Papers
16
Total Citations
308
H-Index
8
About
Shayan Shayesteh is a pioneering researcher at the intersection of construction safety, human-robot collaboration, and intelligent sensing technologies. His work focuses primarily on advancing automation and robotics within the Architecture, Engineering, and Construction (AEC) industry, with a particular emphasis on making jobsites safer and more efficient through cutting-edge human-centered approaches. Shayesteh's most influential contributions explore how workers and robots can collaborate effectively on construction sites. His highly cited 2022 study on human-robot teaming (88 citations) demonstrated the power of immersive technologies and wearable physiological sensors in safety training, while complementary work leveraged EEG-based systems to recognize and quantify worker trust in collaborative robots (33 citations). He has also developed affordable multiagent robotic systems for detecting fall hazards—the leading cause of construction fatalities—achieving notable traction with 31 citations. Further research investigates how robots' autonomy levels affect workers' cognitive load, and how generative adversarial networks can enable robots to perceive human mental states in real time. More recently, Shayesteh has expanded into wearable exoskeleton research, examining their cognitive impacts on workers during material handling. Collectively accumulating nearly 300 citations in just a few years, his body of work represents a compelling vision for safer, more human-centric construction environments.
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