Samira Gholizadeh

About me

Throughout my academic journey, I have gained a solid foundation in understanding the fundamental principles of materials behaviour, mechanical properties, and their practical applications. My research has equipped me with a diverse set of skills, including advanced materials characterization techniques, mechanical behaviour of materials, machine learning and data analysis.

I have developed a strong foundation in mechanical and materials engineering, with a specific focus on failure analysis. I am fascinated by the intricate relationship between material properties, mechanical properties, and failure mechanisms. 

I thrive on solving complex problems, and failufailure analysis presents unique challenges that require a systematic and analytical approach. I have honed my analytical skills through hands-on laboratory work, research projects, and industry projects. I am adept at using various analytical techniques, such as microscopy and mechanical testing, to identify deformation mechanisms, determine failure modes, and provide actionable recommendations.

One notable project involved investigating the mechanical properties and microstructural evolution of steel materials under blast loads to investigate their deformation mechanisms and their correlation to mechanical properties. This experience honed my problem-solving abilities and fostered my passion for pushing the boundaries of materials engineering.

My background as a Machine Learning engineer coupled with a postgraduate diploma in Artificial Intelligence (AI) and Machine Learning (ML), has uniquely positioned me to contribute to the innovative intersection of AI and Mechanical Engineering and equipped me with a solid foundation in cutting-edge technologies. I've contributed significantly to the field by publishing several articles that showcase my dedication to advancing AI. I was recognized as an IBM Champion, drawing on my extensive experience as a machine learning engineer and user group leader in Women in AI community on IBM TechXchange community. 

Currently, I am pursuing a Ph.D. in Mechanical & Materials Engineering with a focus on Mechanical properties, and Materials characterisations. This dual expertise allows me to bridge the gap between AI and Mechanical Engineering, exploring innovative ways to integrate intelligent systems into non-destructive testing processes. By combining these fields, I aim to contribute to the development of more efficient and advanced technologies for ensuring the structural integrity and safety of materials.

My unique background positions me as a well-rounded professional, capable of approaching challenges with a holistic perspective. I am committed to driving progress at the intersection of AI and Mechanical & Materials Engineering, pushing the boundaries of what is possible in both fields.

In addition to my academic achievements, I have also collaborated with multidisciplinary teams, fostering effective communication and teamwork skills. I thrive in an intellectually stimulating environment and enjoy exchanging ideas with colleagues to tackle complex challenges. Moreover, I am proficient in using Machine learning techniques and industry-standard program and software tools such as Python, TensorFlow, SolidWorks, and AutoCAD, which enable me to apply theoretical concepts to practical engineering problems efficiently.

I am eager to contribute to any relative projects and collaborate with esteemed researchers who share a similar passion for advancing the field of materials and mechanical engineering and AI.