Poorya Ghafoorpoor Yazdi

Poorya Ghafoorpoor Yazdi is an Assistant Professor in Manufacturing Systems at Eastern Mediterranean University, Faculty of Engineering. His research focuses on smart manufacturing, cyber-physical systems, automation, and learning factories, with strong alignment to industrial sustainability and digital transformation in production environments.

Research Interests: His work spans smart industry, robotics and automation, control system design, manufacturing simulation, and factory automation. He is particularly active in developing human-centric monitoring systems for reconfigurable manufacturing and integrating real-time data for spatial analysis in industrial settings. His research supports the advancement of learning factories as platforms for sustainable and innovative industrial education.

Recent Research Trends: Over the past few years, Dr. Yazdi's publications have centered on cyber-physical architectures, circular manufacturing systems, and ambient sensor data analysis in factories. His work combines simulation, real-time locating systems, and hands-on learning methodologies, reflecting a multidisciplinary approach bridging engineering, computer science, and industrial education.

Collaborations and Research Output: He actively collaborates with researchers such as S. Thiede, A. Sbaragli, and F. Pilati, contributing to high-impact journals like Journal of Intelligent Manufacturing and Production and Manufacturing Research. His work has resulted in over 20 research outputs, including articles, conference contributions, and datasets.

Advising and Grants: While formal advisees are not listed, his involvement in research projects suggests mentorship roles in graduate research. He has contributed to funded research efforts, particularly in smart manufacturing and learning factory development, though specific grant details are not provided.

Labs and Teams: Dr. Yazdi is part of a dynamic research network focused on learning factories and sustainable manufacturing systems. His work involves interdisciplinary teams working on digital twins, sensor integration, and reconfigurable production systems, often in collaboration with European institutions.