering whose work spans aerospace systems, turbomachinery, advanced manufacturing, and the integration of artificial intelligence and machine learning into engineering analysis and design. His research focused on the development of high-fidelity computational frameworks to model thermal–fluid behavior, optimize complex mechanical systems, and enhance predictive capabilities for industrial applications. Throughout his studies, Dr. Pazireh leveraged both physics-based models and data-driven methods to address challenges in turbomachinery performance, metal additive manufacturing, and energy-intensive engineering systems. He has contributed to the scientific community through peer-reviewed publications and conference presentations and continues to serve as a reviewer for international journals. Alongside his academic activities, Dr. Pazireh works in the automotive sector as an Associate Engineer, applying his technical expertise to real-world industrial problems. His work involves system analysis and the deployment of engineering tools to support product development, component validation, and performance optimization. Leveraging AI/ML methods in engineering applications remains Dr. Pazireh's interest area. He is committed to contributing to next-generation engineering solutions through research and cross-disciplinary collaboration.