Ibrahim Deiab
Australian University, Kuwait, American University of Sharjah
Papers
4
Total Citations
84
H-Index
3
About
Ibrahim Deiab is a multidisciplinary researcher whose work spans advanced manufacturing, computational optimization, and emerging fabrication technologies. With a career bridging traditional manufacturing engineering and cutting-edge additive manufacturing, Deiab has established himself as a significant voice in the field of 3D and 4D printing research. His most-cited contribution, a comprehensive 2024 state-of-the-art review on fused deposition modeling (FDM) for polymer blends and composites, has rapidly garnered 65 citations, reflecting the field's hunger for authoritative synthesis of innovations, challenges, and applications in polymer-based additive manufacturing. His pioneering work on 4D printing explores dual-stimuli responsive PLA/APHA/TPU blends designed to overcome the longstanding trade-off between mechanical toughness and low-temperature activation in shape memory polymers — work with profound implications for patient-specific medical devices. Earlier in his career, Deiab applied genetic algorithms to concurrently optimize manufacturing cycle costs and robot arm design parameters, demonstrating an enduring commitment to intelligent, systems-level engineering solutions. Across nearly two decades of scholarship, his research consistently bridges computational intelligence with practical manufacturing challenges, making his profile essential reading for students and researchers in smart manufacturing and advanced materials processing.
Research Focus
Key Achievements
Top Papers
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- 4GA based optimization of manufacturing cycle cost3 citations · 2007