Junhong CHEN

Junhong CHEN serves as a Research Fellow at Hasselt University within the Faculty of Engineering Technology. His primary affiliations include the Capacity group Engineering Technology, the Engineering Materials and Applications research group, and the Digital Future Lab—where he contributes specialized expertise in computer vision and robotics.

His research centers on solving critical challenges in robotic perception and manipulation through Deep Learning. Key focus areas include transparent object grasping—a complex industrial automation problem requiring novel approaches to visual processing and motor control. This work directly addresses limitations in current robotic systems handling glass, plastic, or other optically challenging materials.

CHEN recently led the project 'Deep Learning based methods for transparent object grasping' (June 2023-March 2024), which developed advanced neural network frameworks for robotic vision systems. While no student supervision details are publicly listed, his affiliation with active research groups indicates ongoing mentorship within technical teams. His work demonstrates practical applications in logistics automation and smart manufacturing environments.

As part of Hasselt University's Engineering Materials and Applications group and Digital Future Lab, CHEN operates at the intersection of material science and AI-driven engineering solutions—contributing to the institution's strategic focus on digital transformation in industrial processes.