Sam Bakhtiari

Dr. Sam Bakhtiari is a Research Fellow at Curtin University's Curtin Corrosion Centre, affiliated with the WASM: Minerals, Energy and Chemical Engineering School under the Faculty of Science and Engineering. His research focuses on materials science, metallurgy, and corrosion engineering, with particular emphasis on NiTi-based shape memory alloys, phase transformations, and corrosion mechanisms. He applies data science techniques, such as machine learning models, to study materials degradation and stress corrosion cracking.

Dr. Bakhtiari's work bridges experimental and computational approaches, exploring topics like amorphization in nanocomposites, deformation-induced martensite stabilization, and additive manufacturing of metals. He collaborates on projects involving superalloys and metallic glasses, emphasizing their mechanical properties and structural integrity. His contributions span journals like Shape Memory and Superelasticity, Acta Materialia, and Journal of the Electrochemical Society.

Key research trends in his publications include:

• Phase behavior and defect engineering in NiTi alloys.
• Predictive modeling of corrosion processes using XGBoost and electrochemical data.
• Design of functionally graded materials for tailored mechanical responses.

No scientific awards are listed. His affiliations include the Curtin Corrosion Centre, and he maintains an ORCID profile (https://orcid.org/0000-0002-8808-8427). Experimental and computational datasets underpin his work, with a focus on materials innovation for engineering applications.