Mahvelatishamsabadi Morteza | Machines | Best Researcher Award

Mr. Mahvelatishamsabadi Morteza | Machines | Best Researcher Award

University of Ulsan | South Korea

Mahvelatishamsabadi Morteza was born and raised in Mashhad, often known as Iran’s cultural capital. He completed his bachelor’s degree in pure mathematics and later pursued a master’s degree in the same field, with a focus on functional analysis. His academic journey developed in him a strong foundation in abstract thinking and problem-solving. Alongside his studies, he discovered a passion for teaching geometry, which gradually evolved into a decade-long career in education. Teaching mathematics in several well-known private high schools, he focused on creating a student-centered classroom environment where problem-solving, creativity, and collaboration were encouraged. To refine his teaching approach, he attended educational and psychological training, enabling him to establish effective and friendly connections with students. His academic interests later expanded beyond mathematics, leading him to pursue industrial engineering in South Korea under the guidance of Professor Sudong Lee. His research primarily focuses on artificial intelligence, including deep learning, machine learning, image processing, and weld defect detection. His master’s thesis centers on automated weld defect detection in radiographic images using advanced techniques such as normalizing flows. Fluent in Persian and English, and skilled in Python programming, he combines mathematical rigor with modern computational methods. Outside academics, he enjoys sports, particularly soccer, along with reading, cooking, and music, which fuel his motivation and resilience.

Profile: Orcid 

Featured Publications 

"Automated Weld Defect Detection in Radiographic Images Using Normalizing Flows"