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About

Mahmoud Habibnezhad is a pioneering researcher at the intersection of human-robot collaboration, brain-computer interfaces, and construction automation. His work addresses some of the most pressing challenges facing the construction industry — labor shortages, safety hazards, and stagnant productivity — by developing innovative technologies that seamlessly integrate human cognition with robotic systems. Habibnezhad's most influential contributions include groundbreaking research on brainwave-driven human-robot collaboration and hands-free teleoperation of construction robots using brain-computer interfaces, which together have garnered over 320 citations since 2021, signaling their transformative impact on the field. His research envisions construction sites where workers can direct robots using neural signals, dramatically reducing physical risk while enhancing operational efficiency. Beyond brain-computer interfaces, Habibnezhad has investigated the systemic barriers to robotics adoption in construction, developed worker-in-the-loop cyber-physical systems for safe human-robot interaction, and explored physiologically based communication channels for worker-aware task planning. Notably, he has also examined immersive virtual agents as educational tools for robotic safety training. Collectively, his body of work positions him as a leading voice in reshaping how humans and machines collaborate on tomorrow's construction sites.