Hongbin Yan | Applied Soft Computing | Research Excellence Award

Prof. Hongbin Yan | Applied Soft Computing | Research Excellence Award

School of Business, East China University of Science and Technology | China 

He is a senior scholar in management science and engineering with extensive experience in research, teaching, and academic leadership at a leading research university. His academic background spans management, knowledge science, and information systems, providing a strong interdisciplinary foundation for both theoretical and applied research. His work primarily focuses on uncertain decision analysis, evaluation methodologies, and the integration of qualitative and quantitative approaches in management research. A significant portion of his research addresses technological innovation, new product development, service management, and quality management under uncertain and dynamic environments. He has made notable contributions to kansei engineering, computing with words, and consumer-oriented evaluation models, particularly in the context of product design, customer satisfaction, and innovation decision support. His research emphasizes the use of consumer demand, online reviews, and design thinking to support technological recombination and innovation strategies. As a principal investigator on multiple competitive research projects supported by major national and regional funding agencies, he has advanced methodological frameworks that bridge theory and real-world managerial practice. In teaching, he actively contributes to undergraduate, graduate, doctoral, and professional education, with a strong emphasis on research methodology, information systems, and managerial decision making.

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Featured Publications

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"