Education š
Samira is a Ph.D. candidate in Mechanical Engineering at the University of Cape Town (2021-2024). She earned her M.Sc. in Manufacturing Systems Engineering from Universiti Putra Malaysia in 2015 and holds a B.Sc. in Industrial Design from Valiasr College, Tehran. Her foundational studies include a discrete associate degree in Technical Drawing from the University of Applied Science & Technology, Khorasan, Iran (2005). Additionally, Samira has a Postgraduate Diploma in AI & ML from the National Institute of Technology, Warangal, and completed the Oxford AI Programme, reflecting her commitment to bridging engineering with emerging technologies.
Experience š¼
Samira founded Caspian Felez Ofogh, where she directed industrial inspections, streamlining processes, and ensuring adherence to international standards. As Head of Mechanical Design Engineers at APEC, she managed projects in steel plant design and implemented Safety In Design principles. Previously, at Amin Industrial Company, she optimized production and maintenance, advancing Predictive Maintenance (PdM) methods. Her extensive background in production planning includes leading a team at Mashhad Millang Corporation to achieve ISO standards. As IBM TechXchange Liaison, she promotes diversity in AI, alongside her leadership role in UCTās Postgraduate Student Council.
Awards and Honors š
Samira was awarded the IBM Champion badge for her significant contributions to AI advocacy and community leadership. She served as Chairperson of UCTās EBE PG SC, championing postgraduate student rights and initiating successful workshops. Her dedication earned her high recognition in both industrial and academic spheres. Samira’s publications, including books and book chapters on engineering and composite materials, further highlight her expertise. She is also recognized for translating engineering texts into Farsi, broadening access to specialized knowledge in Iran.
Research Focus š¬
Samira’s research interests span advanced mechanical analysis, AI in engineering, and non-destructive testing (NDT) for material characterization. She integrates machine learning algorithms in mechanical testing, pioneering methods that enhance material durability and operational efficiency. Her recent works include microstructural analysis under blast loads and Austenitic Stainless Steel’s response to stress. Samira’s publications explore AI-driven advancements in NDT, and she continues to bridge AI with mechanical engineering to innovate in predictive analysis, material integrity, and sustainable manufacturing practices.
Conclusion š
Overall, Samira Gholizadeh has demonstrated impressive technical capabilities, leadership qualities, and a clear impact on her field. With her commitment to innovation and inclusion, as evidenced by her leadership roles and her active role in promoting women in AI, she is a well-rounded candidate for the Best Researcher Award. Her profile speaks of a driven and versatile researcher, well-aligned with the values of academic excellence and professional integrity.