Ali Golbaf

Ali Golbaf is an Associate Lecturer at the School of Engineering, Computing and Mathematics within the Faculty of Science and Engineering at the University of Plymouth. He is currently pursuing a PhD in Computer Science, funded by UK Research and Innovation (UKRI). Prior to this, he earned a BSc in Mechanical Engineering from Shahrood University of Technology (2014) and an MSc in Mechanical Engineering from the University of Guilan (2017), both in Iran.

His research focuses on leveraging Artificial Intelligence to develop non-invasive, objective biomarkers for clinical management of cancers, particularly brain tumors. His interdisciplinary work bridges mechanical engineering principles—such as finite element analysis, fluid-structure interaction, and scaling laws—with AI-driven healthcare solutions. Notable contributions include studies on turbulent boundary layers, dynamic systems scaling, and material compaction processes.

Ali’s publications span topics ranging from AI applications in oncology to mechanical engineering fundamentals, reflecting his dual expertise. He has actively collaborated on experimental and numerical investigations across diverse fields, including impact mechanics, powder metallurgy, and thermal dynamics. His PhD research aims to integrate machine learning with clinical diagnostics, addressing unmet needs in precision oncology.

While no scientific awards are explicitly listed, his work contributes to the UN Sustainable Development Goals (SDGs) related to health and innovation. Ali is funded by UKRI for his doctoral studies and currently has no listed advisees or grants.