AmirPouya Masoumi is a PhD student in the Department of Mechatronics at Atlantic Technological University, where he conducts research under the supervision of Dr. Marion McAfee and Dr. Ramen Ghosh. His doctoral work focuses on monitoring and controlling fused deposition modeling (FDM) processes using finite element methods, deep learning, and physics-informed machine learning to enhance precision and efficiency in additive manufacturing.
Before pursuing his PhD, AmirPouya earned his Bachelor of Science in Mechanical Engineering from Shiraz University, where he specialized in renewable energy systems. His research during this time involved computational fluid dynamics (CFD) and artificial intelligence (AI) to model and optimize solar energy systems, demonstrating his early interest in interdisciplinary approaches to engineering challenges.
He further expanded his expertise by completing a Master of Science in Mechatronic Engineering at Shiraz University of Technology. His thesis centered on intelligent control systems and advanced mechatronic applications for Stirling engines, combining real-time control algorithms, embedded systems, and automation to improve performance and reliability.
With a strong foundation in mechanical systems, computational modeling, and intelligent control, AmirPouya is now advancing the integration of machine learning and physics-based simulations in additive manufacturing during his PhD. His research aims to bridge the gap between theoretical models and practical implementations in FDM in pharmaceutical manufacturing.