Dr. Shahadat Hussain is a materials scientist specializing in additive manufacturing, metamaterials, and data-driven materials design. His research focuses on the development and characterization of advanced functional materials, with particular emphasis on laser powder bed fusion (LPBF), triply periodic minimal surface (TPMS) structures, and shape memory alloys, including nickel–titanium (NiTi) systems.
( About me )
Dr. Shahadat Hussain is a materials scientist specializing in additive manufacturing, metamaterials, and data-driven materials design. His research focuses on the development and characterization of advanced functional materials, with particular emphasis on laser powder bed fusion (LPBF), triply periodic minimal surface (TPMS) structures, and shape memory alloys, including nickel–titanium (NiTi) systems.
He works at the intersection of materials science, mechanical engineering, and computational modeling, exploring the relationships between processing, microstructure, and mechanical performance. His research integrates machine learning techniques to accelerate materials discovery and optimize manufacturing processes.
Dr. Hussain is currently affiliated with New York University Abu Dhabi, where he is engaged in interdisciplinary research with applications in lightweight structures, biomedical devices, and energy systems. He has contributed to multiple peer-reviewed publications and actively serves as a reviewer for several international journals in materials science and engineering.
