معرفی
Brandon Johns is a Research Fellow in the Department of Mechanical & Aerospace Engineering at Monash University, Faculty of Engineering. His work centers on advancing automation in construction, particularly through robotics, computer vision, and intelligent modeling of crane systems.
Research Interests: His research spans Construction Automation, Autonomous Cranes, Computer Vision, Physics-Informed Neural Networks, and Structural Dynamics. He develops novel solutions for real-time monitoring, control, and safety enhancement in high-rise building construction, with a focus on crane operations and curtain wall installation.
The analysis of his recent publications reveals a strong trend toward integrating AI and machine learning with mechanical system modeling. His work bridges the gap between theoretical dynamics and practical construction robotics, particularly in vision-based payload tracking and stabilization. He frequently applies physics-informed models to improve prediction accuracy in complex mechanical environments.
Collaborations and Research Output: He actively collaborates with researchers such as E. Abdi and M. Arashpour. His publications appear in reputable journals including Advanced Engineering Informatics, Measurement, and Archives of Civil and Mechanical Engineering, as well as major conferences like ISARC and ACRA.
Advising and Grants: While no formal advisees or grant funding are mentioned in the text, his consistent research output suggests active involvement in funded projects related to construction robotics and intelligent systems.
Labs and Teams: Although not explicitly named, his research aligns with advanced robotics and smart infrastructure labs within the Faculty of Engineering at Monash University, likely contributing to teams focused on automation in civil and mechanical engineering applications.
